Papers
242 papers found
A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging
Jay Patel, Syed Rakin Ahmed, Ken Chang et al.
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires
Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa et al.
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization
Griffin Adams, Jason Zuckerg, Nóemie Elhadad
Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks
Ali Behrouz, Margo Seltzer
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
Yuqing Wang, Yun Zhao, Linda Petzold
Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach
Hamed Fayyaz, Abigail Strang, Rahmatollah Beheshti
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data
Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani
Characterizing personalized effects of family information on disease risk using graph representation learning
Sophie Wharrie, Zhiyu Yang, Andrea Ganna et al.
Coarse race data conceals disparities in clinical risk score performance
Rajiv Movva, Divya Shanmugam, Kaihua Hou et al.
Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging
David Fresacher, Stefan Röhrl, Christian Klenk et al.
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes
Sharon Jiang, Shannon Shen, Monica Agrawal et al.
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer
Hao He, Yuan Yuan, Ying-Cong Chen et al.
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals
Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang, Benjamin S. Wessler, Michael C. Hughes
Dialogue-Contextualized Re-ranking for Medical History-Taking
Jian Zhu, Ilya Valmianski, Anitha Kannan
DuETT: Dual Event Time Transformer for Electronic Health Records
Alex Labach, Aslesha Pokhrel, Xiao Shi Huang et al.
EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings
Eric Prince, Todd C. Hankinson, Carsten Görg
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships
David Calhas, Rui Henriques
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision
Pranav Singh, Jacopo Cirrone
Fair Survival Time Prediction via Mutual Information Minimization
Hyungrok Do, Yuxin Chang, Yoon Sang Cho et al.
Generating more faithful and consistent SOAP notes using attribute-specific parameters
Sanjana Ramprasad, Elisa Ferracane, Sai P. Selvaraj
Hawkes Process with Flexible Triggering Kernels
Yamac Isik, Paidamoyo Chapfuwa, Connor Davis et al.
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions
Hongjing Xia, Joshua C. Chang, Sarah Nowak et al.
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs
Somin Wadhwa, Jay DeYoung, Benjamin Nye et al.
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach
Mengqian Wang, Ilya Valmianski, Xavier Amatriain et al.