| Detection and classification of cardiac arrhythmias by a challenge-best deep learning neural network model TM Chen, CH Huang, ESC Shih, YF Hu, MJ Hwang Iscience 23 (3), 100886, 2020 | 158 | 2020 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 1-18, 2021 | 69 | 2021 |
| SRECG: ECG Signal Super-resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification TM Chen, YH Tsai, HH Tseng, KC Liu, JY Chen, CH Huang, GY Li, ... IEEE Transactions on Consumer Electronics, 2023 | 27 | 2023 |
| Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research JL Golob, TT Oskotsky, AS Tang, A Roldan, V Chung, CWY Ha, RJ Wong, ... Cell Reports Medicine 5 (1), 2024 | 22 | 2024 |
| Evaluation and optimization of sequence-based gene regulatory deep learning models AM Rafi, D Penzar, D Nogina, D Lee, ED Vaishnav, D Lee, N Kim, S Kim, ... bioRxiv, 2023.04. 26.538471, 2023 | 2 | 2023 |
| AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical Records CT Wang, TM Chen, NT Lee, SH Fang The Laryngoscope, 2024 | | 2024 |
| Accelerating cough-based algorithms for pulmonary tuberculosis screening: Results from the CODA TB DREAM Challenge D Jaganath, SK Sieberts, M Raberahona, S Huddart, L Omberg, ... medRxiv, 2024.05. 13.24306584, 2024 | | 2024 |
| Microbiome-based risk prediction in incident heart failure: a community challenge PP Erawijantari, E Kartal, J Liñares-Blanco, TD Laajala, LE Feldman, ... medRxiv, 2023.10. 12.23296829, 2023 | | 2023 |
| Predicting FDA approvability of small-molecule drugs CH Huang, J Hsu, L Yang, TM Chen, ESC Shih, MJ Hwang bioRxiv, 2022.10. 15.512330, 2022 | | 2022 |
