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Avinash Kori
Tytuł
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
21702018
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
13792023
Idrid: Diabetic retinopathy–segmentation and grading challenge
P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ...
Medical image analysis 59, 101561, 2020
3142020
A generalized deep learning framework for whole-slide image segmentation and analysis
M Khened*, A Kori*, H Rajkumar*, G Krishnamurthi, B Srinivasan
Scientific reports 11 (1), 1-14, 2021
1832021
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
P Natekar, A Kori, G Krishnamurthi
Frontiers in computational neuroscience 14, 6, 2020
1022020
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
1022020
Segmentation and classification in digital pathology for glioma research: challenges and deep learning approaches
T Kurc, S Bakas, X Ren, A Bagari, A Momeni, Y Huang, L Zhang, A Kumar, ...
Frontiers in neuroscience 14, 27, 2020
872020
2D-densely connected convolution neural networks for automatic liver and tumor segmentation
KC Kaluva, M Khened, A Kori, G Krishnamurthi
arXiv preprint arXiv:1802.02182, 2018
852018
Brain tumor segmentation and survival prediction using automatic hard mining in 3D CNN architecture
VK Anand, S Grampurohit, P Aurangabadkar, A Kori, M Khened, RS Bhat, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
472021
Zero shot learning for multi-modal real time image registration
A Kori, G Krishnamurthi
arXiv preprint arXiv:1908.06213, 2019
392019
Ensemble of convolutional neural networks for automatic grading of diabetic retinopathy and macular edema
A Kori, SS Chennamsetty, V Alex
arXiv preprint arXiv:1809.04228, 2018
392018
Ensemble of fully convolutional neural network for brain tumor segmentation from magnetic resonance images
A Kori, M Soni, B Pranjal, M Khened, V Alex, G Krishnamurthi
International MICCAI Brainlesion Workshop, 485-496, 2018
242018
Robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2018
232018
A combined radio-histological approach for classification of low grade gliomas
A Bagari*, A Kumar*, A Kori*, M Khened, G Krishnamurthi
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
142019
Enhanced optic disk and cup segmentation with glaucoma screening from fundus images using position encoded CNNs
V Agrawal, A Kori, V Alex, G Krishnamurthi
arXiv preprint arXiv:1809.05216, 2018
142018
Vector Quantisation for Robust Segmentation
A Santhirasekaram*, A Kori*, M Winkler, A Rockall, B Glocker
International Conference on Medical Image Computing and Computer-Assisted …, 2022
122022
Abstracting deep neural networks into concept graphs for concept level interpretability
A Kori, P Natekar, G Krishnamurthi, B Srinivasan
arXiv preprint arXiv:2008.06457, 2020
92020
Interpreting deep neural networks for medical imaging using concept graphs
A Kori, P Natekar, B Srinivasan, G Krishnamurthi
International Workshop on Health Intelligence, 201-216, 2021
82021
Enhanced image classification with data augmentation using position coordinates
A Kori, G Krishnamurthi, B Srinivasan
arXiv preprint arXiv:1802.02183, 2018
62018
Classification of breast cancer and grading of diabetic retinopathy & macular edema using ensemble of pre-trained convolutional neural networks
M Safwan, SS Chennamsetty, A Kori, V Alex, G Krishnamurthi
62018
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