Follow
Mike Schaekermann
Mike Schaekermann
Computer Science PhD, Eng BSc, Medicine State Exam I
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Towards expert-level medical question answering with large language models
K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ...
arXiv preprint arXiv:2305.09617, 2023
2452023
Deep learning and glaucoma specialists: the relative importance of optic disc features to predict glaucoma referral in fundus photographs
S Phene, RC Dunn, N Hammel, Y Liu, J Krause, N Kitade, ...
Ophthalmology 126 (12), 1627-1639, 2019
1652019
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study
P Ruamviboonsuk, R Tiwari, R Sayres, V Nganthavee, K Hemarat, ...
The Lancet Digital Health 4 (4), e235-e244, 2022
972022
Towards generalist biomedical ai
T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ...
NEJM AI 1 (3), AIoa2300138, 2024
872024
Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in Crowd Work
M Schaekermann, J Goh, K Larson, E Law
2018 ACM Conference on Computer Supported Cooperative Work and Social …, 2018
672018
Ambiguity-aware ai assistants for medical data analysis
M Schaekermann, G Beaton, E Sanoubari, A Lim, K Larson, E Law
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
442020
Understanding expert disagreement in medical data analysis through structured adjudication
M Schaekermann, G Beaton, M Habib, A Lim, K Larson, E Law
Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-23, 2019
382019
Data excellence for AI: why should you care?
L Aroyo, M Lease, P Paritosh, M Schaekermann
Interactions 29 (2), 66-69, 2022
332022
Testing incremental difficulty design in platformer games
RR Wehbe, ED Mekler, M Schaekermann, E Lank, LE Nacke
Proceedings of the 2017 CHI conference on human factors in computing systems …, 2017
282017
Trusted AI and the contribution of trust modeling in multiagent systems
R Cohen, M Schaekermann, S Liu, M Cormier
Proceedings of the 18th international conference on autonomous agents and …, 2019
272019
Expert discussions improve comprehension of difficult cases in medical image assessment
M Schaekermann, CJ Cai, AE Huang, R Sayres
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
252020
Smartphone EEG and remote online interpretation for children with epilepsy in the Republic of Guinea: Quality, characteristics, and practice implications
JA Williams, FA Cisse, M Schaekermann, F Sakadi, NR Tassiou, ...
Seizure 71, 93-99, 2019
242019
Online Bayesian transfer learning for sequential data modeling
P Jaini, Z Chen, P Carbajal, E Law, L Middleton, K Regan, ...
International Conference on Learning Representations, 2016
242016
Towards conversational diagnostic ai
T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ...
arXiv preprint arXiv:2401.05654, 2024
222024
Curiously motivated: profiling curiosity with self-reports and behaviour metrics in the game" destiny"
M Schaekermann, G Ribeiro, G Wallner, S Kriglstein, D Johnson, ...
Proceedings of the annual symposium on computer-human interaction in play …, 2017
202017
The challenge of variable effort crowdsourcing and how visible gold can help
D Hettiachchi, M Schaekermann, TJ McKinney, M Lease
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-26, 2021
162021
Resolvable vs. Irresolvable Ambiguity: A New Hybrid Framework for Dealing with Uncertain Ground Truth
M Schaekermann, E Law, AC Williams, W Callaghan
Workshop on Human-Centered Machine Learning at CHI'16, 2016
162016
Remote tool-based adjudication for grading diabetic retinopathy
M Schaekermann, N Hammel, M Terry, TK Ali, Y Liu, B Basham, ...
Translational Vision Science & Technology 8 (6), 40-40, 2019
152019
Longitudinal screening for diabetic retinopathy in a nationwide screening program: comparing deep learning and human graders
J Limwattanayingyong, V Nganthavee, K Seresirikachorn, T Singalavanija, ...
Journal of diabetes research 2020, 2020
112020
Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis.
M Schaekermann, E Law, K Larson, A Lim
SAD/CrowdBias@ HCOMP, 55-66, 2018
112018
The system can't perform the operation now. Try again later.
Articles 1–20