MLHC 2023

48 papers

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, Praveer Singh, Mishka Gidwani, Katharina Hoebel, Albert Kim, Christopher Bridge, Chung-Jen Teng, Xiaomei Li, Gongwen Xu, Megan McDonald, Ayal Aizer, Wenya Linda Bi, Ina Ly, Bruce Rosen, Priscilla Brastianos, Raymond Huang, Elizabeth Gerstner, Jayashree Kalpathy-Cramer

A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization Griffin Adams, Jason Zuckerg, Nóemie Elhadad

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier Gonzalez Hernandez, Julia Greissl, Edward Meeds

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, Samuel Kaski

Coarse Race Data Conceals Disparities in Clinical Risk Score Performance Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John Guttag, Nikhil Garg, Emma Pierson

Composition Counts: A Machine Learning View on Immunothrombosis Using Quantitative Phase Imaging David Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Martin Schlegel, Sebastian Rasch, Oliver Hayden, Klaus Diepold

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David Sontag

Contactless Oxygen Monitoring with Radio Waves and Gated Transformer Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi

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, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan

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, Padhraic Smyth, Judy Zhong

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, Ricardo Henao

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, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow

Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs Somin Wadhwa, Jay DeYoung, Benjamin Nye, Silvio Amir, Byron C. Wallace

Learning Functional Sections in Medical Conversations: Iterative Pseudo-Labeling and Human-in-the-Loop Approach Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan

Learning Missing Modal Electronic Health Records with Unified Multi-Modal Data Embedding and Modality-Aware Attention Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee

Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling Mert Ketenci, Shreyas Bhave, Noemie Elhadad, Adler Perotte

Multi-View Modelling of Longitudinal Health Data for Improved Prognostication of Colorectal Cancer Recurrence Danliang Ho, Mehul Motani

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, Matthew Levin, Alexander Charney, Karandeep Singh, Benjamin Glicksberg, Girish Nadkarni

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, Steven QH Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen

Region-Based Saliency Explanations on the Recognition of Facial Genetic Syndromes Ömer Sümer, Rebekah L. Waikel, Suzanna E. Ledgister Hanchard, Dat Duong, Peter Krawitz, Cristina Conati, Benjamin D. Solomon, Elisabeth André

Retrieval Augmented Chest X-Ray Report Generation Using OpenAI GPT Models Mercy Ranjit, Gopinath Ganapathy, Ranjit Manuel, Tanuja Ganu

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, William M. Wells, Seth Berkowitz, Steven Horng, Polina Golland

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

ScoEHR: Generating Synthetic Electronic Health Records Using Continuous-Time Diffusion Models Ahmed Ammar Naseer, Benjamin Walker, Christopher Landon, Andrew Ambrosy, Marat Fudim, Nicholas Wysham, Botros Toro, Sumanth Swaminathan, Terry Lyons

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, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Soren Brage, Nicholas Wareham, Cecilia Mascolo

Uncovering the Varied Impact of Behavioral Change Messages on Population Groups Jiaai Xu, Rada Mihalcea, Elena Frank, Srijan Sen, Maggie Makar

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, Rajesh Ranganath

Which Explanation Makes Sense? a Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk Celia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo