Veronika Cheplygina

Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners

2017 · arXiv (Cornell University)

Supervised learning has been very successful for automatic segmentation of images from a single scanner. However, several papers report deteriorated performances when using classifiers trained on images from one scanner to segment images from other …

Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification

2025 · arXiv (Cornell University)

Transfer learning is crucial for medical imaging, yet the selection of source datasets often relies on researchers' intuition rather than systematic principles, which can impact the generalizability of algorithms and, thus, patient outcomes. This study …