Papers
242 papers found
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention
Kwanhyung Lee, Soojeong Lee, Sangchul Hahn et al.
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling
Mert Ketenci, Shreyas Bhave, Noemie Elhadad et al.
Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks
Xiaobin Shen, Jonathan Elmer, George H. Chen
Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn)
Faris Gulamali, Ashwin Sawant, Ira Hofer et al.
Privacy-preserving patient clustering for personalized federated learnings
Ahmed Elhussein, Gamze Gürsoy
PrivECG: generating private ECG for end-to-end anonymization
Alexis Nolin-Lapalme, Robert Avram, Hussin Julie
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction
Sameer Khanna, Adam Dejl, Kibo Yoon et al.
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision
Makiya Nakashima, Donna Salem, HW Wilson Tang et al.
Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes
Ömer Sümer, Rebekah L. Waikel, Suzanna E. Ledgister Hanchard et al.
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models
Mercy Ranjit, Gopinath Ganapathy, Ranjit Manuel et al.
Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments
Pranav Vaid, Serena Yeung, Anita Rau
Sample-Specific Debiasing for Better Image-Text Models
Peiqi Wang, Yingcheng Liu, Ching-Yun Ko et al.
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
Cliff Wong, Sheng Zhang, Yu Gu et al.
ScoEHR: Generating Synthetic Electronic Health Records using Continuous-time Diffusion Models
Ahmed Ammar Naseer, Benjamin Walker, Christopher Landon et al.
Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data
Lida Zhang, Bobak J. Mortazavi
TIER: Text-Image Entropy Regularization for Medical CLIP-style models
Anil Palepu, Andrew Beam
Typed Markers and Context for Clinical Temporal Relation Extraction
Cheng Cheng, Jeremy C. Weiss
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction
Yu Wu, Dimitris Spathis, Hong Jia et al.
Uncovering the Varied Impact of Behavioral Change Messages on Population Groups
Jiaai Xu, Rada Mihalcea, Elena Frank et al.
Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance
Erkin Ötles, Brian T. Denton, Jenna Wiens
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations
Rhys Compton, Lily Zhang, Aahlad Puli et al.
Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk
Celia Wafa Ayad, Thomas Bonnier, Benjamin Bosch et al.
ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images
Josiah Aklilu, Serena Yeung
A Multi Instance Learning Approach for Critical View of Safety Detection in Laparoscopic Cholecystectomy
Yariv Colbeci, Maya Zohar, Daniel Neimark et al.