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ORCIDMTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: Vancouver, BC, Canada
- Jonghye Woo, Alessa Hering, Wilson Silva
, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8
Proceedings of the First MICCAI Workshop on Time-Series Data Analytics and Learning (MTSAIL 2023)
- Di Xu, Hengjie Liu, Dan Ruan, Ke Sheng:
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer. 3-13 - Mingyang Xia, Yonggang Shi:
A Groupwise Method for the Reconstruction of Hypergraph Representation of Resting-State Functional Networks. 14-23 - Zhangxing Bian, Shuwen Wei, Yihao Liu, Junyu Chen, Jiachen Zhuo, Fangxu Xing, Jonghye Woo, Aaron Carass, Jerry L. Prince:
MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction. 24-34 - Chujie Chang, Shoko Miyauchi, Ken'ichi Morooka, Ryo Kurazume, Óscar Martínez Mozos:
FusionNet: A Frame Interpolation Network for 4D Heart Models. 35-44 - Ko Taniguchi, Takahiro Noguchi, Satoshi Iizuka, Hiroyasu Ando, Takashi Abe, Kazuhiro Fukui:
A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation. 45-55
Proceedings of the First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-up (LEAF 2023)
- Halid Ziya Yerebakan, Yoshihisa Shinagawa, Mahesh Ranganath, Simon Allen-Raffl, Gerardo Hermosillo Valadez:
A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies. 59-68 - Zheyu Wen, Ali Ghafouri, George Biros:
A Two-Species Model for Abnormal Tau Dynamics in Alzheimer's Disease. 69-79 - Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jorge Sepulcre, Xiaofeng Liu, Fangxu Xing, Jae Youn Hwang, Jonghye Woo:
Outlier Robust Disease Classification via Stochastic Confidence Network. 80-90 - Sven Kuckertz, Stefan Heldmann, Jan Hendrik Moltz:
Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations. 91-99
Proceedings of the AI for Treatment Response Assessment and predicTion Workshop (AI4Treat 2023)
- Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus:
Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images. 103-112 - Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heussel, Tobias Norajitra:
RPTK: The Role of Feature Computation on Prediction Performance. 113-122
Proceedings of the Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023)
- Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. 125-134 - Delin Chen, Yansheng Qiu, Zheng Wang:
Query Re-Training for Modality-Gnostic Incomplete Multi-modal Brain Tumor Segmentation. 135-146 - Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert:
MAD: Modality Agnostic Distance Measure for Image Registration. 147-156 - Tomé Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria João M. Vasconcelos, Jaime S. Cardoso, Peter J. Schüffler:
Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI. 157-167 - Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas:
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. 168-181 - Negar Golestani, Aihui Wang, Gregory R. Bean, Mirabela Rusu:
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images. 182-192 - Najla Al Turkestani, Lingrui Cai, Lucia H. S. Cevidanes, Jonas Bianchi, Winston Zhang, Marcela Gurgel, Maxime Gillot, Baptiste Baquero, Reza Soroushmehr:
Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information. 193-204 - Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. 205-213 - Lindsay Munroe, Maria Deprez, Christos Michaelides, Harold G. Parkes, Kalotina Geraki, Amy H. Herlihy, Po-Wah So:
Synthesising Brain Iron Maps from Quantitative Magnetic Resonance Images Using Interpretable Generative Adversarial Networks. 214-226 - Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen:
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. 227-240 - Qi Zhu, Sen Li, Zhantao Li, Xianjun Min, Qian Li:
Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification. 241-252 - Mohammadreza Eskandari, Houssem-Eddine Gueziri, D. Louis Collins:
Hessian-Based Similarity Metric for Multimodal Medical Image Registration. 253-264 - Minhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu:
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. 265-275 - Yan Miao, Lequan Yu:
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction. 276-285 - Ziyi He, Tony C. W. Mok, Albert C. S. Chung:
Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase. 286-298 - Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu:
Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification. 299-310 - Ramtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson:
Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers. 311-321
Proceeding of the Second International Workshop on Resource-Efficient Medical Image Analysis (REMIA 2023)
- Raghavendra Selvan, Julian Schön, Erik B. Dam:
Operating Critical Machine Learning Models in Resource Constrained Regimes. 325-335 - Fabian S. L. Yii, Thomas J. MacGillivray, Miguel O. Bernabeu:
Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation. 336-346 - Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat:
Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. 347-356 - Zheng Yu, Yutong Xie, Yong Xia, Qi Wu:
PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. 357-367 - Guoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu:
SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image. 368-377
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