41 citations · 145 across the 30 of their papers we have counts for
8 papers · 1 filter
Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer
Tirupati Saketh Chandr, Sahar Almahfouz Nasser, Nikhil Cherian Kurian +1
The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade. Automated mitosis detection through deep learning-oriented image analysi…
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning
Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian +2
The standard diagnostic procedures for targeted therapies in lung cancer treatment involve histological subtyping and subsequent detection of key driver mutations, such as EGFR. Ev…
Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input UNet
Bibin Wilson, Rajiv Kumar, Narayanarao Bhogapurapu +2
Traditional survey methods for finding surface resistivity are time-consuming and labor intensive. Very few studies have focused on finding the resistivity/conductivity using remot…
WaveMix: A Resource-efficient Neural Network for Image Analysis
Pranav Jeevan, Kavitha Viswanathan, Anandu A S +1
We propose a novel neural architecture for computer vision -- WaveMix -- that is resource-efficient and yet generalizable and scalable. While using fewer trainable parameters, GPU…
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…
WaveMix: Resource-efficient Token Mixing for Images
Pranav Jeevan, Amit Sethi
Although certain vision transformer (ViT) and CNN architectures generalize well on vision tasks, it is often impractical to use them on green, edge, or desktop computing due to the…
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…
Perceptual cGAN for MRI Super-resolution
Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele +2
Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients. Low-resolution MR im…