John V. Guttag
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle
2021 · 421 Zit. · DSpace@MIT (Massachusetts Institute of Technology)
Do as AI say: susceptibility in deployment of clinical decision-aids
2021 · 401 Zit. · npj Digital Medicine
UniverSeg: Universal Medical Image Segmentation
2023 · 143 Zit.
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle
2021 · 84 Zit.
Understanding Potential Sources of Harm throughout the Machine Learning Life Cycle
2021 · 28 Zit.
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
2022 · 18 Zit.
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
2023 · 11 Zit.
UniverSeg: Universal Medical Image Segmentation
2023 · 1 Zit. · arXiv (Cornell University)
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
2021 · 0 Zit. · arXiv (Cornell University)