Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map. - Bhadra S. Kumar; Avinash Kori; Sundari Elango; V. Srinivasa Chakravarthy (ICONIP (2), 2018)

A Combined Radio-Histological Approach for Classification of Low Grade Gliomas. - Aditya Bagari; Ashish Kumar 004; Avinash Kori; Mahendra Khened; Ganapathy Krishnamurthi (BrainLes@MICCAI (1), 2018)

Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images. - Avinash Kori; Mehul Soni; B. Pranjal; Mahendra Khened; Alex Varghese; Ganapathy Krishnamurthi (BrainLes@MICCAI (2), 2018)

2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. - Krishna Chaitanya Kaluva; Mahendra Khened; Avinash Kori; Ganapathy Krishnamurthi (CoRR, 2018)

Enhanced Image Classification With Data Augmentation Using Position Coordinates. - Avinash Kori; Ganapathy Krishnamurthi; Balaji Srinivasan (CoRR, 2018)

Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema. - Avinash Kori; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese (CoRR, 2018)

Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs. - Vismay Agrawal; Avinash Kori; Alex Varghese; Ganapathy Krishnamurthi (CoRR, 2018)

Zero Shot Learning for Multi-Modal Real Time Image Registration. - Avinash Kori; Ganapathi Krishnamurthi (CoRR, 2019)

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis. - Parth Natekar; Avinash Kori; Ganapathy Krishnamurthi (CoRR, 2019)

Dynamic Regularizer with an Informative Prior. - Avinash Kori; Manik Sharma (CoRR, 2019)

Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture. - Vikas Kumar Anand; Sanjeev Grampurohit; Pranav Aurangabadkar; Avinash Kori; Mahendra Khened; Raghavendra S. Bhat; Ganapathy Krishnamurthi (BrainLes@MICCAI (2), 2020)

A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. - Mahendra Khened; Avinash Kori; Haran Rajkumar; Balaji Srinivasan; Ganapathy Krishnamurthi (CoRR, 2020)

2018 Robotic Scene Segmentation Challenge. - Max Allan; Satoshi Kondo; Sebastian Bodenstedt; Stefan Leger; Rahim Kadkhodamohammadi; Imanol Luengo; Félix Fuentes-Hurtado; Evangello Flouty; Ahmed Kedir Mohammed; Marius Pedersen; Avinash Kori; Alex Varghese; et al. (CoRR, 2020)

Structurally aware bidirectional unpaired image to image translation between CT and MR. - Vismay Agrawal; Avinash Kori; Vikas Kumar Anand; Ganapathy Krishnamurthi (CoRR, 2020)

Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability. - Avinash Kori; Parth Natekar; Ganapathy Krishnamurthi; Balaji Srinivasan (CoRR, 2020)

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. - Parth Natekar; Avinash Kori; Ganapathy Krishnamurthi (Frontiers Comput. Neurosci., 2020)

Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. - Parth Natekar; Avinash Kori; Ganapathy Krishnamurthi (Frontiers Comput. Neurosci., 2021)

Vector Quantisation for Robust Segmentation. - Ainkaran Santhirasekaram; Avinash Kori; Mathias Winkler; Andrea G. Rockall; Ben Glocker (MICCAI (4), 2022)

Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. - Ainkaran Santhirasekaram; Avinash Kori; Andrea G. Rockall; Mathias Winkler; Francesca Toni; Ben Glocker (CoRR, 2022)

GLANCE: Global to Local Architecture-Neutral Concept-based Explanations. - Avinash Kori; Ben Glocker; Francesca Toni (CoRR, 2022)

Visual Debates. - Avinash Kori; Ben Glocker; Francesca Toni (CoRR, 2022)

Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification. - Ainkaran Santhirasekaram; Avinash Kori; Mathias Winkler; Andrea G. Rockall; Francesca Toni; Ben Glocker (CVPR Workshops, 2023)

A Causal Ordering Prior for Unsupervised Representation Learning. - Avinash Kori; Pedro Sanchez; Konstantinos Vilouras; Ben Glocker; Sotirios A. Tsaftaris (CoRR, 2023)

Unsupervised Conditional Slot Attention for Object Centric Learning. - Avinash Kori; Francesco Locatello; Francesca Toni; Ben Glocker (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Explaining Image Classifiers with Visual Debates. - Avinash Kori; Ben Glocker; Francesca Toni (DS (2), 2024)

Grounded Object-Centric Learning. - Avinash Kori; Francesco Locatello; Fabio De Sousa Ribeiro; Francesca Toni; Ben Glocker (ICLR, 2024)

Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. - Avinash Kori; Francesco Locatello; Ainkaran Santhirasekaram; Francesca Toni; Ben Glocker; Fabio De Sousa Ribeiro (NeurIPS, 2024)

Continuous Bayesian Model Selection for Multivariate Causal Discovery. - Anish Dhir; Ruby Sedgwick; Avinash Kori; Ben Glocker; Mark van der Wilk (CoRR, 2024)

Free Argumentative Exchanges for Explaining Image Classifiers. - Avinash Kori; Antonio Rago 001; Francesca Toni (AAMAS, 2025)

Explainable Reinforcement Learning for Formula One Race Strategy. - Devin Thomas; Junqi Jiang; Avinash Kori; Aaron Russo; Steffen Winkler; Stuart Sale; Joseph McMillan; Francesco Belardinelli; Antonio Rago 001 (SAC, 2025)

Identifiable Object Representations under Spatial Ambiguities. - Avinash Kori; Francesca Toni; Ben Glocker (CoRR, 2025)

Diffusion Counterfactual Generation with Semantic Abduction. - Rajat Rasal; Avinash Kori; Fabio De Sousa Ribeiro; Tian Xia; Ben Glocker (CoRR, 2025)

Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models. - Tian Xia; Fabio De Sousa Ribeiro; Rajat Rasal; Avinash Kori; Raghav Mehta; Ben Glocker (CoRR, 2025)

Object-Centric Neuro-Argumentative Learning. - Abdul Rahman Jacob; Avinash Kori; Emanuele De Angelis; Ben Glocker; Maurizio Proietti; Francesca Toni (CoRR, 2025)

Causal Representation Learning with Observational Grouping for CXR Classification. - Rajat Rasal; Avinash Kori; Ben Glocker (CoRR, 2025)

Flow Stochastic Segmentation Networks. - Fabio De Sousa Ribeiro; Omar Todd; Charles Jones; Avinash Kori; Raghav Mehta; Ben Glocker (CoRR, 2025)