74 citations · 173 across the 30 of their papers we have counts for
5 papers · 1 filter
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…
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field
Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga +2
This study proposes an end-to-end unsupervised diffeomorphic deformable registration framework based on moving mesh parameterization. Using this parameterization, a deformation fie…
Dynamic Background Subtraction by Generative Neural Networks
Fateme Bahri, Nilanjan Ray
Background subtraction is a significant task in computer vision and an essential step for many real world applications. One of the challenges for background subtraction methods is…
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential
Soumyadeep Pal, Matthew Tennant, Nilanjan Ray
We present a postprocessing layer for deformable image registration to make a registration field more diffeomorphic by encouraging Jacobians of the transformation to be positive. D…
A training-free recursive multiresolution framework for diffeomorphic deformable image registration
Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar +1
Diffeomorphic deformable image registration is one of the crucial tasks in medical image analysis, which aims to find a unique transformation while preserving the topology and inve…