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IEEE Transactions on Medical Imaging, Volume 40
Volume 40, Number 1, January 2021
- Scott S. Hsieh, Kris Iniewski:
Improving Paralysis Compensation in Photon Counting Detectors. 3-11 - Jia-Jun Qiu, Jin Yin, Wei Qian, Jin-Heng Liu, Zi-Xing Huang, Hao-Peng Yu, Lin Ji, Xiao-Xi Zeng:
A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images. 12-25 - Yi Jiang, Weixun Chen, Min Liu, Yaonan Wang, Erik Meijering:
3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network. 26-37 - Shufan Yang, Christina Lemke, Benjamin F. Cox, Ian P. Newton, Inke S. Näthke, Sandy Cochran:
A Learning-Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract. 38-47 - Shi Su, Zhilang Qiu, Chao Luo, Caiyun Shi, Liwen Wan, Yanjie Zhu, Ye Li, Xin Liu, Hairong Zheng, Dong Liang, Haifeng Wang:
Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients. 48-58 - Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu:
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. 59-70 - Floris Jansen, Timothy W. Deller, Mark D. Fries, Mohammad Mehdi Khalighi, Sharon L. White, Lauren L. Radford, Jonathan E. McConathy, Suzanne E. Lapi:
Real-Time Gain Control of PET Detectors and Evaluation With Challenging Radionuclides. 71-80 - Xiaoxi Pan, Trong-Le Phan, Mouloud Adel, Caroline Fossati, Thierry Gaidon, Julien Wojak, Eric Guedj:
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging. 81-92 - Jun Ma, Jian He, Xiaoping Yang:
Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs. 93-104 - Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala:
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training. 105-115 - Ruitao Xie, Jingxin Liu, Rui Cao, Connor S. Qiu, Jiang Duan, Jon Garibaldi, Guoping Qiu:
End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network. 116-128 - Mathias Davids, Bastien Guérin, Valerie Klein, Lawrence L. Wald:
Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints. 129-142 - Along He, Tao Li, Ning Li, Kai Wang, Huazhu Fu:
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading. 143-153 - Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. 154-165 - Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye:
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. 166-179 - Nilesh A. Kande, Rupali Dakhane, Ambedkar Dukkipati, Phaneendra K. Yalavarthy:
SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images. 180-192 - Klaudius Scheufele, Shashank Subramanian, George Biros:
Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan. 193-204 - Alan Courteau, John McGrath, Paul Michael Walker, Rosie Pegg, Gary Martin, Ruslan Garipov, Peter Doughty, Alexandre Cochet, François Brunotte, Jean-Marc Vrigneaud:
Performance Evaluation and Compatibility Studies of a Compact Preclinical Scanner for Simultaneous PET/MR Imaging at 7 Tesla. 205-217 - Qian Wang, Li Sun, Yan Wang, Mei Zhou, Menghan Hu, Jiangang Chen, Ying Wen, Qingli Li:
Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks. 218-227 - Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing:
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images. 228-238 - Vineet Edupuganti, Morteza Mardani, Shreyas Vasanawala, John M. Pauly:
Uncertainty Quantification in Deep MRI Reconstruction. 239-250 - Michael Kircher, Gunnar Elke, Birgit Stender, María Hernández Mesa, Felix Schuderer, Olaf Dössel, Matthew Fuld, Ahmed F. Halaweish, Eric A. Hoffman, Norbert Weiler, Inéz Frerichs:
Regional Lung Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography. 251-261 - Shumao Pang, Chunlan Pang, Lei Zhao, Yangfan Chen, Zhihai Su, Yujia Zhou, Meiyan Huang, Wei Yang, Hai Lu, Qianjin Feng:
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation. 262-273 - Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. 274-285 - Yutong Xie, Jianpeng Zhang, Hao Lu, Chunhua Shen, Yong Xia:
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. 286-296 - Alexander Byers Brummer, David Hunt, Van M. Savage:
Improving Blood Vessel Tortuosity Measurements via Highly Sampled Numerical Integration of the Frenet-Serret Equations. 297-309 - Shuai Wang, Mingxia Liu, Jun Lian, Dinggang Shen:
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy. 310-320 - Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon:
Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors. 321-334 - Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu:
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks. 335-345 - Mucong Li, Tri Vu, Georgii Sankin, Brenton Winship, Kohldon Boydston, Russell Terry, Pei Zhong, Junjie Yao:
Internal-Illumination Photoacoustic Tomography Enhanced by a Graded-Scattering Fiber Diffuser. 346-356 - Huisi Wu, Junquan Pan, Zhuoying Li, Zhenkun Wen, Jing Qin:
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module. 357-370 - Toby Collins, Daniel Pizarro, Simone Gasparini, Nicolas Bourdel, Pauline Chauvet, Michel Canis, Lilian Calvet, Adrien Bartoli:
Augmented Reality Guided Laparoscopic Surgery of the Uterus. 371-380 - Rafat Damseh, Patrick Delafontaine-Martel, Philippe Pouliot, Farida Cheriet, Frederic Lesage:
Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks. 381-394 - Yuhan Liu, Minzhi Yin, Shiliang Sun:
DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors. 395-404 - Syed Ahmed Nadeem, Eric A. Hoffman, Jessica C. Sieren, Alejandro P. Comellas, Surya P. Bhatt, Igor Z. Barjaktarevic, Fereidoun Abtin, Punam K. Saha:
A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning. 405-418 - Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu:
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. 419-430 - Xuyang Cao, Houjin Chen, Yanfeng Li, Yahui Peng, Shu Wang, Lin Cheng:
Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation. 431-443 - Haikun Qi, Niccolo Fuin, Gastão Cruz, Jiazhen Pan, Thomas Küstner, Aurélien Bustin, René M. Botnar, Claudia Prieto:
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning. 444-454
Volume 40, Number 2, February 2021
- Patrick Stähli, Martin Frenz, Michael Jaeger:
Bayesian Approach for a Robust Speed-of-Sound Reconstruction Using Pulse-Echo Ultrasound. 457-467 - Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando C. Ombao:
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. 468-480 - Dong Liu, Danping Gu, Danny Smyl, Anil Kumar Khambampati, Jiansong Deng, Jiangfeng Du:
Shape-Driven EIT Reconstruction Using Fourier Representations. 481-490 - William Mandel, Reda Oulbacha, Marjolaine Roy-Beaudry, Stefan Parent, Samuel Kadoury:
Image-Guided Tethering Spine Surgery With Outcome Prediction Using Spatio-Temporal Dynamic Networks. 491-502 - Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen:
