Krishna Chaitanya

40 papers A* 2A 1Journal 19Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos. UNSURE@MICCAI Damola Agbelese, Krishna Chaitanya, Pushpak Pati, Chaitanya Parmar, Pooya Mobadersany, Shreyas Fadnavis, Lindsey Surace, Shadi Yarandi, Louis Ghanem, Molly V. Lucas, Tommaso Mansi, Gabriela Oana Cula, Pablo F. Damasceno, Kristopher Standish
2025	J	`jnl`	MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos. CoRR Damola Agbelese, Krishna Chaitanya, Pushpak Pati, Chaitanya Parmar, Pooya Mobadersany, Shreyas Fadnavis, Lindsey Surace, Shadi Yarandi, Louis Ghanem, Molly V. Lucas, Tommaso Mansi, Gabriela Oana Cula, Pablo F. Damasceno, Kristopher Standish
2025	—	`conf`	MoMIL: Mixture of Multi-instance Learners for Modeling Multiple Compound Activities in High Content Imaging. MICCAI (13) Pushpak Pati, Hsiu-Chi Cheng, Steffen Jaensch, Walid M. Abdelmoula, Krishna Chaitanya, Michiel Van Dyck, Tomé Albuquerque, Samantha Allen, Litao Zhang, Tommaso Mansi, Rui Liao, Zhoubing Xu
2024	—	`conf`	Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos. MLMI@MICCAI (2) Krishna Chaitanya, Pablo F. Damasceno, Shreyas Fadnavis, Pooya Mobadersany, Chaitanya Parmar, Emily Scherer, Natalia Zemlianskaia, Lindsey Surace, Louis Ghanem, Gabriela Oana Cula, Tommaso Mansi, Kristopher Standish
2024	J	`jnl`	Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos. CoRR Krishna Chaitanya, Pablo F. Damasceno, Shreyas Fadnavis, Pooya Mobadersany, Chaitanya Parmar, Emily Scherer, Natalia Zemlianskaia, Lindsey Surace, Louis Ghanem, Gabriela Oana Cula, Tommaso Mansi, Kristopher Standish
2024	—	`conf`	Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos. MICCAI (6) Pooya Mobadersany, Chaitanya Parmar, Pablo F. Damasceno, Shreyas Fadnavis, Krishna Chaitanya, Shilong Li, Evan Schwab, Jaclyn Xiao, Lindsey Surace, Tommaso Mansi, Gabriela Oana Cula, Louis Ghanem, Kristopher Standish
2023	A*	`conf`	Explicitly Minimizing the Blur Error of Variational Autoencoders. ICLR Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
2023	J	`jnl`	Explicitly Minimizing the Blur Error of Variational Autoencoders. CoRR Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
2023	J	`jnl`	Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. Medical Image Anal. Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
2023	—	`conf`	Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification. ArgMining@EMNLP Islam Torky, Simon Ruth, Shashi Sharma, Mohamed Salama, Krishna Chaitanya, Tim Gollub, Johannes Kiesel, Benno Stein
2022	J	`jnl`	A Field of Experts Prior for Adapting Neural Networks at Test Time. CoRR Neerav Karani, Georg Brunner, Ertunc Erdil, Simin Fei, Kerem Can Tezcan, Krishna Chaitanya, Ender Konukoglu
2022	—	`—`	Accurate Medical Image Segmentation with Limited Annotations. Krishna Chaitanya
2022	—	`conf`	Automatic planning of liver tumor thermal ablation using deep reinforcement learning. MIDL Krishna Chaitanya, Chloé Audigier, Laura Elena Balascuta, Tommaso Mansi
2021	—	`conf`	Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. MLMI@MICCAI Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu
2021	J	`jnl`	Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. CoRR Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu
2021	J	`jnl`	Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations. CoRR Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Liu, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze
2021	—	`conf`	Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. MICCAI (2) Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze
2021	J	`jnl`	Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. CoRR Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
2021	J	`jnl`	Semi-supervised task-driven data augmentation for medical image segmentation. Medical Image Anal. Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu
2021	—	`conf`	Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. UNSURE/PIPPI@MICCAI Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu
2021	J	`jnl`	Test-time adaptable neural networks for robust medical image segmentation. Medical Image Anal. Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
2020	A*	`conf`	Contrastive learning of global and local features for medical image segmentation with limited annotations. NeurIPS Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
2020	J	`jnl`	Contrastive learning of global and local features for medical image segmentation with limited annotations. CoRR Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
2020	J	`jnl`	Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation. CoRR Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
2020	—	`conf`	Study of Performance Enhancement in Underwater Optical Wireless Communication System. IEEE ANTS Pooja Singh, Krishna Chaitanya, Sonali, Abhishek Dixit, Virander Kumar Jain
2020	J	`jnl`	Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. CoRR Neerav Karani, Krishna Chaitanya, Ender Konukoglu
2020	J	`jnl`	Unsupervised out-of-distribution detection using kernel density estimation. CoRR Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
2019	—	`conf`	PHiSeg: Capturing Uncertainty in Medical Image Segmentation. MICCAI (2) Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
2019	J	`jnl`	PHiSeg: Capturing Uncertainty in Medical Image Segmentation. CoRR Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
2019	J	`jnl`	Semi-Supervised and Task-Driven Data Augmentation. CoRR Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu
2019	—	`conf`	Semi-supervised and Task-Driven Data Augmentation. IPMI Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
2018	—	`conf`	A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. MICCAI (1) Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
2018	J	`jnl`	A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. CoRR Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
2018	—	`conf`	Learning to Segment Medical Images with Scribble-Supervision Alone. DLMIA/ML-CDS@MICCAI Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
2018	J	`jnl`	Learning to Segment Medical Images with Scribble-Supervision Alone. CoRR Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
2018	J	`jnl`	The validity of RFID badges measuring face-to-face interactions. CoRR Timon Elmer, Krishna Chaitanya, Prateek Purwar, Christoph Stadtfeld
2017	—	`conf`	Mitigating Browser-based DDoS Attacks using CORP. ISEC Akash Agrawall, Krishna Chaitanya, Arnav Kumar Agrawal, Venkatesh Choppella
2015	—	`conf`	An IoT Protocol and Framework for OEMs to Make IoT-Enabled Devices forward Compatible. SITIS Gourinath Banda, Krishna Chaitanya, Harsh Mohan
2010	—	`conf`	GEO-News: A Geo-Hierarchy based News Search and Extraction. NTCIR C. Sudeep Reddy, Harshita Nanduri, P. D. S. R. Sandeep, Krishna Chaitanya, K. S. Rajan
2008	A	`conf`	Energy and entropy based switching algorithm for speech endpoint detection in varying SNR conditions. INTERSPEECH Krishna Chaitanya, Rohit Sinha