118 citations · 253 across the 35 of their papers we have counts for
4 papers · 1 filter
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…
Structurally aware bidirectional unpaired image to image translation between CT and MR
Vismay Agrawal, Avinash Kori, Vikas Kumar Anand +1
Magnetic Resonance (MR) Imaging and Computed Tomography (CT) are the primary diagnostic imaging modalities quite frequently used for surgical planning and analysis. A general probl…
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…
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Mahendra Khened, Avinash Kori, Haran Rajkumar +2
Histopathology tissue analysis is considered the gold standard in cancer diagnosis and prognosis. Given the large size of these images and the increase in the number of potential c…