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. 503-513 - Judith E. Lutton, Sharon Collier, Till Bretschneider:
A Curvature-Enhanced Random Walker Segmentation Method for Detailed Capture of 3D Cell Surface Membranes. 514-526 - Weixun Chen, Min Liu, Qi Zhan, Yinghui Tan, Erik Meijering, Miroslav Radojevic, Yaonan Wang:
Spherical-Patches Extraction for Deep-Learning-Based Critical Points Detection in 3D Neuron Microscopy Images. 527-538 - Ilian Häggmark, Kian Shaker, Hans M. Hertz:
In Silico Phase-Contrast X-Ray Imaging of Anthropomorphic Voxel-Based Phantoms. 539-548 - Yuan Zhou, Sule Tinaz, Hemant D. Tagare:
Robust Bayesian Analysis of Early-Stage Parkinson's Disease Progression Using DaTscan Images. 549-561 - Anthony DiSpirito III, Daiwei Li, Tri Vu, Maomao Chen, Dong Zhang, Jianwen Luo, Roarke Horstmeyer, Junjie Yao:
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning. 562-570 - Mufeng Geng, Zifeng Tian, Zhe Jiang, Yunfei You, Ximeng Feng, Yan Xia, Kun Yang, Qiushi Ren, Xiangxi Meng, Andreas Maier, Yanye Lu:
PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography. 571-584 - Hyunseok Seo, Maxime Bassenne, Lei Xing:
Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions. 585-593 - Jihun Kim, Hah Min Lew, Jung-Hee Kim, Sangyeon Youn, Hasan Al Faruque, An Na Seo, Soo Yeun Park, Jin Ho Chang, Eunjoo Kim, Jae Youn Hwang:
Forward-Looking Multimodal Endoscopic System Based on Optical Multispectral and High-Frequency Ultrasound Imaging Techniques for Tumor Detection. 594-606 - Diego Rossinelli, Gilles Fourestey, Felix Schmidt, Björn Busse, Vartan Kurtcuoglu:
High-Throughput Lossy-to-Lossless 3D Image Compression. 607-620 - Haimiao Zhang, Baodong Liu, Hengyong Yu, Bin Dong:
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction. 621-634 - Dogu Baran Aydogan, Yonggang Shi:
Parallel Transport Tractography. 635-647 - Qi Zeng, Mohammad Honarvar, Caitlin Schneider, Shahed K. Mohammed, Julio Lobo, Emily H. T. Pang, Kirby T. Lau, Changhong Hu, James Jago, Siegfried R. Erb, Robert Rohling, Septimiu E. Salcudean:
Three-Dimensional Multi-Frequency Shear Wave Absolute Vibro-Elastography (3D S-WAVE) With a Matrix Array Transducer: Implementation and Preliminary In Vivo Study of the Liver. 648-660 - Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia:
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation. 661-672 - Naxin Cai, Houjin Chen, Yanfeng Li, Yahui Peng, Jiaxin Li:
Adaptive Weighting Landmark-Based Group-Wise Registration on Lung DCE-MRI Images. 673-687 - Zhe Jiang, Zhiyu Huang, Bin Qiu, Xiangxi Meng, Yunfei You, Xi Liu, Mufeng Geng, Gangjun Liu, Chuanqing Zhou, Kun Yang, Andreas Maier, Qiushi Ren, Yanye Lu:
Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography. 688-698 - Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. 699-711 - Tahereh Hassanzadeh, Daryl Essam, Ruhul A. Sarker:
2D to 3D Evolutionary Deep Convolutional Neural Networks for Medical Image Segmentation. 712-721 - Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz:
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. 722-734 - Xiahan Chen, Xiaozhu Lin, Qing Shen, Xiaohua Qian:
Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer. 735-747 - Daniel I. Gendin, Rohit Nayak, Yuqi Wang, Mahdi Bayat, Robert T. Fazzio, Assad A. Oberai, Timothy J. Hall, Paul E. Barbone, Azra Alizad, Mostafa Fatemi:
Repeatability of Linear and Nonlinear Elastic Modulus Maps From Repeat Scans in the Breast. 748-757 - Jianbo Tang, Kivilcim Kiliç, Thomas L. Szabo, David A. Boas:
Improved Color Doppler for Cerebral Blood Flow Axial Velocity Imaging. 758-764 - Javad Fotouhi, Arian Mehrfard, Tianyu Song, Alex Johnson, Greg Osgood, Mathias Unberath, Mehran Armand, Nassir Navab:
Development and Pre-Clinical Analysis of Spatiotemporal-Aware Augmented Reality in Orthopedic Interventions. 765-778
Volume 40, Number 3, March 2021
- Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. 781-792 - Soumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Csaba Juhász, Eishi Asano, Jeong-Won Jeong:
Deep Relational Reasoning for the Prediction of Language Impairment and Postoperative Seizure Outcome Using Preoperative DWI Connectome Data of Children With Focal Epilepsy. 793-804 - Can Zhao, Blake E. Dewey, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince:
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning. 805-817 - Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. 818-828 - Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi:
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning. 829-839 - Boyan Zhang, Zhiyong Wang, Junbin Gao, Chantal Rutjes, Kaitlin Nufer, Dacheng Tao, David Dagan Feng, Scott W. Menzies:
Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network. 840-851 - Ivana Labounková, René Labounek, Igor Nestrasil, Jan Odstrcilík, Ralf-Peter Tornow, Radim Kolár:
Blind Source Separation of Retinal Pulsatile Patterns in Optic Nerve Head Video-Recordings. 852-864 - Parisa Ghaderi Daneshmand, Alireza Mehridehnavi, Hossein Rabbani:
Reconstruction of Optical Coherence Tomography Images Using Mixed Low Rank Approximation and Second Order Tensor Based Total Variation Method. 865-878 - Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia:
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. 879-890 - Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Feiping Nie:
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. 891-904 - Yancun Lai, Fei Fan, Qingsong Wu, Wenchi Ke, Peixi Liao, Zhenhua Deng, Hu Chen, Yi Zhang:
LCANet: Learnable Connected Attention Network for Human Identification Using Dental Images. 905-915 - Renaud Hédouin, Christian Barillot, Olivier Commowick:
Interpolation and Averaging of Diffusion MRI Multi-Compartment Models. 916-927 - Yuhui Ma, Huaying Hao, Jianyang Xie, Huazhu Fu, Jiong Zhang, Jianlong Yang, Zhen Wang, Jiang Liu, Yalin Zheng, Yitian Zhao:
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. 928-939 - Dushyant Sahoo, Theodore D. Satterthwaite, Christos Davatzikos:
Hierarchical Extraction of Functional Connectivity Components in Human Brain Using Resting-State fMRI. 940-950 - Yuntong Bai, Yun Gong, Jianchao Bai, Jingyu Liu, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang:
A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study. 951-962 - Seung-Kyun Lee, Sukhoon Oh, Hyeong-Seop Kim, Byung-Pan Song:
Radio-Frequency Vector Magnetic Field Mapping in Magnetic Resonance Imaging. 963-973 - Thorsten Sellerer, Korbinian Mechlem, Ruizhi Tang, Kirsten Alexandra Taphorn, Franz Pfeiffer, Julia Herzen:
