109 citations · 156 across the 12 of their papers we have counts for
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eess.IV2023★ 1 cited
Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction
Yinzhu Jin, Jonathan C. Garneau, P. Thomas Fletcher
This paper introduces feature gradient flow, a new technique for interpreting deep learning models in terms of features that are understandable to humans. The gradient flow of a mo…
eess.IV2023★ 3 cited
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
Aman Shrivastava, P. Thomas Fletcher
In recent years, computational pathology has seen tremendous progress driven by deep learning methods in segmentation and classification tasks aiding prognostic and diagnostic sett…