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ORCIDAvinash Kori
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2020 – today
- 2024
[c7]Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker:
Grounded Object-Centric Learning. ICLR 2024- [i19]Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro:
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. CoRR abs/2406.07141 (2024) - 2023
- [j3]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: 102680 (2023) - [c6]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: 561-570 - [i18]Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris:
A Causal Ordering Prior for Unsupervised Representation Learning. CoRR abs/2307.05704 (2023) - [i17]Avinash Kori, Francesco Locatello, Francesca Toni, Ben Glocker:
Unsupervised Conditional Slot Attention for Object Centric Learning. CoRR abs/2307.09437 (2023) - 2022
- [c5]Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Vector Quantisation for Robust Segmentation. MICCAI (4) 2022: 663-672 - [i16]Ainkaran Santhirasekaram, Avinash Kori, Andrea G. Rockall, Mathias Winkler, Francesca Toni, Ben Glocker:
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. CoRR abs/2207.01916 (2022) - [i15]Avinash Kori, Ben Glocker, Francesca Toni:
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations. CoRR abs/2207.01917 (2022) - [i14]Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Vector Quantisation for Robust Segmentation. CoRR abs/2207.01919 (2022) - [i13]Avinash Kori, Ben Glocker, Francesca Toni:
Visual Debates. CoRR abs/2210.09015 (2022) - 2021
- [j2]Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi:
Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. 15: 651959 (2021) - [i12]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 abs/2101.01546 (2021) - 2020
- [j1]Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi:
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. 14: 6 (2020) - [c4]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: 310-319 - [i11]Mahendra Khened, Avinash Kori, Haran Rajkumar, Balaji Srinivasan, Ganapathy Krishnamurthi:
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. CoRR abs/2001.00258 (2020) - [i10]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 abs/2001.11190 (2020) - [i9]Vismay Agrawal, Avinash Kori, Vikas Kumar Anand, Ganapathy Krishnamurthi:
Structurally aware bidirectional unpaired image to image translation between CT and MR. CoRR abs/2006.03374 (2020) - [i8]Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan:
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability. CoRR abs/2008.06457 (2020)
2010 – 2019
- 2019
- [i7]Avinash Kori, Ganapathi Krishnamurthi:
Zero Shot Learning for Multi-Modal Real Time Image Registration. CoRR abs/1908.06213 (2019) - [i6]Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi:
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis. CoRR abs/1909.01498 (2019) - [i5]Avinash Kori, Manik Sharma:
Dynamic Regularizer with an Informative Prior. CoRR abs/1910.14241 (2019) - 2018
- [c3]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: 215-226 - [c2]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: 416-427 - [c1]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: 485-496 - [i4]Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori, Ganapathy Krishnamurthi:
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. CoRR abs/1802.02182 (2018) - [i3]Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan:
Enhanced Image Classification With Data Augmentation Using Position Coordinates. CoRR abs/1802.02183 (2018) - [i2]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 abs/1809.04228 (2018) - [i1]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 abs/1809.05216 (2018)
Coauthor Index
aka: Ganapathi Krishnamurthi
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