MLHC

Publications

2023

Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. MLHC (2023)
Pranav Singh, Jacopo Cirrone
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision. MLHC (2023)
Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae-Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. MLHC (2023)
Xiaobin Shen, Jonathan Elmer, George H. Chen
Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks. MLHC (2023)
Sanjana Ramprasad, Elisa Ferracane, Sai P. Selvaraj
Generating more faithful and consistent SOAP notes using attribute-specific parameters. MLHC (2023)
Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. MLHC (2023)
Rhys Compton, Lily H. Zhang, Aahlad Manas Puli, Rajesh Ranganath
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. MLHC (2023)
Eric W. Prince, Todd C. Hankinson, Carsten Görg
EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings. MLHC (2023)
Yuqing Wang, Yun Zhao, Linda R. Petzold
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding. MLHC (2023)
Mert Ketenci, Shreyas Bhave, Noemie Elhadad, Adler J. Perotte
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. MLHC (2023)
Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. MLHC (2023)
Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski
Characterizing personalized effects of family information on disease risk using graph representation learning. MLHC (2023)
Zhe Huang, Benjamin S. Wessler, Michael C. Hughes
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning. MLHC (2023)
David Elias 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
Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging. MLHC (2023)
Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. MLHC (2023)
Muhammad Hasan Ferdous, Uzma Hasan, Md. Osman Gani
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data. MLHC (2023)
Cheng Cheng, Jeremy C. Weiss
Typed Markers and Context for Clinical Temporal Relation Extraction. MLHC (2023)
Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. MLHC (2023)
Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan
DuETT: Dual Event Time Transformer for Electronic Health Records. MLHC (2023)
David Calhas, Rui Henriques
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships. MLHC (2023)
Erkin Ötles, Brian T. Denton, Jenna Wiens
Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance. MLHC (2023)
Hongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. MLHC (2023)
Jian Zhu, Ilya Valmianski, Anitha Kannan
Dialogue-Contextualized Re-ranking for Medical History-Taking. MLHC (2023)
Danliang Ho, Mehul Motani
Multi-view Modelling of Longitudinal Health Data for Improved Prognostication of Colorectal Cancer Recurrence. MLHC (2023)
Jiaai Xu, Rada Mihalcea, Elena Frank, Srijan Sen, Maggie Makar
Uncovering the Varied Impact of Behavioral Change Messages on Population Groups. MLHC (2023)
Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
Coarse race data conceals disparities in clinical risk score performance. MLHC (2023)
Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. MLHC (2023)
Ali Behrouz, Margo I. Seltzer
Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks. MLHC (2023)
Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer. MLHC (2023)
Mercy Prasanna Ranjit, Gopinath Ganapathy, Ranjit Manuel, Tanuja Ganu
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models. MLHC (2023)
Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. MLHC (2023)
Yamac Alican Isik, Paidamoyo Chapfuwa, Connor Davis, Ricardo Henao
Hawkes Process with Flexible Triggering Kernels. MLHC (2023)
Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. MLHC (2023)
Lida Zhang, Bobak J. Mortazavi
Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data. MLHC (2023)
Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Sample-Specific Debiasing for Better Image-Text Models. MLHC (2023)
Faris F. Gulamali, Ashwin Sawant, Ira Hofer, Matthew A. Levin, Alexander Charney, Karandeep Singh, Benjamin S. Glicksberg, Girish N. Nadkarni
Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn). MLHC (2023)
Ahmed Elhussein, Gamze Gürsoy
Privacy-preserving patient clustering for personalized federated learnings. MLHC (2023)
Ömer Sümer, Rebekah L. Waikel, Suzanna E. Ledgister Hanchard, Dat Duong, Peter Krawitz, Cristina Conati, Benjamin D. Solomon, Elisabeth André
Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes. MLHC (2023)
Hyungrok Do, Yuxin Chang, Yoon-Sang Cho, Padhraic Smyth, Judy Zhong
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. MLHC (2023)
Hamed Fayyaz, Abigail Strang, Rahmatollah Beheshti
Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach. MLHC (2023)
Pranav Vaid, Serena Yeung, Anita Rau
Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments. MLHC (2023)
Ahmed Ammar Naseer, Benjamin Walker, Christopher Landon, Andrew Ambrosy, Marat Fudim, Nicholas Wysham, Botros Toro, Sumanth Swaminathan, Terry Lyons
ScoEHR: Generating Synthetic Electronic Health Records using Continuous-time Diffusion Models. MLHC (2023)
Griffin Adams, Jason Zuckerg, Noémie Elhadad
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. MLHC (2023)
Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo
Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk. MLHC (2023)
Jay B. 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 R. Rosen, Priscilla Brastianos, Raymond Y. Huang, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer
A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. MLHC (2023)
Alexis Nolin-Lapalme, Robert Avram, Hussin Julie
PrivECG: generating private ECG for end-to-end anonymization. MLHC (2023)
Sameer Tajdin Khanna, Adam Dejl, Kibo Yoon, Steven QH Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction. MLHC (2023)
Anil Palepu, Andrew Beam
TIER: Text-Image Entropy Regularization for Medical CLIP-style models. MLHC (2023)

volume 219, 2023

Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA. MLHC 219 (2023)

volume 182, 2022

Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA. MLHC 182 (2022)