Dual-Energy X-Ray Dark-Field Material Decomposition. 974-985 - Alberto Rossi, Matin Hosseinzadeh, Monica Bianchini, Franco Scarselli, Henkjan J. Huisman:
Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. 986-995 - Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Modeling and Enhancing Low-Quality Retinal Fundus Images. 996-1006 - Sanghoon Cho, Seoyoung Lee, Jongha Lee, Donghyeon Lee, Hyoyi Kim, Jong-Hyun Ryu, Kilhwan Jeong, Kyu-Gyum Kim, Kwon-Ha Yoon, Seungryong Cho:
A Novel Low-Dose Dual-Energy Imaging Method for a Fast-Rotating Gantry-Type CT Scanner. 1007-1020 - Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein:
Foveated Model Observers for Visual Search in 3D Medical Images. 1021-1031 - Yurong Chen, Hui Zhang, Yaonan Wang, Yimin Yang, Xianen Zhou, Q. M. Jonathan Wu:
MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection. 1032-1041 - João Ramalhinho, Henry F. J. Tregidgo, Kurinchi Gurusamy, David J. Hawkes, Brian R. Davidson, Matthew J. Clarkson:
Registration of Untracked 2D Laparoscopic Ultrasound to CT Images of the Liver Using Multi-Labelled Content-Based Image Retrieval. 1042-1054 - Trevor Lewis Vent, Raymond Joseph Acciavatti, Andrew D. A. Maidment:
Development and Evaluation of the Fourier Spectral Distortion Metric. 1055-1064 - Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. 1065-1077 - Dimitris Perdios, Manuel Vonlanthen, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran:
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking. 1078-1089 - Yushan Zheng, Zhiguo Jiang, Fengying Xie, Jun Shi, Haopeng Zhang, Jianguo Huai, Ming Cao, Xiaomiao Yang:
Diagnostic Regions Attention Network (DRA-Net) for Histopathology WSI Recommendation and Retrieval. 1090-1103
Volume 40, Number 4, April 2021
- Nina Yu. Shokina, Gabriel Teschner, Andreas Bauer, Cameron Tropea, Herbert Egger, Jürgen Hennig, Axel Joachim Krafft:
Parametric Sequential Method for MRI-Based Wall Shear Stress Quantification. 1105-1112 - Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu:
Multi-Domain Image Completion for Random Missing Input Data. 1113-1122 - Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour:
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. 1123-1133 - Xiaoqing Guo, Chen Yang, Yajie Liu, Yixuan Yuan:
Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation. 1134-1146 - Myung Kyun Woo, Lance DelaBarre, Matt Waks, Jingu Lee, Russell Luke Lagore, Steve Jungst, Andrea N. Grant, Yigitcan Eryaman, Kâmil Ugurbil, Gregor Adriany:
Comparison of 16-Channel Asymmetric Sleeve Antenna and Dipole Antenna Transceiver Arrays at 10.5 Tesla MRI. 1147-1156 - Yahang Li, Zepeng Wang, Ruoyu Sun, Fan Lam:
Separation of Metabolites and Macromolecules for Short-TE 1H-MRSI Using Learned Component-Specific Representations. 1157-1167 - Meng Wang, Weifang Zhu, Kai Yu, Zhongyue Chen, Fei Shi, Yi Zhou, Yuhui Ma, Yuanyuan Peng, Dengsen Bao, Shuanglang Feng, Lei Ye, Dehui Xiang, Xinjian Chen:
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images. 1168-1183 - Leandra L. Brickson, Dongwoon Hyun, Marko Jakovljevic, Jeremy J. Dahl:
Reverberation Noise Suppression in Ultrasound Channel Signals Using a 3D Fully Convolutional Neural Network. 1184-1195 - Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Jiacheng Liu, Ling Shao:
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. 1196-1206 - Viktor Dremin, Zbignevs Marcinkevics, Evgeny A. Zherebtsov, Alexey Popov, Andris Grabovskis, Hedviga Kronberga, Kristine Geldnere, Alexander Doronin, Igor V. Meglinski, Alexander Bykov:
Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning. 1207-1216 - Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Shunren Xia, Dinggang Shen, Gang Li:
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction. 1217-1228 - Anton V. Nikolaev, Leon de Jong, Gert Weijers, Vincent Groenhuis, Ritse M. Mann, Françoise J. Siepel, Bogdan Mihai Maris, Stefano Stramigioli, Hendrik H. G. Hansen, Chris L. de Korte:
Quantitative Evaluation of an Automated Cone-Based Breast Ultrasound Scanner for MRI-3D US Image Fusion. 1229-1239 - Hernán Mella, Joaquín Mura, Hui Wang, Michael D. Taylor, Radomír Chabiniok, Jaroslav Tintera, Julio Sotelo, Sergio Uribe:
HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images. 1240-1252 - Quan Chen, Huajun She, Yiping P. Du:
Whole Brain Myelin Water Mapping in One Minute Using Tensor Dictionary Learning With Low-Rank Plus Sparse Regularization. 1253-1266 - Lena Nohava, Raphaela Czerny, Sigrun Roat, Michael Obermann, Andre Kuehne, Roberta Frass-Kriegl, Jacques Felblinger, Jean-Christophe Ginefri, Elmar Laistler:
Flexible Multi-Turn Multi-Gap Coaxial RF Coils: Design Concept and Implementation for Magnetic Resonance Imaging at 3 and 7 Tesla. 1267-1278 - Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. 1279-1289 - Jon S. Heiselman, Michael I. Miga:
Strain Energy Decay Predicts Elastic Registration Accuracy From Intraoperative Data Constraints. 1290-1302
Volume 40, Number 5, May 2021
- Yi Xue, Wenjian Qin, Chen Luo, Pengfei Yang, Yangkang Jiang, Tiffany Tsui, Hongjian He, Li Wang, Jiale Qin, Yaoqin Xie, Tianye Niu:
Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint. 1303-1318 - Yu-Ting Su, Yao Lu, Jing Liu, Mei Chen, An-An Liu:
Spatio-Temporal Mitosis Detection in Time-Lapse Phase-Contrast Microscopy Image Sequences: A Benchmark. 1319-1328 - Jinxi Xiang, Yonggui Dong, Yunjie Yang:
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging. 1329-1339 - Andreas Østvik, Ivar Mjåland Salte, Erik Smistad, Thuy Mi Nguyen, Daniela Melichova, Harald Brunvand, Kristina Haugaa, Thor Edvardsen, Bjørnar Leangen Grenne, Lasse Løvstakken:
Myocardial Function Imaging in Echocardiography Using Deep Learning. 1340-1351 - Piotr Kijanka, Matthew W. Urban:
Phase Velocity Estimation With Expanded Bandwidth in Viscoelastic Phantoms and Tissues. 1352-1362 - Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. 1363-1376 - Zhen Chen, Xiaoqing Guo, Yat Ming Peter Woo, Yixuan Yuan:
Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction. 1377-1389 - Md. Murad Hossain, Niloufar Saharkhiz, Elisa E. Konofagou:
Feasibility of Harmonic Motion Imaging Using a Single Transducer: In Vivo Imaging of Breast Cancer in a Mouse Model and Human Subjects. 1390-1404 - Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix. 1405-1416 - Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp:
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation. 1417-1427 - Léo Milecki, Jonathan Porée, Hatim Belgharbi, Chloé Bourquin, Rafat Damseh, Patrick Delafontaine-Martel, Frédéric Lesage, Maxime Gasse, Jean Provost:
