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ORCID26th MICCAI 2023: Vancouver, BC, Canada - Part I
- 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 I. Lecture Notes in Computer Science 14220, Springer 2023, ISBN 978-3-031-43906-3
Machine Learning with Limited Supervision
- Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen:
PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model. 3-12 - Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu:
MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. 13-23 - Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou:
UOD: Universal One-Shot Detection of Anatomical Landmarks. 24-34 - An Wang, Mengya Xu, Yang Zhang, Mobarakol Islam, Hongliang Ren:
S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation. 35-45 - Qianqian Wang, Mengqi Wu, Yuqi Fang, Wei Wang, Lishan Qiao, Ming-Xia Liu:
Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI. 46-56 - Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert:
Anatomy-Driven Pathology Detection on Chest X-rays. 57-66 - Paula Feldman, Miguel Fainstein, Viviana Siless, Claudio Delrieux, Emmanuel Iarussi:
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis. 67-76 - Wangduo Xie, Matthew B. Blaschko:
Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction. 77-86 - Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. 87-97 - Shengbo Gao, Ziji Zhang, Jiechao Ma, Zihao Li, Shu Zhang:
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation. 98-108 - Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia:
TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. 109-118 - Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Jingtong Hu, Yiyu Shi:
Additional Positive Enables Better Representation Learning for Medical Images. 119-129 - Yingjie Feng, Wei Chen, Xianfeng Gu, Xiaoyin Xu, Min Zhang:
Multi-modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification. 130-140 - Alina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert:
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. 141-151 - Hamideh Kerdegari, Tran Huy Nhat Phung, Nguyen Van Hao, Thi Phuong Thao Truong, Ngoc Minh Thu Le, Thanh Phuong Le, Thi Mai Thao Le, Luigi Pisani, Linda Denehy, Reza Razavi, Louise Thwaites, Sophie Yacoub, Andrew P. King, Alberto Gómez:
Automatic Retrieval of Corresponding US Views in Longitudinal Examinations. 152-161 - Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz:
Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. 162-172 - Yu-Jen Chen, Xinrong Hu, Yiyu Shi, Tsung-Yi Ho:
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor. 173-182 - Thanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao, Jianfei Cai, Dinh Q. Phung:
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation. 183-194 - Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. 195-205 - Soumen Basu, Ashish Papanai, Mayank Gupta, Pankaj Gupta, Chetan Arora:
Gall Bladder Cancer Detection from US Images with only Image Level Labels. 206-215 - Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos. 216-226 - Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification. 227-237 - Jie Jing, Tao Wang, Hui Yu, Zexin Lu, Yi Zhang:
Inter-slice Consistency for Unpaired Low-Dose CT Denoising Using Boosted Contrastive Learning. 238-247 - Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra:
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. 248-258 - Zhimiao Yu, Tiancheng Lin, Yi Xu:
SLPD: Slide-Level Prototypical Distillation for WSIs. 259-269 - Chenyu Shen, Ziyuan Yang, Yi Zhang:
PET Image Denoising with Score-Based Diffusion Probabilistic Models. 270-278 - Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. 279-289 - Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler:
Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. 290-299 - Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Geometry-Invariant Abnormality Detection. 300-309 - Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. 310-319 - Nurislam Tursynbek, Marc Niethammer:
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. 320-330 - Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman:
Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. 331-341 - Mingyuan Luo, Xin Yang, Zhongnuo Yan, Junyu Li, Yuanji Zhang, Jiongquan Chen, Xindi Hu, Jikuan Qian, Jun Cheng, Dong Ni:
Multi-IMU with Online Self-consistency for Freehand 3D Ultrasound Reconstruction. 342-351 - Qingbo Kang, Jun Gao, Kang Li, Qicheng Lao:
Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition. 352-362 - Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. 363-373 - Pengfei Li, Gang Liu, Jinlong He, Zixu Zhao, Shenjun Zhong:
Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering. 374-383 - Jiangcong Liu, Le Xu, Yun Guan, Hao Ma, Lixia Tian:
CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions. 384-393 - Kimihiro Yamazaki, Yuichiro Wada, Atsushi Tokuhisa, Mutsuyo Wada, Takashi Katoh, Yuhei Umeda, Yasushi Okuno, Akira Nakagawa:
