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ORCID26th MICCAI 2023: Vancouver, BC, Canada - Part III
- Hayit Greenspan, Anant Madabhushi
, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14222, Springer 2023, ISBN 978-3-031-43897-4
Machine Learning - Explainability, Bias, and Uncertainty II
- Jun Ma, Yuanzhi Zhu, Chenyu You, Bo Wang:
Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement. 3-13 - Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging. 14-24 - Weizhi Nie, Chen Zhang, Dan Song, Yunpeng Bai, Keliang Xie, An-An Liu:
Chest X-ray Image Classification: A Causal Perspective. 25-35 - Zhiwen Yang, Yang Zhou, Hui Zhang, Bingzheng Wei, Yubo Fan, Yan Xu:
DRMC: A Generalist Model with Dynamic Routing for Multi-center PET Image Synthesis. 36-46 - Shixuan Chen, Boxuan Cao, Yinda Du, Yaoduo Zhang, Ji He, Zhaoying Bian, Dong Zeng, Jianhua Ma:
Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning. 47-56 - Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher:
Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. 57-65 - Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. 66-76 - Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. 77-86 - Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. 87-96 - Ching-Hao Chiu, Hao-Wei Chung, Yu-Jen Chen, Yiyu Shi, Tsung-Yi Ho:
Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis. 97-107 - Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. 108-117 - Zhipeng Deng, Luyang Luo, Hao Chen:
Scale Federated Learning for Label Set Mismatch in Medical Image Classification. 118-127 - Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan:
Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification. 128-137 - Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. 138-148 - Mayank Gupta, Soumen Basu, Chetan Arora:
How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging? 149-158 - Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu:
Co-assistant Networks for Label Correction. 159-168 - John Kalkhof, Anirban Mukhopadhyay:
M3D-NCA: Robust 3D Segmentation with Built-In Quality Control. 169-178 - Charles Jones, Mélanie Roschewitz, Ben Glocker:
The Role of Subgroup Separability in Group-Fair Medical Image Classification. 179-188 - Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel:
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. 189-198 - Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz:
SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models. 199-209 - Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gómez, Agisilaos Chartsias, Pierre-Marc Jodoin:
Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. 210-220 - Yuhao Huang, Xin Yang, Xiaoqiong Huang, Xinrui Zhou, Haozhe Chi, Haoran Dou, Xindi Hu, Jian Wang, Xuedong Deng, Dong Ni:
Fourier Test-Time Adaptation with Multi-level Consistency for Robust Classification. 221-231 - Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng:
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. 232-241 - Hyeongyu Kim, Yejee Shin, Dosik Hwang:
DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation. 242-251 - Thijs P. Kuipers, Erik J. Bekkers:
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis. 252-261 - Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier:
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. 262-272 - Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante:
Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation. 273-283 - Zhihao Zhao, Junjie Yang, Shahrooz Faghihroohi, Kai Huang, Mathias Maier, Nassir Navab, M. Ali Nasseri:
Label-Preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition. 284-294 - Tudor Dascalu, Bulat Ibragimov:
Assignment Theory-Augmented Neural Network for Dental Arch Labeling. 295-304 - Wei Fu, Yufei Chen, Wei Liu, Xiaodong Yue, Chao Ma:
Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images. 305-315 - Jonathan Lennartz, Thomas Schultz:
Segmentation Distortion: Quantifying Segmentation Uncertainty Under Domain Shift via the Effects of Anomalous Activations. 316-325 - Jameson Merkow, Arjun Soin, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Christopher P. Bridge, Xiyu Yang, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren:
CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI. 326-336 - Hyun-Jic Oh, Won-Ki Jeong:
DiffMix: Diffusion Model-Based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. 337-345 - Jadie Adams, Shireen Y. Elhabian:
Fully Bayesian VIB-DeepSSM. 346-356 - Adrian Galdran:
Performance Metrics for Probabilistic Ordinal Classifiers. 357-366 - Neerav Karani, Neel Dey, Polina Golland:
Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks. 367-377 - Kyungsu Lee, Haeyun Lee, Thiago Coutinho Cavalcanti, Sewoong Kim, Georges El Fakhri, Dong Hun Lee, Jonghye Woo, Jae Youn Hwang:
Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis. 378-388 - Patrick Godau, Piotr Kalinowski, Evangelia Christodoulou, Annika Reinke, Minu Tizabi, Luciana Ferrer, Paul F. Jäger, Lena Maier-Hein:
Deployment of Image Analysis Algorithms Under Prevalence Shifts. 389-399 - Till J. Bungert, Levin Kobelke, Paul F. Jäger:
Understanding Silent Failures in Medical Image Classification. 400-410 - Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. 411-421 - Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. 422-431 - Sarah M. Muller, Sundaresh Ram, Katie J. Bayfield, Julia H. Reuter, Sonja Gestewitz, Lifeng Yu, Mark Oliver Wielpütz, Hans-Ulrich Kauczor, Claus Peter Heussel, Terry E. Robinson, Brian J. Bartholmai, Charles R. Hatt, Paul D. Robinson, Craig J. Galbán, Oliver Weinheimer:
Deep Learning-Based Air Trapping Quantification Using Paired Inspiratory-Expiratory Ultra-low Dose CT. 432-441 - Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath:
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. 442-452 - Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobak Heydari, Orlando Simonetti, Rohan Dharmakumar, Subha Raman, Behzad Sharif:
Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets. 453-462
Image Segmentation I
- Xukun Zhang, Yang Liu, Sharib Ali, Xiao Zhao, Mingyang Sun, Minghao Han, Tao Liu, Peng Zhai, Zhiming Cui, Peixuan Zhang, Xiaoying Wang, Lihua Zhang:
Anatomical-Aware Point-Voxel Network for Couinaud Segmentation in Liver CT. 465-474 - Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko:
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. 475-485 - Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan L. Yuille, Cihang Xie, Yuyin Zhou:
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. 486-496 - Junhao Lin, Qian Dai, Lei Zhu, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, Liansheng Wang:
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. 497-507 - Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia:
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner. 508-518 - Kit Mills Bransby, Gregory G. Slabaugh, Christos Bourantas, Qianni Zhang:
Joint Dense-Point Representation for Contour-Aware Graph Segmentation. 519-528 - Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister:
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. 529-539 - Yushan Xie, Yuejia Yin, Qingli Li, Yan Wang:
Deep Mutual Distillation for Semi-supervised Medical Image Segmentation. 540-550 - Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen:
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. 551-560 - Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan:
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. 561-571 - Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz:
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. 572-581 - Haonan Wang, Xiaomeng Li:
DHC: Dual-Debiased Heterogeneous Co-training Framework for Class-Imbalanced Semi-supervised Medical Image Segmentation. 582-591 - Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu:
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. 592-602 - Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia:
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. 603-613 - Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks. 614-624 - Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu:
Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory. 625-636 - Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek:
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images. 637-647 - Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
MultiTalent: A Multi-dataset Approach to Medical Image Segmentation. 648-658 - Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, Yang Song, Erik Meijering:
Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images. 659-669 - Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen:
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. 670-680 - Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du:
Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation. 681-691 - Nabil Ibtehaz, Daisuke Kihara:
ACC-UNet: A Completely Convolutional UNet Model for the 2020s. 692-702 - SaeHyun Kim, In-Seok Song, Seung Jun Baek:
Automatic Segmentation of Internal Tooth Structure from CBCT Images Using Hierarchical Deep Learning. 703-713 - Álvaro González-Jiménez, Simone Lionetti, Philippe Gottfrois, Fabian Gröger, Marc Pouly, Alexander A. Navarini:
Robust T-Loss for Medical Image Segmentation. 714-724 - Fu Wang, Zeyu Fu, Yanghao Zhang, Wenjie Ruan:
Self-adaptive Adversarial Training for Robust Medical Segmentation. 725-735 - Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. 736-746 - Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu:
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. 747-756 - Jun Wei, Yiwen Hu, Shuguang Cui, S. Kevin Zhou, Zhen Li:
WeakPolyp: You only Look Bounding Box for Polyp Segmentation. 757-766
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