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Andrew Lim 0002
Person information
- affiliation: University of Toronto, Institute of Biomaterials and Biomedical Engineering, ON, Canada
Other persons with the same name
- Andrew Lim — disambiguation page
- Andrew Lim 0001 — National University of Singapore, Department of Industrial Systems Engineering and Management, Singapore (and 3 more)
- Andrew Lim 0003 — Stanford University, CA, USA
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2020 – today
- 2021
- [j4]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): 846-856 (2021) - 2020
- [c4]Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, Edith Law:
Ambiguity-aware AI Assistants for Medical Data Analysis. CHI 2020: 1-14
2010 – 2019
- 2019
- [j3]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): 76:1-76:23 (2019) - [j2]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): 1202-1207 (2019) - [c3]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: 1131-1137 - 2018
- [j1]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): 28:1-28:17 (2018) - [c2]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: 55-66 - 2016
- [c1]Pierre Thodoroff, Joelle Pineau, Andrew Lim:
Learning Robust Features using Deep Learning for Automatic Seizure Detection. MLHC 2016: 178-190 - [i1]Pierre Thodoroff, Joelle Pineau, Andrew Lim:
Learning Robust Features using Deep Learning for Automatic Seizure Detection. CoRR abs/1608.00220 (2016)
Coauthor Index
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