Krishna Chaitanya

According to our database, Krishna Chaitanya authored at least 28 papers between 2008 and 2024.

Collaborative distances:

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

2024

Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos.

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

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu

Medical Image Anal., 2023

Explicitly Minimizing the Blur Error of Variational Autoencoders.

Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification.

Islam Torky, Simon Ruth, Shashi Sharma, Mohamed Salama, Krishna Chaitanya, Tim Gollub, Johannes Kiesel, Benno Stein

Proceedings of the 10th Workshop on Argument Mining, 2023

2022

Accurate Medical Image Segmentation with Limited Annotations.

Krishna Chaitanya

PhD thesis, 2022

A Field of Experts Prior for Adapting Neural Networks at Test Time.

Neerav Karani, Georg Brunner, Ertunc Erdil, Simin Fei, Kerem Can Tezcan, Krishna Chaitanya, Ender Konukoglu

CoRR, 2022

Automatic planning of liver tumor thermal ablation using deep reinforcement learning.

Krishna Chaitanya, Chloé Audigier, Laura Elena Balascuta, Tommaso Mansi

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Test-time adaptable neural networks for robust medical image segmentation.

Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu

Medical Image Anal., 2021

Semi-supervised task-driven data augmentation for medical image segmentation.

Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu

Medical Image Anal., 2021

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations.

Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Liu, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze

CoRR, 2021

Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification.

Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations.

Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation.

Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation.

Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu

CoRR, 2020

Unsupervised out-of-distribution detection using kernel density estimation.

Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu

CoRR, 2020

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation.

Neerav Karani, Krishna Chaitanya, Ender Konukoglu

CoRR, 2020

Contrastive learning of global and local features for medical image segmentation with limited annotations.

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Study of Performance Enhancement in Underwater Optical Wireless Communication System.

Pooja Singh, Krishna Chaitanya, Sonali, Abhishek Dixit, Virander Kumar Jain

Proceedings of the 14th IEEE International Conference on Advanced Networks and Telecommunications Systems, 2020

2019

PHiSeg: Capturing Uncertainty in Medical Image Segmentation.

Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-supervised and Task-Driven Data Augmentation.

Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu

Proceedings of the Information Processing in Medical Imaging, 2019

2018

The validity of RFID badges measuring face-to-face interactions.

Timon Elmer, Krishna Chaitanya, Prateek Purwar, Christoph Stadtfeld

CoRR, 2018

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols.

Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning to Segment Medical Images with Scribble-Supervision Alone.

Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2017

Mitigating Browser-based DDoS Attacks using CORP.

Akash Agrawall, Krishna Chaitanya, Arnav Kumar Agrawal, Venkatesh Choppella

Proceedings of the 10th Innovations in Software Engineering Conference, 2017

2015

An IoT Protocol and Framework for OEMs to Make IoT-Enabled Devices forward Compatible.

Gourinath Banda, Krishna Chaitanya, Harsh Mohan

Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

2010

GEO-News: A Geo-Hierarchy based News Search and Extraction.

C. Sudeep Reddy, Harshita Nanduri, P. D. S. R. Sandeep, Krishna Chaitanya, K. S. Rajan

Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2010

2008

Energy and entropy based switching algorithm for speech endpoint detection in varying SNR conditions.

Krishna Chaitanya, Rohit Sinha

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008