MICCAI (1)

Keyphrases

Publications

2023

Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu
MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. MICCAI (1) (2023)
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. MICCAI (1) (2023)
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. MICCAI (1) (2023)
Jiale Wang, Alexander F. Heimann, Moritz Tannast, Guoyan Zheng
CT-Guided, Unsupervised Super-Resolution Reconstruction of Single 3D Magnetic Resonance Image. MICCAI (1) (2023)
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. MICCAI (1) (2023)
Ana Lawry Aguila, James Chapman, André Altmann
Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities. MICCAI (1) (2023)
Haibo Jin, Haoxuan Che, Hao Chen
Unsupervised Domain Adaptation for Anatomical Landmark Detection. MICCAI (1) (2023)
Oscar León Barbed, José M. M. Montiel, Pascal Fua, Ana C. Murillo
Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy. MICCAI (1) (2023)
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. MICCAI (1) (2023)
Jadie Adams, Shireen Y. Elhabian
Can Point Cloud Networks Learn Statistical Shape Models of Anatomies? MICCAI (1) (2023)
Nurislam Tursynbek, Marc Niethammer
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. MICCAI (1) (2023)
Jiangcong Liu, Le Xu, Yun Guan, Hao Ma, Lixia Tian
CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions. MICCAI (1) (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. MICCAI (1) (2023)
Jie Jing, Tao Wang, Hui Yu, Zexin Lu, Yi Zhang
Inter-slice Consistency for Unpaired Low-Dose CT Denoising Using Boosted Contrastive Learning. MICCAI (1) (2023)
Hong Xu, Shireen Y. Elhabian
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions. MICCAI (1) (2023)
Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia
TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. MICCAI (1) (2023)
Zhimiao Yu, Tiancheng Lin, Yi Xu
SLPD: Slide-Level Prototypical Distillation for WSIs. MICCAI (1) (2023)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) (2023)
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. MICCAI (1) (2023)
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. MICCAI (1) (2023)
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. MICCAI (1) (2023)
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. MICCAI (1) (2023)
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. MICCAI (1) (2023)
Xinkai Zhao, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori
Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images. MICCAI (1) (2023)
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. MICCAI (1) (2023)
Shengbo Gao, Ziji Zhang, Jiechao Ma, Zihao Li, Shu Zhang
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation. MICCAI (1) (2023)
Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu
Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning. MICCAI (1) (2023)
Jaejin Cho, Yohan Jun, Xiaoqing Wang, Caique Kobayashi, Berkin Bilgic
Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction. MICCAI (1) (2023)
An Wang, Mengya Xu, Yang Zhang, Mobarakol Islam, Hongliang Ren
ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation. MICCAI (1) (2023)
Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou
UOD: Universal One-Shot Detection of Anatomical Landmarks. MICCAI (1) (2023)
Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
Structured State Space Models for Multiple Instance Learning in Digital Pathology. MICCAI (1) (2023)
Yingjie Feng, Wei Chen, Xianfeng Gu, Xiaoyin Xu, Min Zhang
Multi-modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification. MICCAI (1) (2023)
Chenyu Shen, Ziyuan Yang, Yi Zhang
PET Image Denoising with Score-Based Diffusion Probabilistic Models. MICCAI (1) (2023)
Paula Feldman, Miguel Fainstein, Viviana Siless, Claudio Delrieux, Emmanuel Iarussi
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis. MICCAI (1) (2023)
Soumen Basu, Ashish Papanai, Mayank Gupta, Pankaj Gupta, Chetan Arora
Gall Bladder Cancer Detection from US Images with only Image Level Labels. MICCAI (1) (2023)
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. MICCAI (1) (2023)
Yili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen
Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. MICCAI (1) (2023)
Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher. MICCAI (1) (2023)
Jay N. Paranjape, Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos. MICCAI (1) (2023)
Wangduo Xie, Matthew B. Blaschko
Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction. MICCAI (1) (2023)
Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. MICCAI (1) (2023)
Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. MICCAI (1) (2023)
Hye Won Park, Seo Yeong Kim, Won Hee Lee
Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification. MICCAI (1) (2023)
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. MICCAI (1) (2023)
Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
Anatomy-Driven Pathology Detection on Chest X-rays. MICCAI (1) (2023)
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. MICCAI (1) (2023)
Yordanka Velikova, Mohammad Farid Azampour, Walter Simson, Vanessa Gonzalez Duque, Nassir Navab
LOTUS: Learning to Optimize Task-Based US Representations. MICCAI (1) (2023)
Yu-Jen Chen, Xinrong Hu, Yiyu Shi, Tsung-Yi Ho
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor. MICCAI (1) (2023)
Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Jingtong Hu, Yiyu Shi
Additional Positive Enables Better Representation Learning for Medical Images. MICCAI (1) (2023)

volume 14220, 2023

Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I MICCAI (1) 14220 (2023)