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ORCID15th MLMI@MICCAI 2024: Marrakesh, Morocco - Part II
- Xuanang Xu
, Zhiming Cui, Islem Rekik, Xi Ouyang, Kaicong Sun:
Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15242, Springer 2025, ISBN 978-3-031-73292-8 - Yuhao Huang, Xin Yang, Han Zhou, Yan Cao, Haoran Dou, Fajin Dong, Dong Ni:
Robust Box Prompt Based SAM for Medical Image Segmentation. 1-11 - Miriam Cobo, Amaia Pérez del Barrio, Pablo Menéndez Fernández-Miranda, Pablo Sanz Bellón, Lara Lloret Iglesias, Wilson Silva:
Multi-task Learning Approach for Intracranial Hemorrhage Prognosis. 12-21 - Constantin Ulrich, Catherine Knobloch, Julius Holzschuh, Tassilo Wald, Maximilian R. Rokuss, Maximilian Zenk, Maximilian Fischer, Michael Baumgartner, Fabian Isensee, Klaus H. Maier-Hein:
Mitigating False Predictions in Unreasonable Body Regions. 22-31 - Atefe Hassani, Islem Rekik:
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks. 32-42 - Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Tackling Domain Generalization for Out-of-Distribution Endoscopic Imaging. 43-52 - Sarah Müller, Louisa Fay, Lisa M. Koch, Sergios Gatidis, Thomas Küstner, Philipp Berens:
Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging. 53-62 - Teo Manojlovic, Ivo Ipsic, Ivan Stajduhar:
Selective Classifier Based Search Space Shrinking for Radiographs Retrieval. 63-73 - Pablo Blasco Fernandez, Karthik Gopinath, John Williams-Ramirez, Rogeny Herisse, Lucas J. Deden-Binder, Dina Zemlyanker, Theressa Connors, Liana Kozanno, Derek Oakley, Bradley T. Hyman, Sean I. Young, Juan Eugenio Iglesias:
Pseudo-rendering for Resolution and Topology-Invariant Cortical Parcellation. 74-84 - Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu:
Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. 85-94 - Zelong Liu, Andrew Tieu, Nikhil Patel, George Soultanidis, Louisa Deyer, Ying Wang, Sean Huver, Alexander Zhou, Yunhao Mei, Zahi A. Fayad, Timothy Deyer, Xueyan Mei:
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification. 95-107 - Christof Duhme, Chris Lippe, Verena Hoerr, Xiaoyi Jiang:
Transformer-Based Parameter Fitting of Models Derived from Bloch-McConnell Equations for CEST MRI Analysis. 108-116 - Krithika Iyer, Shireen Y. Elhabian:
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images. 117-127 - Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee:
StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. 128-137 - Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs:
Detection of Emerging Infectious Diseases in Lung CT Based on Spatial Anomaly Patterns. 138-147 - Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth:
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. 148-158 - Coby Penso, Jacob Goldberger:
Noise-Robust Conformal Prediction for Medical Image Classification. 159-168 - Solha Kang, Joris Vankerschaver, Utku Ozbulak:
Identifying Critical Tokens for Accurate Predictions in Transformer-Based Medical Imaging Models. 169-179 - Johanna P. Müller, Bernhard Kainz:
Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. 180-190 - Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao:
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. 191-200 - Krishna Chaitanya, Pablo F. Damasceno, Shreyas Fadnavis, Pooya Mobadersany, Chaitanya Parmar, Emily Scherer, Natalia Zemlianskaia, Lindsey Surace, Louis Ghanem, Gabriela Oana Cula, Tommaso Mansi, Kristopher Standish:
Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos. 201-211 - Yangyang Shi, Qi Zhu, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao:
Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning. 212-221 - Rami Al-Belmpeisi, Kristine Aavild Sørensen, Josefine Vilsbøll Sundgaard, Puria Nabilou, Monica Jane Emerson, Peter Hjørringgaard Larsen, Lise Lotte Gluud, Thomas Lund Andersen, Anders Bjorholm Dahl:
Identifying Nonalcoholic Fatty Liver Disease and Advanced Liver Fibrosis from MRI in UK Biobank. 222-231 - Junxuan Yu, Rusi Chen, Yongsong Zhou, Yanlin Chen, Yaofei Duan, Yuhao Huang, Han Zhou, Tan Tao, Xin Yang, Dong Ni:
Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation. 232-241
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