Avinash Kori

According to our database, Avinash Kori authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention.

Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro

CoRR, 2024

Grounded Object-Centric Learning.

Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

Unsupervised Conditional Slot Attention for Object Centric Learning.

Avinash Kori, Francesco Locatello, Francesca Toni, Ben Glocker

CoRR, 2023

A Causal Ordering Prior for Unsupervised Representation Learning.

Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris

CoRR, 2023

Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification.

Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Francesca Toni, Ben Glocker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Visual Debates.

Avinash Kori, Ben Glocker, Francesca Toni

CoRR, 2022

GLANCE: Global to Local Architecture-Neutral Concept-based Explanations.

Avinash Kori, Ben Glocker, Francesca Toni

CoRR, 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

Vector Quantisation for Robust Segmentation.

Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis.

Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi

Frontiers Comput. Neurosci., 2021

2020

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis.

Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi

Frontiers Comput. Neurosci., 2020

Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability.

Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan

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

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, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel

CoRR, 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

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Dynamic Regularizer with an Informative Prior.

Avinash Kori, Manik Sharma

CoRR, 2019

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis.

Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi

CoRR, 2019

Zero Shot Learning for Multi-Modal Real Time Image Registration.

Avinash Kori, Ganapathi Krishnamurthi

CoRR, 2019

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

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 Image Classification With Data Augmentation Using Position Coordinates.

Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan

CoRR, 2018

2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation.

Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori, Ganapathy Krishnamurthi

CoRR, 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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

A Combined Radio-Histological Approach for Classification of Low Grade Gliomas.

Aditya Bagari, Ashish Kumar, Avinash Kori, Mahendra Khened, Ganapathy Krishnamurthi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map.

Bhadra S. Kumar, Avinash Kori, Sundari Elango, V. Srinivasa Chakravarthy

Proceedings of the Neural Information Processing - 25th International Conference, 2018