A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy. 1428-1437 - Bente Thamsen, Pavlo Yevtushenko, Lina Gundelwein, Arnaud A. A. Setio, Hans Lamecker, Marcus Kelm, Marie Schafstedde, Tobias Heimann, Titus Kühne, Leonid Goubergrits:
Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability. 1438-1449 - Luis C. García-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Image Compositing for Segmentation of Surgical Tools Without Manual Annotations. 1450-1460 - Meiyan Huang, Xiumei Chen, Yuwei Yu, Haoran Lai, Qianjin Feng:
Imaging Genetics Study Based on a Temporal Group Sparse Regression and Additive Model for Biomarker Detection of Alzheimer's Disease. 1461-1473 - Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Gang Qu, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. 1474-1483 - Hanfan Wang, Chang Bian, Lingxin Kong, Yu An, Yang Du, Jie Tian:
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography. 1484-1498 - Yucheng Tang, Riqiang Gao, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman:
Body Part Regression With Self-Supervision. 1499-1507 - DongHun Ryu, Dongmin Ryu, YoonSeok Baek, Hyungjoo Cho, Geon Kim, Young Seo Kim, Yongki Lee, Yoosik Kim, Jong Chul Ye, Hyunseok Min, YongKeun Park:
DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning. 1508-1518
Volume 40, Number 6, June 2021
- Mengwei Ren, Neel Dey, James Fishbaugh, Guido Gerig:
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization. 1519-1530 - Zhu Meng, Zhicheng Zhao, Bingyang Li, Fei Su, Limei Guo:
A Cervical Histopathology Dataset for Computer Aided Diagnosis of Precancerous Lesions. 1531-1541 - Kibrom Berihu Girum, Gilles Créhange, Alain Lalande:
Learning With Context Feedback Loop for Robust Medical Image Segmentation. 1542-1554 - Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. 1555-1567 - Kirsten Alexandra Taphorn, Korbinian Mechlem, Thorsten Sellerer, Fabio De Marco, Manuel Viermetz, Franz Pfeiffer, Daniela Pfeiffer, Julia Herzen:
Direct Differentiation of Pathological Changes in the Human Lung Parenchyma With Grating-Based Spectral X-ray Dark-Field Radiography. 1568-1578 - Jun Yeon Won, Haewook Park, Seung-Eun Lee, Jeong-Whan Son, Yina Chung, Guen Bae Ko, Kyeong Yun Kim, Junghyun Song, Seongho Seo, Yeunchul Ryu, Jun-Young Chung, Jae Sung Lee:
Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method. 1579-1590 - Xingxin He, Ying Deng, Leyuan Fang, Qinghua Peng:
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network. 1591-1602 - Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. 1603-1617 - Yongtao Zhang, Haimei Li, Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei:
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. 1618-1631 - Zhenyuan Ning, Qing Xiao, Qianjin Feng, Wufan Chen, Yu Zhang:
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer's Disease Diagnosis. 1632-1645 - Peng Wan, Fang Chen, Chunrui Liu, Wentao Kong, Daoqiang Zhang:
Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging. 1646-1660 - Dong Sik Kim, Eunae Lee:
Measurement of the Lag Correction Factor in Low-Dose Fluoroscopic Imaging. 1661-1672 - Meiling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang:
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. 1673-1686 - Arturo Pardo, Samuel S. Streeter, Benjamin W. Maloney, José A. Gutiérrez-Gutiérrez, David M. McClatchy, Wendy A. Wells, Keith D. Paulsen, Jose M. Lopez-Higuera, Brian W. Pogue, Olga M. Conde:
Modeling and Synthesis of Breast Cancer Optical Property Signatures With Generative Models. 1687-1701 - Iman Aganj, Bruce Fischl:
Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value. 1702-1710 - Grant T. Gullberg, Uttam M. Shrestha, Alexander I. Veress, William Paul Segars, Jing Liu, Karen Ordovas, Youngho Seo:
Novel Methodology for Measuring Regional Myocardial Efficiency. 1711-1725 - Haoyin Zhou, Jagadeesan Jayender:
Real-Time Nonrigid Mosaicking of Laparoscopy Images. 1726-1736
Volume 40, Number 7, July 2021
- Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images. 1737-1749 - Yuanyuan Peng, Weifang Zhu, Zhongyue Chen, Meng Wang, Le Geng, Kai Yu, Yi Zhou, Ting Wang, Daoman Xiang, Feng Chen, Xinjian Chen:
Automatic Staging for Retinopathy of Prematurity With Deep Feature Fusion and Ordinal Classification Strategy. 1750-1762 - Zhihua Liu, Lei Tong, Long Chen, Feixiang Zhou, Zheheng Jiang, Qianni Zhang, Yinhai Wang, Caifeng Shan, Ling Li, Huiyu Zhou:
CANet: Context Aware Network for Brain Glioma Segmentation. 1763-1777 - Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang:
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation. 1778-1791 - Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu:
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer. 1792-1804 - Mingjie Gao, Jeffrey A. Fessler, Heang-Ping Chan:
Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images. 1805-1816 - Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, Geert Litjens:
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels. 1817-1826 - Fabien Boux, Florence Forbes, Julyan Arbel, Benjamin Lemasson, Emmanuel Luc Barbier:
Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting. 1827-1837 - Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar:
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. 1838-1851 - Christoph W. Lerche, Timon Radomski, Philipp Lohmann, Liliana Caldeira, Cláudia Régio Brambilla, Lutz Tellmann, Jürgen Scheins, Elena Rota Kops, Norbert Galldiks, Karl-Josef Langen, Hans Herzog, N. Jon Shah:
A Linearized Fit Model for Robust Shape Parameterization of FET-PET TACs. 1852-1862 - Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy. 1863-1874 - Mathilde Bateson, José Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained Domain Adaptation for Image Segmentation. 1875-1887 - Idan Steinberg, Jeesu Kim, Martin K. Schneider, Dongwoon Hyun, Aimen Zlitni, Sarah M. Hopper, Tal Klap, Geoffrey A. Sonn, Jeremy J. Dahl, Chulhong Kim, Sanjiv Sam Gambhir:
Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER) for Clinical Photoacoustic Imaging. 1888-1897 - Xiao-Yong Wei, Zhen-Qun Yang, Xu-Lu Zhang, Ga Liao, Ailin Sheng, S. Kevin Zhou, Yongkang Wu, Liang Du:
Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis. 1898-1910 - Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Temporal Memory Relation Network for Workflow Recognition From Surgical Video. 1911-1923 - Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo:
Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images. 1924-1933 - Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge M. Ambros, Wolfgang Dörr, Klaus Beiske, Peter F. Ambros, Allan Hanbury, Sabine Taschner-Mandl:
