Andrew Lim

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 9

Top Topics

Medical Diagnosis

Minimally Invasive Surgery

Feature Hierarchies

Top Venues

Proc. ACM Hum. Comput. Interact.

IEEE Robotics Autom. Lett.

Publications

Andrew Lim, Adam Schonewille, Cameron Forbrigger, Thomas Looi, James M. Drake, Eric D. Diller
Design and Comparison of Magnetically-Actuated Dexterous Forceps Instruments for Neuroendoscopy. IEEE Trans. Biomed. Eng. 68 (3) (2021)
Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, Edith Law
Ambiguity-aware AI Assistants for Medical Data Analysis. CHI (2020)
Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law
Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law
Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format. WWW (Companion Volume) (2019)
Cameron Forbrigger, Andrew Lim, Onaizah Onaizah, Sajad Salmanipour, Thomas Looi, James M. Drake, Eric D. Diller
Cable-Less, Magnetically Driven Forceps for Minimally Invasive Surgery. IEEE Robotics Autom. Lett. 4 (2) (2019)
William Callaghan, Joslin Goh, Michael Mohareb, Andrew Lim, Edith Law
MechanicalHeart: A Human-Machine Framework for the Classification of Phonocardiograms. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Mike Schaekermann, Edith Law, Kate Larson, Andrew Lim
Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis. SAD/CrowdBias@HCOMP (2018)
Pierre Thodoroff, Joelle Pineau, Andrew Lim
Learning Robust Features using Deep Learning for Automatic Seizure Detection. MLHC (2016)
Pierre Thodoroff, Joelle Pineau, Andrew Lim
Learning Robust Features using Deep Learning for Automatic Seizure Detection. CoRR (2016)