2020

Avinash Kori. Dynamic Behavior of Coupled Neuron System from a Game-Theoretic Standpoint. NBCT (under review), 2020.
(.pdf) (abstract)
Tahsin Kurc, et.al. Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches. Frontier in Neuroscience, 2020.
(abstract)
Avinash Kori, Mahendra Khened, Haran Rajkumar, Balaji Srinivasan, Ganapathy Krishnamurthi. A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. Medical Image Analysis, in Review, 2020.
(.pdf) (abstract)
Avinash Kori, Parth Natekar. Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontier in Computational Neuroscience, 2020.
(.pdf) (abstract)

2019

Prasanna Porwal et.al. IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge. Medical Image Analysis, 2019.
(abstract)
Avinash Kori, Manik Sharma. Dynamic Regularizer with an Informative Prior. Neural Information Processing Systems (NeurIPS). Under Review, 2019.
(abstract)
Avinash Kori, Kanti Kumari, Ganapathy Krishnamurthi. Zero Shot Learning for Multi-Modal Real Time Image Registration. Medical Image Computing and Computer Assisted Intervention (MICCAI). Under Review, 2019.
(abstract)
Vismay Agrawal, Avinash Kori, Vikas Kumar Anand, Ganapathy Krishnamurthi. Structurally aware bidirectional unpaired image to image translation between CT and MR. Medical Image Computing and Computer Assisted Intervention (MICCAI). Under Review, 2019.
(abstract)

2018

Avinash Kori, Mehul Soni, B. Pranjal, Mahendra Khened, Varghese Alex, Ganapathy Krishnamurthi. Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.
(.pdf) (abstract)
Aditya Bagari, Ashish Kumar, Avinash Kori, Mahendra Khened, Ganapathy Krishnamurthi. A Combined Radio-Histological Approach for Classification of Low Grade Gliomas. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.
(.pdf) (abstract)
Bhadra S. Kumar, Avinash Kori, Sundari Elango, V. Srinivasa Chakravarthy. Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map. International Conference on Neural Information Processing (ICONIP), 2018.
(.pdf) (abstract)
Avinash Kori, Harikrishnan R. Comparative Study: Reinforcement Learning and Inverse Reinforcement Learning Algorithms. , 2018.
(abstract)
Avinash Kori, Sai Saketh Chennamsetty, Mohammed Safwan K.P. and Varghese Alex. Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema. International Symposium on Biomedical Imaging (ISBI), 2018.
(.pdf) (abstract)

2017

Mohammed Safwan, Sai Saketh Chennamsetty, Avinash Kori, Varghese Alex, Ganapathy Krishnamurthi. Classification of Breast Cancer and Grading of Diabetic Retinopathy & Macular Edema using Ensemble of Pre-trained Convolutional Neural Networks. , 2017.
(.pdf) (abstract)
Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori, Ganapathy Krishnamurthi. 2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.
(.pdf) (abstract)

2016

Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan. Enhanced Image Classification With Data Augmentation Using Position Coordinates. , 2016.
(.pdf) (abstract)