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MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: Vancouver, BC, Canada
- Jonghye Woo, Alessa Hering, Wilson Silva
, Xiang Li
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
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
Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images. 103-112 - Jonas R. Bohn
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
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
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. 168-181 - Negar Golestani
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
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
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
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
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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