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation. 1934-1949 - Xin Yang, Haoran Dou, Ruobing Huang, Wufeng Xue, Yuhao Huang, Jikuan Qian, Yuanji Zhang, Huanjia Luo, Huizhi Guo, Tianfu Wang, Yi Xiong, Dong Ni:
Agent With Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound. 1950-1961
Volume 40, Number 8, August 2021
- Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li:
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning. 1964-1976 - Shuting Liu, Baochang Zhang, Yiqing Liu, Anjia Han, Huijuan Shi, Tian Guan, Yonghong He:
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks. 1977-1989 - Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. 1990-2001 - Rui-Qi Li, Xiao-Liang Xie, Xiao-Hu Zhou, Shi-Qi Liu, Zhen-Liang Ni, Yan-Jie Zhou, Gui-Bin Bian, Zeng-Guang Hou:
Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images. 2002-2014 - Avdo Celik, Chang-Hoon Choi, Lutz Tellmann, Claire Rick, N. Jon Shah, Jörg Felder:
Design and Construction of a PET-Compatible Double-Tuned 1H/31P MR Head Coil. 2015-2022 - Çagla Özsoy, Andrea Cossettini, Ali Özbek, Sergei Vostrikov, Pascal Hager, Xosé-Luís Dean-Ben, Luca Benini, Daniel Razansky:
LightSpeed: A Compact, High-Speed Optical-Link-Based 3D Optoacoustic Imager. 2023-2029 - Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. 2030-2041 - Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation. 2042-2052 - Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias:
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. 2053-2065 - Saransh Sharma, Aditya Telikicherla, Grace Ding, Fatemeh Aghlmand, Arian Hashemi Talkhooncheh, Mikhail G. Shapiro, Azita Emami:
Wireless 3D Surgical Navigation and Tracking System With 100μm Accuracy Using Magnetic-Field Gradient-Based Localization. 2066-2079 - Gongfa Jiang, Jun Wei, Yuesheng Xu, Zilong He, Hui Zeng, Jiefang Wu, Genggeng Qin, Weiguo Chen, Yao Lu:
Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs. 2080-2091 - Fatemeh Taheri Dezaki, Christina Luong, Tom Ginsberg, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang:
Echo-SyncNet: Self-Supervised Cardiac View Synchronization in Echocardiography. 2092-2104 - Elisabeth Hoppe, Jens Wetzl, Seung Su Yoon, Mario Bacher, Philipp Roser, Bernhard Stimpel, Alexander Preuhs, Andreas Maier:
Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging. 2105-2117 - Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen:
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images. 2118-2128 - Mahnoosh Tajmirriahi, Zahra Amini, Arsham Hamidi, Azhar Zam, Hossein Rabbani:
Modeling of Retinal Optical Coherence Tomography Based on Stochastic Differential Equations: Application to Denoising. 2129-2141 - Mohamed Abouhawwash, Adam M. Alessio:
Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept. 2142-2151 - Tianyu Ma, Qingyang Wei, Zhenlei Lyu, Debin Zhang, Hongyang Zhang, Rui Wang, Jiahong Dong, Yaqiang Liu, Rutao Yao, Zuo-Xiang He:
Self-Collimating SPECT With Multi-Layer Interspaced Mosaic Detectors. 2152-2169 - Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang:
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. 2170-2181 - Fernando Barber, Peter Langfield, Miguel Lozano, Ignacio García-Fernández, Josselin Duchateau, Mélèze Hocini, Michel Haïssaguerre, Edward J. Vigmond, Rafael Sebastián:
Estimation of Personalized Minimal Purkinje Systems From Human Electro-Anatomical Maps. 2182-2194
Volume 40, Number 9, September 2021
- Mohammadreza Amjadian, Seyed Masood Mostafavi, Jiangbo Chen, Zahra Kavehvash, Jingyi Zhu, Lidai Wang:
Super-Resolution Photoacoustic Microscopy Using Structured-Illumination. 2197-2207 - Mathias Lukas, Anne Kluge, Nicola Beindorff, Winfried Brenner:
Accurate Monte Carlo Modeling of Small-Animal Multi-Pinhole SPECT for Non-Standard Multi-Isotope Applications. 2208-2220 - Matthias Grimm, Javier Esteban, Mathias Unberath, Nassir Navab:
Pose-Dependent Weights and Domain Randomization for Fully Automatic X-Ray to CT Registration. 2221-2232 - Allen Lu, Shawn S. Ahn, Kevinminh Ta, Nripesh Parajuli, John C. Stendahl, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. 2233-2245 - Lasse Hansen, Mattias P. Heinrich:
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs. 2246-2257 - Lea Melki, Melina Tourni, Elisa E. Konofagou:
Electromechanical Wave Imaging With Machine Learning for Automated Isochrone Generation. 2258-2271 - Philipp Roser, Annette Birkhold, Alexander Preuhs, Christopher Syben, Lina Felsner, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier:
X-Ray Scatter Estimation Using Deep Splines. 2272-2283 - Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing:
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. 2284-2294 - Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio:
Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks. 2295-2305 - Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll:
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. 2306-2317 - Li Qi, Jian Wu, Xipan Li, Shuangyang Zhang, Shixian Huang, Qianjin Feng, Wufan Chen:
Photoacoustic Tomography Image Restoration With Measured Spatially Variant Point Spread Functions. 2318-2328 - Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger:
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. 2329-2342 - Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu:
Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism. 2343-2353 - Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang:
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. 2354-2366 - Amirsaeed Yazdani, Sumit Agrawal, Kerrick Johnstonbaugh, Sri-Rajasekhar Kothapalli, Vishal Monga:
Simultaneous Denoising and Localization Network for Photoacoustic Target Localization. 2367-2379 - Ruisheng Su, Sandra A. P. Cornelissen, Matthijs van der Sluijs, Adriaan C. G. M. van Es, Wim H. van Zwam, Diederik W. J. Dippel, Geert J. Lycklama, Pieter Jan van Doormaal, Wiro J. Niessen, Aad van der Lugt, Theo van Walsum:
autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients. 2380-2391 - Diping Song, Bin Fu, Fei Li, Jian Xiong, Junjun He, Xiulan Zhang, Yu Qiao:
Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field Function. 2392-2402 - Jingru Yi, Pengxiang Wu, Hui Tang, Bo Liu, Qiaoying Huang, Hui Qu, Lianyi Han, Wei Fan, Daniel J. Hoeppner, Dimitris N. Metaxas:
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. 2403-2414 - Sukun Tian, Miaohui Wang, Fulai Yuan, Ning Dai, Yuchun Sun, Wuyuan Xie, Jing Qin:
Efficient Computer-Aided Design of Dental Inlay Restoration: A Deep Adversarial Framework. 2415-2427 - Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu:
Contralaterally Enhanced Networks for Thoracic Disease Detection. 2428-2438 - Chen Chen, Yong Wang, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Xuantong Gong:
Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos. 2439-2451 - Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation. 2452-2462 - Xiaofei Wang, Lai Jiang, Liu Li, Mai Xu, Xin Deng, Lisong Dai, Xiangyang Xu, Tianyi Li, Yichen Guo, Zulin Wang, Pier Luigi Dragotti:
Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis. 2463-2476 - Alex Gutierrez, Michael Mullen, Di Xiao, Albert Jang, Taylor Froelich, Michael Garwood, Jarvis D. Haupt:
Reducing the Complexity of Model-Based MRI Reconstructions via Sparsification. 2477-2486 - Changhoon Choi, Wonseok Choi, Jeesu Kim, Chulhong Kim:
Non-Invasive Photothermal Strain Imaging of Non-Alcoholic Fatty Liver Disease in Live Animals. 2487-2495 - Shixiang Feng, Beibei Liu, Ya Zhang, Xiaoyun Zhang, Yuehua Li:
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis. 2496-2506 - Yan Li, Raksha Sreeramachandra Murthy, Yirui Zhu, Fengyi Zhang, Jianing Tang, Joseph N. Mehrabi, Kristen M. Kelly, Zhongping Chen:
1.7-Micron Optical Coherence Tomography Angiography for Characterization of Skin Lesions-A Feasibility Study. 2507-2512 - Ansh Kapil, Armin Meier, Keith Steele, Marlon Rebelatto, Katharina Nekolla, Alexander Haragan, Abraham Silva, Aleksandra Zuraw, Craig Barker, Marietta L. Scott, Tobias Wiestler, Simon Lanzmich, Günter Schmidt, Nicolas Brieu:
Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images. 2513-2523
Volume 40, Number 10, October 2021
- Nima Tajbakhsh, Holger Roth, Demetri Terzopoulos, Jianming Liang:
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. 2526-2533 - Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth:
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. 2534-2547 - Dwarikanath Mahapatra, Alexander Pollinger, Ling Shao, Mauricio Reyes:
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation. 2548-2562 - Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang:
Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning. 2563-2574 - Ruiwei Feng, Xiangshang Zheng, Tianxiang Gao, Jintai Chen, Wenzhe Wang, Danny Z. Chen, Jian Wu:
Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation. 2575-2588 - Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. 2589-2599 - Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Hu Chen, Jiliu Zhou, Leyuan Fang, Yi Zhang:
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. 2600-2614 - Dawood Al Chanti, Vanessa Gonzalez Duque, Marion Crouzier, Antoine Nordez, Lilian Lacourpaille, Diana Mateus:
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound. 2615-2628 - Wenji Wang, Qing Xia, Zhiqiang Hu, Zhennan Yan, Zhuowei Li, Yang Wu, Ning Huang, Yue Gao, Dimitris N. Metaxas, Shaoting Zhang:
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. 2629-2641 - Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. 2642-2655 - Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data. 2656-2671 - Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. 2672-2684 - Chuanbin Liu, Hongtao Xie, Yongdong Zhang:
Self-Supervised Attention Mechanism for Pediatric Bone Age Assessment With Efficient Weak Annotation. 2685-2697 - Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng:
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis. 2698-2710 - Mickael Tardy, Diana Mateus:
Looking for Abnormalities in Mammograms With Self- and Weakly Supervised Reconstruction. 2711-2722 - Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. 2723-2735 - Tianyi Zhao, Zhaozheng Yin:
Weakly Supervised Cell Segmentation by Point Annotation. 2736-2747 - Li Ding, Ajay E. Kuriyan, Rajeev S. Ramchandran, Charles C. Wykoff, Gaurav Sharma:
Weakly-Supervised Vessel Detection in Ultra-Widefield Fundus Photography via Iterative Multi-Modal Registration and Learning. 2748-2758 - Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. 2759-2770 - Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation. 2771-2782 - Andrew Gilbert, Maciej Marciniak, Cristóbal Rodero, Pablo Lamata, Eigil Samset, Kristin McLeod:
Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation. 2783-2794 - Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang:
Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning. 2795-2807 - Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou:
Label-Free Segmentation of COVID-19 Lesions in Lung CT. 2808-2819 - Jianfei Liu, Christine Shen, Nancy Aguilera, Catherine Cukras, Robert B. Hufnagel, Wadih M. Zein, Tao Liu, Johnny Tam:
Active Cell Appearance Model Induced Generative Adversarial Networks for Annotation-Efficient Cell Segmentation and Identification on Adaptive Optics Retinal Images. 2820-2831 - Pengfei Guo, Puyang Wang, Rajeev Yasarla, Jinyuan Zhou, Vishal M. Patel, Shanshan Jiang:
Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs. 2832-2844 - Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. 2845-2856 - Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. 2857-2868 - Aryan Mobiny, Pengyu Yuan, Pietro Antonio Cicalese, Supratik Moulik, Naveen Garg, Carol C. Wu, Kelvin K. Wong, Stephen T. Wong, Tiancheng He, Hien Van Nguyen:
Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification. 2869-2879 - Fuyong Xing, Toby C. Cornish, Tellen D. Bennett, Debashis Ghosh:
Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images. 2880-2896 - Agnieszka Tomczak, Slobodan Ilic, Gaby Marquardt, Thomas Engel, Frank Forster, Nassir Navab, Shadi Albarqouni:
Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes. 2897-2910 - Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. 2911-2925 - Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. 2926-2938 - Sven Koehler, Tarique Hussain, Zach Blair, Tyler Huffaker, Florian Ritzmann, Animesh Tandon, Thomas Pickardt, Samir Sarikouch, Heiner Latus, Gerald Greil, Ivo Wolf, Sandy Engelhardt:
Unsupervised Domain Adaptation From Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks. 2939-2953
Volume 40, Number 11, November 2021
- Ge Wang, Mathews Jacob, Xuanqin Mou, Yongyi Shi, Yonina C. Eldar:
Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction". 2956-2964 - Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. 2965-2975 - Ji He, Shilin Chen, Hua Zhang, Xi Tao, Wuhong Lin, Shanli Zhang, Dong Zeng, Jianhua Ma:
Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning. 2976-2985 - Siqi Ye, Zhipeng Li, Michael T. McCann, Yong Long, Saiprasad Ravishankar:
Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. 2986-3001 - Weiwen Wu, Dianlin Hu, Chuang Niu, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction. 3002-3014 - Serin Yang, Eung-Yeop Kim, Jong Chul Ye:
Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN. 3015-3029 - Xi Tao, Yongbo Wang, Liyan Lin, Zixuan Hong, Jianhua Ma:
Learning to Reconstruct CT Images From the VVBP-Tensor. 3030-3041 - Yixing Huang, Alexander Preuhs, Michael Manhart, Guenter Lauritsch, Andreas Maier:
Data Extrapolation From Learned Prior Images for Truncation Correction in Computed Tomography. 3042-3053 - Shaohua Zhi, Marc Kachelrieß, Fei Pan, Xuanqin Mou:
CycN-Net: A Convolutional Neural Network Specialized for 4D CBCT Images Refinement. 3054-3064 - Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang:
CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels. 3065-3076 - John W. Hayes, Juan C. Montoya, Adam Budde, Chengzhu Zhang, Yinsheng Li, Ke Li, Jiang Hsieh, Guang-Hong Chen:
High Pitch Helical CT Reconstruction. 3077-3088 - Yikun Zhang, Dianlin Hu, Qianlong Zhao, Guotao Quan, Jin Liu, Qiegen Liu, Yi Zhang, Gouenou Coatrieux, Yang Chen, Hengyong Yu:
CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging. 3089-3101 - Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob:
Dynamic Imaging Using a Deep Generative SToRM (Gen-SToRM) Model. 3102-3112 - Anish Lahiri, Guanhua Wang, Saiprasad Ravishankar, Jeffrey A. Fessler:
Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction. 3113-3124 - Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye:
Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation. 3125-3139 - Jing Cheng, Zhuo-Xu Cui, Wenqi Huang, Ziwen Ke, Leslie Ying, Haifeng Wang, Yanjie Zhu, Dong Liang:
Learning Data Consistency and its Application to Dynamic MR Imaging. 3140-3153 - Bo Zhou, Yu-Jung Tsai, Xiongchao Chen, James S. Duncan, Chi Liu:
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET. 3154-3164 - Javad Fotouhi, Xingtong Liu, Mehran Armand, Nassir Navab, Mathias Unberath:
Reconstruction of Orthographic Mosaics From Perspective X-Ray Images. 3165-3177 - Xinyue Huang, Muyinatu A. Lediju Bell, Kai Ding:
Deep Learning for Ultrasound Beamforming in Flexible Array Transducer. 3178-3189 - Yinran Chen, Jing Liu, Xiongbiao Luo, Jianwen Luo:
ApodNet: Learning for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging. 3190-3204 - Xuejin Chen, Chi Zhang, Jie Zhao, Zhiwei Xiong, Zheng-Jun Zha, Feng Wu:
Weakly Supervised Neuron Reconstruction From Optical Microscopy Images With Morphological Priors. 3205-3216 - Peng Zhang, Guangda Fan, Tongtong Xing, Fan Song, Guanglei Zhang:
UHR-DeepFMT: Ultra-High Spatial Resolution Reconstruction of Fluorescence Molecular Tomography Based on 3-D Fusion Dual-Sampling Deep Neural Network. 3217-3228 - An-Cin Li, Sunil Vyas, Yu-Hsiang Lin, Yi-You Huang, Hsuan-Ming Huang, Yuan Luo:
Patch-Based U-Net Model for Isotropic Quantitative Differential Phase Contrast Imaging. 3229-3237 - Kanggeun Lee, Won-Ki Jeong:
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising. 3238-3248 - Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
On Hallucinations in Tomographic Image Reconstruction. 3249-3260
Volume 40, Number 12, December 2021
- Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu:
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. 3265-3278 - Alycen Wiacek, Karen C. Wang, Harold Wu, Muyinatu A. Lediju Bell:
Photoacoustic-Guided Laparoscopic and Open Hysterectomy Procedures Demonstrated With Human Cadavers. 3279-3292 - Luyao Shi, Yihuan Lu, Nicha C. Dvornek, Christopher A. Weyman, Edward J. Miller, Albert J. Sinusas, Chi Liu:
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning. 3293-3304 - Tianrui Luo, Douglas C. Noll, Jeffrey A. Fessler, Jon-Fredrik Nielsen:
Joint Design of RF and Gradient Waveforms via Auto-differentiation for 3D Tailored Excitation in MRI. 3305-3314 - Meilu Zhu, Zhen Chen, Yixuan Yuan:
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images. 3315-3325 - Junzhong Ji, Jinduo Liu, Lu Han, Feipeng Wang:
Estimating Effective Connectivity by Recurrent Generative Adversarial Networks. 3326-3336 - Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jérôme Yerly, Matthias Stuber, Michael Unser:
Time-Dependent Deep Image Prior for Dynamic MRI. 3337-3348 - Qutaiba Mustafa, Murad Omar, Ludwig Prade, Pouyan Mohajerani, Antonios Stylogiannis, Vasilis Ntziachristos, Christian Zakian:
In Vivo Three-Dimensional Raster Scan Optoacoustic Mesoscopy Using Frequency Domain Inversion. 3349-3357 - Adrien Bertolo, Jack Sauvage, Mickaël Tanter, Mathieu Pernot, Thomas Deffieux:
XDoppler: Cross-Correlation of Orthogonal Apertures for 3D Blood Flow Imaging. 3358-3368 - Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing:
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. 3369-3378 - Philippe Cormier, Jonathan Porée, Chloé Bourquin, Jean Provost:
Dynamic Myocardial Ultrasound Localization Angiography. 3379-3388 - Jiacheng Zhang, Sean Rothenberger, Melissa C. Brindise, Michael Scott, Haben Berhane, Justin J. Baraboo, Michael Markl, Vitaliy L. Rayz, Pavlos P. Vlachos:
Divergence-Free Constrained Phase Unwrapping and Denoising for 4D Flow MRI Using Weighted Least-Squares. 3389-3399 - Jian Cheng, Ziyang Liu, Hao Guan, Zhenzhou Wu, Haogang Zhu, Jiyang Jiang, Wei Wen, Dacheng Tao, Tao Liu:
Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss. 3400-3412 - Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. 3413-3423 - Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Perfusion Imaging: An Advection Diffusion Approach. 3424-3435 - Bruno Barufaldi, Craig K. Abbey, Miguel A. Lago, Trevor Lewis Vent, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment:
Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise. 3436-3445 - Ruhan Liu, Mengyao Liu, Bin Sheng, Huating Li, Ping Li, Haitao Song, Ping Zhang, Lixin Jiang, Dinggang Shen:
NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation. 3446-3458 - Wenjun Xia, Zexin Lu, Yongqiang Huang, Zuoqiang Shi, Yan Liu, Hu Chen, Yang Chen, Jiliu Zhou, Yi Zhang:
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction. 3459-3472 - Vasily L. Yarnykh:
Data-Driven Retrospective Correction of B1 Field Inhomogeneity in Fast Macromolecular Proton Fraction and R1 Mapping. 3473-3484 - Bao Yang, Xinhui Wang, Andi Li, Jonathan B. Moody, Jing Tang:
Dictionary Learning Constrained Direct Parametric Estimation in Dynamic Myocardial Perfusion PET. 3485-3497 - Zhongwen Cheng, Linghua Wu, Tengsen Qiu, Yihao Duan, Huan Qin, Jun Hu, Sihua Yang:
An Excitation-Reception Collinear Probe for Ultrasonic, Photoacoustic, and Thermoacoustic Tri-Modal Volumetric Imaging. 3498-3506 - Yi Liu, Shuiwang Ji:
