76 citations · 92 across the 14 of their papers we have counts for
11 papers · 1 filter
Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images
Mathumetha Palani, Kavya Puthumana, Ayantika Das +1
The advent of handheld fundus imaging devices has made ophthalmologic diagnosis and disease screening more accessible, efficient, and cost-effective. However, images captured from…
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation
Vikas Dwivedi, Balaji Srinivasan, Ganapathy Krishnamurthi
Effective training of deep image segmentation models is challenging due to the need for abundant, high-quality annotations. Generating annotations is laborious and time-consuming f…
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability
Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi +1
The black-box nature of deep learning models prevents them from being completely trusted in domains like biomedicine. Most explainability techniques do not capture the concept-base…
Distangling Biological Noise in Cellular Images with a focus on Explainability
Manik Sharma, Ganapathy Krishnamurthi
The cost of some drugs and medical treatments has risen in recent years that many patients are having to go without. A classification project could make researchers more efficient.…
2018 Robotic Scene Segmentation Challenge
Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs
Vismay Agrawal, Avinash Kori, Varghese Alex +1
In this manuscript, we present a robust method for glaucoma screening from fundus images using an ensemble of convolutional neural networks (CNNs). The pipeline comprises of first…