41 citations · 145 across the 30 of their papers we have counts for
10 papers · 1 filter
Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images
Abhijeet Patil, Mohd. Talha, Aniket Bhatia +4
Performance of deep learning algorithms decreases drastically if the data distributions of the training and testing sets are different. Due to variations in staining protocols, rea…
PAL : Pretext-based Active Learning
Shubhang Bhatnagar, Sachin Goyal, Darshan Tank +1
The goal of pool-based active learning is to judiciously select a fixed-sized subset of unlabeled samples from a pool to query an oracle for their labels, in order to maximize the…
Switching Loss for Generalized Nucleus Detection in Histopathology
Deepak Anand, Gaurav Patel, Yaman Dang +1
The accuracy of deep learning methods for two foundational tasks in medical image analysis -- detection and segmentation -- can suffer from class imbalance. We propose a `switching…
Visualization for Histopathology Images using Graph Convolutional Neural Networks
Mookund Sureka, Abhijeet Patil, Deepak Anand +1
With the increase in the use of deep learning for computer-aided diagnosis in medical images, the criticism of the black-box nature of the deep learning models is also on the rise.…
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis
Pranav Poduval, Hrushikesh Loya, Amit Sethi
Deep neural networks have revolutionized medical image analysis and disease diagnosis. Despite their impressive performance, it is difficult to generate well-calibrated probabilist…
A Cyclical Deep Learning Based Framework For Simultaneous Inverse and Forward design of Nanophotonic Metasurfaces
Abhishek Mall, Abhijeet Patil, Amit Sethi +1
The conventional approach to nanophotonic metasurface design and optimization for a targeted electromagnetic response involves exploring large geometry and material spaces, which i…