Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases. - Zaid Nabulsi; Andrew Sellergren; Shahar Jamshy; Charles Lau; Eddie Santos; Atilla P. Kiraly; Wenxing Ye; Jie Yang; Sahar Kazemzadeh; Jin Yu; Raju Kalidindi; Mozziyar Etemadi; et al. (CoRR, 2020)

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. - Sahar Kazemzadeh; Jin Yu; Shahar Jamshy; Rory Pilgrim; Zaid Nabulsi; Christina Chen; Neeral Beladia; Charles Lau; Scott Mayer McKinney; Thad Hughes; Atilla P. Kiraly; Sreenivasa Raju Kalidindi; et al. (CoRR, 2021)

Predicting Poverty Level from Satellite Imagery using Deep Neural Networks. - Varun Chitturi; Zaid Nabulsi (CoRR, 2021)

Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals. - Louis Blankemeier; Sebastien Baur; Wei-Hung Weng; Jake Garrison; Yossi Matias; Shruthi Prabhakara; Diego Ardila; Zaid Nabulsi (CoRR, 2023)

HeAR - Health Acoustic Representations. - Sebastien Baur; Zaid Nabulsi; Wei-Hung Weng; Jake Garrison; Louis Blankemeier; Sam Fishman; Christina Chen; Sujay Kakarmath; Minyoi Maimbolwa; Nsala Sanjase; Brian Shuma; Yossi Matias; et al. (CoRR, 2024)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - Louis Blankemeier; Joseph Paul Cohen; Ashwin Kumar; Dave Van Veen; Syed Jamal Safdar Gardezi; Magdalini Paschali; Zhihong Chen; Jean-Benoit Delbrouck; Eduardo Pontes Reis; Cesar Truyts; Christian Bluethgen; Malte Engmann Kjeldskov Jensen; et al. (CoRR, 2024)

ViMGuard: A Novel Multi-Modal System for Video Misinformation Guarding. - Andrew Kan; Christopher Kan; Zaid Nabulsi (CoRR, 2024)