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy. 3507-3518 - Huimin Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong:
Medical Image Segmentation With Deep Atlas Prior. 3519-3530 - Zhongliang Xue, Ping Li, Liang Zhang, Xiaoyuan Lu, Guangming Zhu, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun:
Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images. 3531-3542 - Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. 3543-3554 - Fuping Wu, Xiahai Zhuang:
Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation. 3555-3567 - Tobias Knopp, Mirco Grosser, Matthias Graeser, Timo Gerkmann, Martin Möddel:
Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging Using a Dictionary Approach. 3568-3579 - Jiarun Liu, Ruirui Li, Chuan Sun:
Co-Correcting: Noise-Tolerant Medical Image Classification via Mutual Label Correction. 3580-3592 - Lina Hacker, James Joseph, Aoife M. Ivory, Mohand O. Saed, Bajram Zeqiri, Rajagopalan Srinath, Sarah E. Bohndiek:
A Copolymer-in-Oil Tissue-Mimicking Material With Tuneable Acoustic and Optical Characteristics for Photoacoustic Imaging Phantoms. 3593-3603 - Zhiming Cui, Changjian Li, Zhixu Du, Nenglun Chen, Guodong Wei, Runnan Chen, Lei Yang, Dinggang Shen, Wenping Wang:
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation. 3604-3616 - Sooyeon Ji, Jinhee Jeong, Se-Hong Oh, Yoonho Nam, Seung Hong Choi, Hyeong-Geol Shin, Dongmyung Shin, Woojin Jung, Jongho Lee:
Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁- and T₂-Maps. 3617-3626 - Yankai Jiang, Shufeng Xu, Hongjie Fan, Jiahong Qian, Weizhi Luo, Shihui Zhen, Yubo Tao, Jihong Sun, Hai Lin:
ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal Tumor Segmentation. 3627-3640 - He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng:
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. 3641-3651 - Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study. 3652-3662 - Sutanu Bera, Prabir Kumar Biswas:
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising. 3663-3673 - Xu Ji, Mang Feng, Kevin Treb, Ran Zhang, Sebastian Schafer, Ke Li:
Development of an Integrated C-Arm Interventional Imaging System With a Strip Photon Counting Detector and a Flat Panel Detector. 3674-3685 - Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto:
LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging. 3686-3697 - Ziwen Ke, Wenqi Huang, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Learned Low-Rank Priors in Dynamic MR Imaging. 3698-3710 - Elena Maria Zannoni, Can Yang, Ling-Jian Meng:
Design Study of an Ultrahigh Resolution Brain SPECT System Using a Synthetic Compound-Eye Camera Design With Micro-Slit and Micro-Ring Apertures. 3711-3727 - Yang Dong, Jiachen Wan, Xingjian Wang, Jing-Hao Xue, Jibin Zou, Honghui He, Pengcheng Li, Anli Hou, Hui Ma:
A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions. 3728-3738 - Wei Shao, Tongxin Wang, Zhi Huang, Zhi Han, Jie Zhang, Kun Huang:
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images. 3739-3747 - Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbeláez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani:
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. 3748-3761 - Jingyuan Xu, Hongtao Xie, Chuanbin Liu, Fang Yang, Sicheng Zhang, Xun Chen, Yongdong Zhang:
Hip Landmark Detection With Dependency Mining in Ultrasound Image. 3762-3774 - Mohsen Farzi, Darryl McClymont, Hannah Whittington, Marie-Christine Zdora, Leah Khazin, Craig A. Lygate, Christoph Rau, Erica Dall' Armellina, Irvin Teh, Jürgen E. Schneider:
Assessing Myocardial Microstructure With Biophysical Models of Diffusion MRI. 3775-3786 - Joyce Chelangat Bore, Peiyang Li, Lin Jiang, Walid Mohammed Ahmed Ayedh, Chunli Chen, Dennis Joe Harmah, Dezhong Yao, Zehong Cao, Peng Xu:
A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. 3787-3800 - Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung:
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction. 3801-3811 - Vincent Hingot, Arthur Chavignon, Baptiste Heiles, Olivier Couture:
Measuring Image Resolution in Ultrasound Localization Microscopy. 3812-3819 - Dian Qin, Jiajun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jingjun Gu, Zhijua Wang, Lei Wu, Huifen Dai:
Efficient Medical Image Segmentation Based on Knowledge Distillation. 3820-3831 - Ronal Coronado, Gastão Cruz, Carlos Castillo-Passi, Cristian Tejos, Sergio Uribe, Claudia Prieto, Pablo Irarrazaval:
A Spatial Off-Resonance Correction in Spirals for Magnetic Resonance Fingerprinting. 3832-3842 - Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu:
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification. 3843-3855 - Jingyi Zhu, Chao Liu, Yan Liu, Jiangbo Chen, Yachao Zhang, Kuanming Yao, Lidai Wang:
Self-Fluence-Compensated Functional Photoacoustic Microscopy. 3856-3866 - Xiaoyang Chen, Chunfeng Lian, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN. 3867-3878 - Yudu Li, Yibo Zhao, Rong Guo, Tao Wang, Yi Zhang, Matthew Chrostek, Walter C. Low, Xiao-Hong Zhu, Zhi-Pei Liang, Wei Chen:
Machine Learning-Enabled High-Resolution Dynamic Deuterium MR Spectroscopic Imaging. 3879-3890 - Redouane Ternifi, Yinong Wang, Eric C. Polley, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad:
Quantitative Biomarkers for Cancer Detection Using Contrast-Free Ultrasound High-Definition Microvessel Imaging: Fractal Dimension, Murray's Deviation, Bifurcation Angle & Spatial Vascularity Pattern. 3891-3900 - Xiong Zhang, Zefang Han, Hong Shangguan, Xinglong Han, Xueying Cui, Anhong Wang:
Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising. 3901-3918 - Sourav Pramanik, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar:
LINPE-BL: A Local Descriptor and Broad Learning for Identification of Abnormal Breast Thermograms. 3919-3931 - Junghyun Lee, Jawook Gu, Jong Chul Ye:
Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN. 3932-3944 - Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin:
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation. 3945-3954 - Yuhui Ma, Jiang Liu, Yonghuai Liu, Huazhu Fu, Yan Hu, Jun Cheng, Hong Qi, Yufei Wu, Jiong Zhang, Yitian Zhao:
Structure and Illumination Constrained GAN for Medical Image Enhancement. 3955-3967 - Hein de Hoop, Niels J. Petterson, Frans N. van de Vosse, Marc R. H. M. van Sambeek, Hans-Martin Schwab, Richard G. P. Lopata:
Corrections to "Multiperspective Ultrasound Strain Imaging of the Abdominal Aorta". 3968 - Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu:
Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism". 3969
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