Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies. - Ryan Wang; Li-Ching Chen; Lama Moukheiber; Mira Moukheiber; Dana Moukheiber; Zach Zaiman; Sulaiman Moukheiber; Tess Litchman; Kenneth Patrick Seastedt; Hari Trivedi; Rebecca Steinberg; Po-Chih Kuo; et al. (CoRR, 2022)

Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation. - Swathikan Chidambaram; Yathukulan Maheswaran; Kian Patel; Viknesh Sounderajah; Daniel A. Hashimoto; Kenneth Patrick Seastedt; Alison H. McGregor; Sheraz R. Markar; Ara Darzi (Sensors, 2022)

Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. - Ryan Wang; Li-Ching Chen; Lama Moukheiber; Kenneth Patrick Seastedt; Mira Moukheiber; Dana Moukheiber; Zachary Zaiman; Sulaiman Moukheiber; Tess Litchman; Hari Trivedi; Rebecca Steinberg; Judy W. Gichoya; et al. (Int. J. Medical Informatics, 2023)

Predicting Pulmonary Function from Chest X-Rays Using Deep Learning: A DenseNet Approach to Estimating FEV1/FVC Z-Scores. - Somin Mindy Lee; Mohamed Abdalla 001; Bita Behrouzi; Soyoon Lee; Po-Chih Kuo; Han-Jay Shu; Kenneth Patrick Seastedt; Leo Anthony Celi; Benjamin Fine (I2MTC, 2025)