Learning Robust Features using Deep Learning for Automatic Seizure Detection. - Pierre Thodoroff; Joelle Pineau; Andrew Lim 002 (MLHC, 2016)

Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis. - Mike Schaekermann; Edith Law; Kate Larson; Andrew Lim 002 (SAD/CrowdBias@HCOMP, 2018)

MechanicalHeart: A Human-Machine Framework for the Classification of Phonocardiograms. - William Callaghan; Joslin Goh; Michael Mohareb; Andrew Lim 002; Edith Law (Proc. ACM Hum. Comput. Interact., 2018)

Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format. - Mike Schaekermann; Graeme Beaton; Minahz Habib; Andrew Lim 002; Kate Larson; Edith Law (WWW (Companion Volume), 2019)

Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication. - Mike Schaekermann; Graeme Beaton; Minahz Habib; Andrew Lim 002; Kate Larson; Edith Law (Proc. ACM Hum. Comput. Interact., 2019)

Cable-Less, Magnetically Driven Forceps for Minimally Invasive Surgery. - Cameron Forbrigger; Andrew Lim 002; Onaizah Onaizah; Sajad Salmanipour; Thomas Looi; James M. Drake; Eric D. Diller (IEEE Robotics Autom. Lett., 2019)

Ambiguity-aware AI Assistants for Medical Data Analysis. - Mike Schaekermann; Graeme Beaton; Elaheh Sanoubari; Andrew Lim 002; Kate Larson; Edith Law (CHI, 2020)

Design and Comparison of Magnetically-Actuated Dexterous Forceps Instruments for Neuroendoscopy. - Andrew Lim 002; Adam Schonewille; Cameron Forbrigger; Thomas Looi; James M. Drake; Eric D. Diller (IEEE Trans. Biomed. Eng., 2021)