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Medical Image Analysis, Volume 71
Volume 71, July 2021
- Zongwei Zhou
, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. 101997 - Yuhang Liu
Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net. 101999 - Mansu Kim
A structural enriched functional network: An application to predict brain cognitive performance. 102026 - Evan Hann, Iulia A. Popescu
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping. 102029 - Hai Xie, Xianlu Zeng, Haijun Lei, Jie Du, Jiantao Wang, Guoming Zhang
Cross-attention multi-branch network for fundus diseases classification using SLO images. 102031 - Josefine Vilsbøll Sundgaard
Deep metric learning for otitis media classification. 102034 - Jun Ma
Loss odyssey in medical image segmentation. 102035 - Boah Kim
CycleMorph: Cycle consistent unsupervised deformable image registration. 102036 - Yan Xia
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. 102037 - Charley Gros
SoftSeg: Advantages of soft versus binary training for image segmentation. 102038 - Kelei He, Chunfeng Lian
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. 102039 - Sheng Lian
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement. 102040 - Bo Zhou
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. 102041 - Libao Guo, Baiying Lei
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. 102042 - Faraz Janan, Michael Brady
RICE: A method for quantitative mammographic image enhancement. 102043 - Gabriel Bernardino
Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment. 102044 - Paddy J. Slator
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. 102045 - Alberto Signoroni
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. 102046 - Hyungjin Chung, Eunju Cha
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. 102047 - Mengyang Zhao
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. 102048 - Jun Bai, Russell Posner, Tianyu Wang
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review. 102049 - Weikang Gong, Christian F. Beckmann, Stephen M. Smith
Phenotype discovery from population brain imaging. 102050 - Qingyu Zhao
Longitudinal self-supervised learning. 102051 - Xinyu Liu
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images. 102052 - Maria Grammatikopoulou, Evangello Flouty, Abdolrahim Kadkhodamohammadi, Gwenolé Quellec
CaDIS: Cataract dataset for surgical RGB-image segmentation. 102053 - Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. 102054 - Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger
Meta grayscale adaptive network for 3D integrated renal structures segmentation. 102055 - Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu
Brain functional connectivity analysis based on multi-graph fusion. 102057 - Kutsev Bengisu Ozyoruk
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos. 102058 - Mustafa Burak Gurbuz, Islem Rekik
MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations. 102059 - Xu Chen
Diverse data augmentation for learning image segmentation with cross-modality annotations. 102060 - Jonas Teuwen, Nikita Moriakov
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. 102061 - Samuel Budd, Emma C. Robinson
A survey on active learning and human-in-the-loop deep learning for medical image analysis. 102062 - Mingliang Wang, Jiashuang Huang, Mingxia Liu
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. 102063 - Johanna Stimm
A 3D personalized cardiac myocyte aggregate orientation model using MRI data-driven low-rank basis functions. 102064 - Byeongjoon Kim
Weakly-supervised progressive denoising with unpaired CT images. 102065 - Stefano Buoso
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks. 102066 - Oliver Maier
Non-linear fitting with joint spatial regularization in arterial spin labeling. 102067 - Hao Guan
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. 102076 - Chenhao Pei
Disentangle domain features for cross-modality cardiac image segmentation. 102078 - Kerstin Kläser
Imitation learning for improved 3D PET/MR attenuation correction. 102079 - Karli Gillette
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. 102080 - Yutong Yan
Towards improved breast mass detection using dual-view mammogram matching. 102083 - Megi Isallari, Islem Rekik
Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity. 102084 - Yu Qin, Yuxing Li, Zhizheng Zhuo, Zhiwen Liu, Yaou Liu, Chuyang Ye
Multimodal super-resolved q-space deep learning. 102085 - Zixia Zhou, Yi Guo, Yuanyuan Wang:
Ultrasound deep beamforming using a multiconstrained hybrid generative adversarial network. 102086
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