75 citations · 96 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 21 cited
Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models
Paul Calle, Averi Bates, Justin C. Reynolds +10
Background and Objectives: The variability and biases in the real-world performance benchmarking of deep learning models for medical imaging compromise their trustworthiness for re…
q-bio.QM2023★ 75 cited
Deep neural network improves the estimation of polygenic risk scores for breast cancer
Adrien Badré, Li Zhang, Wellington Muchero +2
Polygenic risk scores (PRS) estimate the genetic risk of an individual for a complex disease based on many genetic variants across the whole genome. In this study, we compared a se…