An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway. 394-404 - Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang:
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training. 405-415 - Tianyang Zhong, Xiaozheng Wei, Enze Shi, Jiaxing Gao, Chong Ma, Yaonai Wei, Songyao Zhang, Lei Guo, Junwei Han, Tianming Liu, Tuo Zhang:
A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding. 416-424 - Ana Lawry Aguila, James Chapman, André Altmann:
Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities. 425-434 - Yordanka Velikova, Mohammad Farid Azampour, Walter Simson, Vanessa Gonzalez Duque, Nassir Navab:
LOTUS: Learning to Optimize Task-Based US Representations. 435-445 - Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. 446-456 - Jaejin Cho, Yohan Jun, Xiaoqing Wang, Caique Kobayashi, Berkin Bilgic:
Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction. 457-466 - Ali Kafaei Zad Tehrani, Hassan Rivaz:
Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography. 467-476 - Heming Yao, Adam Pely, Zhichao Wu, Simon S. Gao, Robyn H. Guymer, Hao Chen, Mohsen Hejrati, Miao Zhang:
Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration. 477-485 - Jadie Adams, Shireen Y. Elhabian:
Can Point Cloud Networks Learn Statistical Shape Models of Anatomies? 486-496 - Jiale Wang, Alexander F. Heimann, Moritz Tannast, Guoyan Zheng:
CT-Guided, Unsupervised Super-Resolution Reconstruction of Single 3D Magnetic Resonance Image. 497-507 - Hong Xu, Shireen Y. Elhabian:
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions. 508-517 - Tianbao Liu, Zefeiyun Chen, Qingyuan Li, Yusi Wang, Ke Zhou, Weijie Xie, Yuxin Fang, Kaiyi Zheng, Zhanpeng Zhao, Side Liu, Wei Yang:
MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images. 518-527 - Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park:
PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. 528-538 - Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jonghye Woo, Jae Youn Hwang:
Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning. 539-550 - Faquan Chen, Jingjing Fei, Yaqi Chen, Chenxi Huang:
Decoupled Consistency for Semi-supervised Medical Image Segmentation. 551-561 - Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu:
Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning. 562-572 - Anamaria Vizitiu, Antonia T. Mohaiu, Ioan M. Popdan, Abishek Balachandran, Florin C. Ghesu, Dorin Comaniciu:
Multi-scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision. 573-582 - Oscar León Barbed, José M. M. Montiel, Pascal Fua, Ana C. Murillo:
Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy. 583-593 - Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis:
Structured State Space Models for Multiple Instance Learning in Digital Pathology. 594-604 - Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev:
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images. 605-614 - Krithika Iyer, Shireen Y. Elhabian:
Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy. 615-625 - Hye Won Park, Seo Yeong Kim, Won Hee Lee:
Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification. 626-636 - Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci:
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. 637-647
Machine Learning - Transfer Learning
- Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. 651-662 - Xinkai Zhao, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori:
Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images. 663-673 - Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu:
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. 674-683 - Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li:
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher. 684-694 - Haibo Jin, Haoxuan Che, Hao Chen:
Unsupervised Domain Adaptation for Anatomical Landmark Detection. 695-705 - Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou:
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. 706-716 - Yili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen:
Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. 717-727 - Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. 728-738 - Jay N. Paranjape, Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula:
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos. 739-748 - Xingguang Wang, Zhongyu Li, Xiangde Luo, Jing Wan, Jianwei Zhu, Ziqi Yang, Meng Yang, Cunbao Xu:
Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation. 749-758 - Kun Han, Yifeng Xiong, Chenyu You, Pooya Khosravi, Shanlin Sun, Xiangyi Yan, James S. Duncan, Xiaohui Xie:
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation. 759-769 - Kris K. Dreher, Leonardo Ayala, Melanie Schellenberg, Marco Hübner, Jan-Hinrich Nölke, Tim J. Adler, Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Janek Gröhl, Felix Nickel, Ullrich Köthe, Alexander Seitel, Lena Maier-Hein:
Unsupervised Domain Transfer with Conditional Invertible Neural Networks. 770-780
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