Avinash Kori

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Robust Segmentation

Magnetic Resonance Images

Tumor Segmentation

Top Venues

BrainLes@MICCAI (2)

Frontiers Comput. Neurosci.

Medical Image Anal.

Publications

Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker
Grounded Object-Centric Learning. ICLR (2024)
Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. CoRR (2024)
Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris
A Causal Ordering Prior for Unsupervised Representation Learning. CoRR (2023)
Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Francesca Toni, Ben Glocker
Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification. CVPR Workshops (2023)
Avinash Kori, Francesco Locatello, Francesca Toni, Ben Glocker
Unsupervised Conditional Slot Attention for Object Centric Learning. CoRR (2023)
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
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker
Vector Quantisation for Robust Segmentation. CoRR (2022)
Avinash Kori, Ben Glocker, Francesca Toni
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations. CoRR (2022)
Avinash Kori, Ben Glocker, Francesca Toni
Visual Debates. CoRR (2022)
Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker
Vector Quantisation for Robust Segmentation. MICCAI (4) (2022)
Ainkaran Santhirasekaram, Avinash Kori, Andrea G. Rockall, Mathias Winkler, Francesca Toni, Ben Glocker
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. CoRR (2022)
Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture. CoRR (2021)
Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. 15 (2021)
Vismay Agrawal, Avinash Kori, Vikas Kumar Anand, Ganapathy Krishnamurthi
Structurally aware bidirectional unpaired image to image translation between CT and MR. CoRR (2020)
Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. 14 (2020)
Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability. CoRR (2020)
Mahendra Khened, Avinash Kori, Haran Rajkumar, Balaji Srinivasan, Ganapathy Krishnamurthi
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. CoRR (2020)
Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi
Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture. BrainLes@MICCAI (2) (2020)
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
2018 Robotic Scene Segmentation Challenge. CoRR (2020)
Avinash Kori, Ganapathi Krishnamurthi
Zero Shot Learning for Multi-Modal Real Time Image Registration. CoRR (2019)
Avinash Kori, Manik Sharma
Dynamic Regularizer with an Informative Prior. CoRR (2019)
Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis. CoRR (2019)
Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori, Ganapathy Krishnamurthi
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. CoRR (2018)
Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan
Enhanced Image Classification With Data Augmentation Using Position Coordinates. CoRR (2018)
Avinash Kori, Mehul Soni, B. Pranjal, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images. BrainLes@MICCAI (2) (2018)
Vismay Agrawal, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs. CoRR (2018)
Avinash Kori, Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese
Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema. CoRR (2018)
Aditya Bagari, Ashish Kumar, Avinash Kori, Mahendra Khened, Ganapathy Krishnamurthi
A Combined Radio-Histological Approach for Classification of Low Grade Gliomas. BrainLes@MICCAI (1) (2018)
Bhadra S. Kumar, Avinash Kori, Sundari Elango, V. Srinivasa Chakravarthy
Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map. ICONIP (2) (2018)