Convolutional Neural Network for ECG-based Virtual Pathology Stethoscope Tracking in Patient Heart Auscultation. - Haben Yhdego; Nahom Kidane; Sahil Aggarwal; Andrew E. Cross; Frederic D. McKenzie; Michel A. Audette (BIBM, 2019)

Towards Musculoskeletal Simulation-Aware Fall Injury Mitigation: Transfer Learning with Deep CNN for Fall Detection. - Haben Yhdego; Jiang Li 001; Steven Morrison; Michel A. Audette; Christopher Paolini; Mahasweta Sarkar; Hamid Reza Okhravi (SpringSim, 2019)

ECG-Based Virtual Pathology Stethoscope Tracking Using Transfer Learning. - Haben Yhdego; Nahom Kidane; Frederic D. McKenzie; Michel A. Audette (SpringSim, 2020)

Wearable Sensor Gait Analysis of Fall Detection using Attention Network. - Haben Yhdego; Jiang Li 001; Christopher Paolini; Michel A. Audette (BIBM, 2021)

Fall Detection Using Self-Supervised Pre-Training Model. - Haben Yhdego; Michel A. Audette; Christopher Paolini (ANNSIM, 2022)

Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. - Fatemeh Amrollahi; Supreeth Prajwal Shashikumar; Aaron Boussina; Haben Yhdego; Arshia Nayebnazar; Nathan Yung; Gabriel Wardi; Shamim Nemati (EMBC, 2023)

ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning. - Seokmin Choi; Sajad Mousavi; Phillip Si; Haben G. Yhdego; Fatemeh Khadem; Fatemeh Afghah (CoRR, 2023)

Wearable Sensor Gait Analysis for Fall Detection Using Deep Learning Methods. - Haben Yhdego (2023)

Development of deep-learning models for a hybrid simulation of auscultation training on standard patients using an ECG-based virtual pathology stethoscope. - Haben Yhdego; Nahom Kidane; Frederic D. McKenzie; Michel A. Audette (Simul., 2023)