2 citations · 2 across the 3 of their papers we have counts for
9 papers
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar +4
We utilize 3-D fully convolutional neural networks (CNN) to segment gliomas and its constituents from multimodal Magnetic Resonance Images (MRI). The architecture uses dense connec…
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…
Dynamic Regularizer with an Informative Prior
Avinash Kori, Manik Sharma
Regularization methods, specifically those which directly alter weights like and , are an integral part of many learning algorithms. Both the regularizers mentioned abov…
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
The accurate automatic segmentation of gliomas and its intra-tumoral structures is important not only for treatment planning but also for follow-up evaluations. Several methods bas…