Abstract is missing.
- Death Prediction by Race in Colorectal Cancer Patients Using Machine Learning ApproachesFrances M. Aponte-Caraballo, Frances Heredia-Negrón, Brenda G. Nieves-Rodriguez, Abiel Roche-Lima. 1-6 [doi]
- Neural Graph RevealersHarsh Shrivastava 0001, Urszula Chajewska. 7-25 [doi]
- Multi-modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and VideoTobias Weise, Paula Andrea Pérez-Toro, Andrea Deitermann, Bettina Hoffmann, Kubilay Can Demir, Theresa Straetz, Elmar Nöth, Andreas K. Maier, Thomas Kallert, Seung-Hee Yang. 26-42 [doi]
- RobustSsF: Robust Missing Modality Brain Tumor Segmentation with Self-supervised Learning-Based Scenario-Specific FusionJeongwon Lee, Dae-Shik Kim. 43-53 [doi]
- Semi-supervised Cooperative Learning for Multiomics Data FusionDaisy Yi Ding, Xiaotao Shen, Michael Snyder 0001, Robert Tibshirani. 54-63 [doi]
- Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor SegmentationYongsheng Mei, Guru Venkataramani, Tian Lan. 64-85 [doi]
- Multimodal LLMs for Health Grounded in Individual-Specific DataAnastasiya Belyaeva, Justin Cosentino, Farhad Hormozdiari, Krish Eswaran, Shravya Shetty, Greg Corrado, Andrew Carroll, Cory Y. McLean, Nicholas A. Furlotte. 86-102 [doi]
- Speed-of-Sound Mapping for Pulse-Echo Ultrasound Raw Data Using Linked-AutoencodersFarnaz Khun Jush, Peter M. Dueppenbecker, Andreas K. Maier. 103-114 [doi]
- HOOREX: Higher Order Optimizers for 3D Recovery from X-Ray ImagesKarthik Shetty, Annette Birkhold, Bernhard Egger, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas K. Maier. 115-124 [doi]
- GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease DetectionDebesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange. 125-140 [doi]
- MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome PredictionNiharika Shimona D'Souza, Hongzhi Wang 0002, Andrea Giovannini, Antonio Foncubierta Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood. 141-154 [doi]
- SIM-CNN: Self-supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using BiosignalsSunmin Eom, Sunwoo Eom, Peter Washington 0001. 155-171 [doi]
- InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational DataDominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees 0001, Ashwani Jha, Parashkev Nachev. 172-188 [doi]