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26th MICCAI 2023: Vancouver, BC, Canada - Part IV
- Hayit Greenspan, Anant Madabhushi
, Parvin Mousavi, Septimiu E. Salcudean
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14223, Springer 2023, ISBN 978-3-031-43900-1
Image Segmentation II
- Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. 3-13 - Shishuai Hu, Zehui Liao, Yong Xia:
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. 14-23 - Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Transformer-Based Annotation Bias-Aware Medical Image Segmentation. 24-34 - Kai Ren, Ke Zou, Xianjie Liu, Yidi Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu
Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation. 35-45 - Ziquan Wei
A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. 46-55 - Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen:
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. 56-66 - Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
Robust Segmentation via Topology Violation Detection and Feature Synthesis. 67-77 - Ziyang Zheng, Jiewen Yang
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation. 78-88 - Ziyang Chen
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation. 89-99 - Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan:
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI. 100-109 - Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. 110-119 - Xiangyu Zhao, Zhenrong Shen, Dongdong Chen, Sheng Wang, Zixu Zhuang, Qian Wang, Lichi Zhang:
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification. 120-129 - Yuan Bi, Zhongliang Jiang, Ricarda Clarenbach, Reza Ghotbi, Angelos Karlas, Nassir Navab:
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization. 130-140 - Malo de Boisredon, Eugene Vorontsov, Samuel Kadoury:
M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision. 141-151 - Boxiang Yun, Qingli Li, Lubov B. Mitrofanova, Chunhua Zhou, Yan Wang:
Factor Space and Spectrum for Medical Hyperspectral Image Segmentation. 152-162 - Tao Chen, Yitian Zhao, Lei Mou, Dan Zhang, Xiayu Xu, Mengting Liu, Huazhu Fu
RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization. 163-172 - Peijie Qiu
QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. 173-182 - Qingyue Wei, Lequan Yu
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. 183-193 - Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan:
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. 194-205 - Zhenqi He
TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. 206-215 - Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. 216-226 - Masoud Mokhtari
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms. 227-237 - Dan Yin, Wei Huang, Zhiwei Xiong, Xuejin Chen:
Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation. 238-248 - Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Andrea G. Rockall
A Sheaf Theoretic Perspective for Robust Prostate Segmentation. 249-259 - Hritam Basak
Semi-supervised Domain Adaptive Medical Image Segmentation Through Consistency Regularized Disentangled Contrastive Learning. 260-270 - Yazhou Zhu, Shidong Wang, Tong Xin, Haofeng Zhang:
Few-Shot Medical Image Segmentation via a Region-Enhanced Prototypical Transformer. 271-280 - Qixiang Zhang, Yi Li, Cheng Xue, Xiaomeng Li:
Morphology-Inspired Unsupervised Gland Segmentation via Selective Semantic Grouping. 281-291 - Fan Sun, Zhiming Luo, Shaozi Li:
Boundary Difference over Union Loss for Medical Image Segmentation. 292-301 - Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. 302-311 - Qiang Ma, Liu Li, Vanessa Kyriakopoulou
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. 312-322 - Yinglin Zhang
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-Aware Network. 323-332 - Dong She, Yueyi Zhang, Zheyu Zhang
EoFormer: Edge-Oriented Transformer for Brain Tumor Segmentation. 333-343 - Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang:
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. 344-353 - Zhiwei Deng, Songnan Xu, Jianwei Zhang, Jiong Zhang, Danny J. J. Wang
Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention. 354-363 - Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. 364-373 - Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao:
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. 374-384 - Junyan Lyu, Pengxiao Xu, Fatima A. Nasrallah
Learning Ontology-Based Hierarchical Structural Relationship for Whole Brain Segmentation. 385-394 - Bolun Zeng
Fine-Grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-Constraint Loss. 395-404 - Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. 405-415 - Yufan He, Vishwesh Nath, Dong Yang, Yucheng Tang, Andriy Myronenko, Daguang Xu:
SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. 416-426 - Jiacheng Wang, Jing Yang, Qichao Zhou, Liansheng Wang:
Medical Boundary Diffusion Model for Skin Lesion Segmentation. 427-436 - Lian Liu, Han Zhou, Jiongquan Chen, Sijing Liu, Wenlong Shi, Dong Ni, Deng-Ping Fan, Xin Yang:
Instructive Feature Enhancement for Dichotomous Medical Image Segmentation. 437-447 - Siyi Du
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets. 448-458 - Yuchen Yuan, Xi Wang
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation. 459-469 - Xueyang Wu, Tao Zhong, Shujun Liang, Li Wang
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. 470-480 - Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu:
EGE-UNet: An Efficient Group Enhanced UNet for Skin Lesion Segmentation. 481-490 - Tao Chen, Chenhui Wang
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation. 491-501 - Xinyi Zeng, Pinxian Zeng, Cheng Tang, Peng Wang, Binyu Yan, Yan Wang:
DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation. 502-512 - Sutanu Bera, Vinay Ummadi, Debashis Sen, Subhamoy Mandal, Prabir Kumar Biswas:
Memory Replay for Continual Medical Image Segmentation Through Atypical Sample Selection. 513-522 - Rui Sun
Structure-Decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation. 523-533 - Wenhui Zhang
Deep Probability Contour Framework for Tumour Segmentation and Dose Painting in PET Images. 534-543 - Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf:
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models. 544-554 - Hyuna Cho, Yubin Han, Won Hwa Kim:
Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. 555-566 - Yuming Zhong, Yi Wang:
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI. 567-577 - Yuhui Song, Xiuquan Du, Yanping Zhang, Chenchu Xu:
Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation. 578-588 - José Morano
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation. 589-599 - Ming Kang
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. 600-610 - Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Certification of Deep Learning Models for Medical Image Segmentation. 611-621 - G. Jignesh Chowdary, Zhaozheng Yin
Diffusion Transformer U-Net for Medical Image Segmentation. 622-631 - Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. 632-641 - Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu:
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. 642-651 - Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang:
Edge-Aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI. 652-661 - Wenjing Lu, Jiahao Lei, Peng Qiu, Rui Sheng, Jinhua Zhou, Xinwu Lu, Yang Yang:
UPCoL: Uncertainty-Informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. 662-672 - Zirui Wang, Yi Hong:
A2FSeg: Adaptive Multi-modal Fusion Network for Medical Image Segmentation. 673-681 - Jianfeng Zhao, Shuo Li
Learning Reliability of Multi-modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models. 682-691 - Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue:
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. 692-702 - Luisa Neubig
Evolutionary Normalization Optimization Boosts Semantic Segmentation Network Performance. 703-712 - Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang:
DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. 713-723 - Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu:
Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images. 724-733 - Nil Stolt Ansó
NISF: Neural Implicit Segmentation Functions. 734-744 - Gasper Podobnik
Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk. 745-755 - Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho, Yiyu Shi:
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation. 756-765 - Ahmed H. Shahin, Yan Zhuang, Noha El-Zehiry:
From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation. 766-775 - Santiago Gómez
Ischemic Stroke Segmentation from a Cross-Domain Representation in Multimodal Diffusion Studies. 776-785 - Zhenyu Tang, Zhenyu Zhang, Huabing Liu
Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping. 786-795
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