Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net. - Hamed Fayyaz; Ehsan Kozegar; Tao Tan; Mohsen Soryani (CoRR, 2021)

Predicting attrition patterns from pediatric weight management programs. - Hamed Fayyaz; Thao-Ly T. Phan; H. Timothy Bunnell; Rahmatollah Beheshti (ML4H@NeurIPS, 2022)

Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns. - Hamed Fayyaz; Thao-Ly T. Phan; H. Timothy Bunnell; Rahmatollah Beheshti (CoRR, 2022)

Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach. - Hamed Fayyaz; Abigail Strang; Rahmatollah Beheshti (MLHC, 2023)

An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation. - Hamed Fayyaz; Mehak Gupta; Alejandra Perez Ramirez; Claudine Jurkovitz; H. Timothy Bunnell; Thao-Ly T. Phan; Rahmatollah Beheshti (ML4H@NeurIPS, 2024)

Multimodal Sleep Apnea Detection with Missing or Noisy Modalities. - Hamed Fayyaz; Niharika S. D'Souza; Rahmatollah Beheshti (MLHC, 2024)

Multimodal Sleep Apnea Detection with Missing or Noisy Modalities. - Hamed Fayyaz; Abigail Strang; Niharika Shimona D'Souza; Rahmatollah Beheshti (CoRR, 2024)

Bias patterns in the application of LLMs for clinical decision support: A comprehensive study. - Raphael Poulain; Hamed Fayyaz; Rahmatollah Beheshti (CoRR, 2024)

Aligning (Medical) LLMs for (Counterfactual) Fairness. - Raphael Poulain; Hamed Fayyaz; Rahmatollah Beheshti (CoRR, 2024)

Enabling Scalable Evaluation of Bias Patterns in Medical LLMs. - Hamed Fayyaz; Raphael Poulain; Rahmatollah Beheshti (CoRR, 2024)