2 citations · 5 across the 5 of their papers we have counts for
5 papers
Photon Absorption Remote Sensing Virtual Histopathology: A Preliminary Exploration of Diagnostic Equivalence to Gold-Standard H&E Staining in Skin Cancer Excisional Biopsies
Benjamin R. Ecclestone, James E. D. Tweel, Marie Abi Daoud +7
Photon Absorption Remote Sensing (PARS) enables label-free imaging of subcellular morphology by observing biomolecule specific absorption interactions. Coupled with deep-learning,…
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
Amir Akbarnejad, Nilanjan Ray, Penny J. Barnes +1
Despite the advances in machine learning and digital pathology, it is not yet clear if machine learning methods can accurately predict molecular information merely from histomorpho…
GPEX, A Framework For Interpreting Artificial Neural Networks
Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray
The analogy between Gaussian processes (GPs) and deep artificial neural networks (ANNs) has received a lot of interest, and has shown promise to unbox the blackbox of deep ANNs. Ex…
Reflection-mode virtual histology using photoacoustic remote sensing microscopy
Kevan Bell, Saad Abbasi, Deepak Dinakaran +5
Histological visualizations are critical to clinical disease management and are fundamental to biological understanding. However, current approaches that rely on bright-field micro…
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection
Yao Xue, Gilbert Bigras, Judith Hugh +1
Automated cell detection and localization from microscopy images are significant tasks in biomedical research and clinical practice. In this paper, we design a new cell detection a…