Articles with public access mandates - Peter MattsonLearn more
Not available anywhere: 1
The vision behind mlperf: Understanding ai inference performance
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu
IEEE Micro 41 (3), 10-18, 2021
Mandates: US National Science Foundation
Available somewhere: 7
Mlperf training benchmark
P Mattson, C Cheng, G Diamos, C Coleman, P Micikevicius, D Patterson, ...
Proceedings of Machine Learning and Systems 2, 336-349, 2020
Mandates: US National Science Foundation, US Department of Defense, Natural Sciences …
Metrics reloaded: recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature methods 21 (2), 195-212, 2024
Mandates: Swiss National Science Foundation, US National Institutes of Health, Natural …
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature machine intelligence 5 (7), 799-810, 2023
Mandates: US Department of Energy, US National Institutes of Health, Helmholtz …
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
Nature methods 21 (2), 182-194, 2024
Mandates: Swiss National Science Foundation, US National Institutes of Health, Natural …
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ...
Communications Engineering 2 (1), 23, 2023
Mandates: US National Institutes of Health, Agence Nationale de la Recherche
Croissant: A Metadata Format for ML-Ready Datasets
M Akhtar, O Benjelloun, C Conforti, P Gijsbers, J Giner-Miguelez, N Jain, ...
Proceedings of the Eighth Workshop on Data Management for End-to-End Machine …, 2024
Mandates: European Commission
Metrics reloaded: a new recommendation framework for biomedical image analysis validation
A Reinke, H Müller
Proceedings of the Medical Imaging with Deep Learning (MIDL 2022), 2022
Mandates: US National Institutes of Health
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