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20162026
most citedSolar wind prediction using deep learning

76 citations · 92 across the 14 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

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…

cs.CV2023★ 9 cited

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…

cs.CV2020

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…

cs.CV2020

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.…

cs.CV2020

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…

cs.CV2018

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…