ML4MHD

Keyphrases

Publications

volume 14315, 2024

Machine Learning for Multimodal Healthcare Data - First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings ML4MHD 14315 (2024)

2023

Daisy Yi Ding, Xiaotao Shen, Michael Snyder, Robert Tibshirani
Semi-supervised Cooperative Learning for Multiomics Data Fusion. ML4MHD (2023)
Farnaz Khun Jush, Peter M. Dueppenbecker, Andreas K. Maier
Speed-of-Sound Mapping for Pulse-Echo Ultrasound Raw Data Using Linked-Autoencoders. ML4MHD (2023)
Anastasiya Belyaeva, Justin Cosentino, Farhad Hormozdiari, Krish Eswaran, Shravya Shetty, Greg Corrado, Andrew Carroll, Cory Y. McLean, Nicholas A. Furlotte
Multimodal LLMs for Health Grounded in Individual-Specific Data. ML4MHD (2023)
Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. ML4MHD (2023)
Yongsheng Mei, Guru Venkataramani, Tian Lan
Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation. ML4MHD (2023)
Sunmin Eom, Sunwoo Eom, Peter Washington
SIM-CNN: Self-supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals. ML4MHD (2023)
Frances M. Aponte-Caraballo, Frances Heredia-Negrón, Brenda G. Nieves-Rodriguez, Abiel Roche-Lima
Death Prediction by Race in Colorectal Cancer Patients Using Machine Learning Approaches. ML4MHD (2023)
Harsh Shrivastava, Urszula Chajewska
Neural Graph Revealers. ML4MHD (2023)
Karthik Shetty, Annette Birkhold, Bernhard Egger, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas K. Maier
HOOREX: Higher Order Optimizers for 3D Recovery from X-Ray Images. ML4MHD (2023)
Dominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Ashwani Jha, Parashkev Nachev
InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD (2023)
Debesh 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
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD (2023)
Tobias Weise, Paula Andrea Pérez-Toro, Andrea Deitermann, Bettina Hoffmann, Kubilay Can Demir, Theresa Straetz, Elmar Nöth, Andreas K. Maier, Thomas Kallert, Seung Hee Yang
Multi-modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video. ML4MHD (2023)
Jeongwon Lee, Dae-Shik Kim
RobustSsF: Robust Missing Modality Brain Tumor Segmentation with Self-supervised Learning-Based Scenario-Specific Fusion. ML4MHD (2023)