35 citations · 38 across the 14 of their papers we have counts for
5 papers · 1 filter
PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images
Akhila Krishna, Nikhil Cherian Kurian, Abhijeet Patil +2
Accurate survival prediction is essential for personalized cancer treatment. However, genomic data - often a more powerful predictor than pathology data - is costly and inaccessibl…
Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
Abhijeet Patil, Harsh Diwakar, Jay Sawant +5
Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic soft…
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers
Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi
Convolution Neural Networks (CNNs) are widely used in medical image analysis, but their performance degrade when the magnification of testing images differ from the training images…
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation
Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese +8
Although the U-Net architecture has been extensively used for segmentation of medical images, we address two of its shortcomings in this work. Firstly, the accuracy of vanilla U-Ne…
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Saqib Shamsi +2
We present WSSAMNet, a weakly supervised method for medical image registration. Ours is a two step method, with the first step being the computation of segmentation masks of the fi…