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Mike Schaekermann
Mike Schaekermann
Computer Science PhD, Eng BSc, Medicine State Exam I
Verified email at google.com - Homepage
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Cited by
Year
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
1112019
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
572018
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
292020
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
212019
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
212019
Online Bayesian transfer learning for sequential data modeling
P Jaini, Z Chen, P Carbajal, E Law, L Middleton, K Regan, ...
202016
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
182017
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
162022
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
162020
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
162019
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
162017
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
142016
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
102019
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, 2018
82018
Capturing expert arguments from medical adjudication discussions in a machine-readable format
M Schaekermann, G Beaton, M Habib, A Lim, K Larson, E Law
Companion Proceedings of The 2019 World Wide Web Conference, 1131-1137, 2019
72019
Tablet‐based electroencephalography diagnostics for patients with epilepsy in the West African Republic of Guinea
E Sokolov, DH Abdoul Bachir, F Sakadi, J Williams, AC Vogel, ...
European journal of neurology 27 (8), 1570-1577, 2020
62020
Designing for curiosity: an interdisciplinary workshop
E Law, PY Oudeyer, M Yin, M Schaekermann, AC Williams
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017
62017
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
52020
Data excellence for AI: why should you care?
L Aroyo, M Lease, P Paritosh, M Schaekermann
Interactions 29 (2), 66-69, 2022
42022
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
42021
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