Energy and entropy based switching algorithm for speech endpoint detection in varying SNR conditions. - Krishna Chaitanya; Rohit Sinha 003 (INTERSPEECH, 2008)

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 (NTCIR, 2010)

An IoT Protocol and Framework for OEMs to Make IoT-Enabled Devices forward Compatible. - Gourinath Banda; Krishna Chaitanya; Harsh Mohan (SITIS, 2015)

Mitigating Browser-based DDoS Attacks using CORP. - Akash Agrawall; Krishna Chaitanya; Arnav Kumar Agrawal; Venkatesh Choppella (ISEC, 2017)

Learning to Segment Medical Images with Scribble-Supervision Alone. - Yigit Baran Can; Krishna Chaitanya; Basil Mustafa; Lisa M. Koch; Ender Konukoglu; Christian F. Baumgartner (DLMIA/ML-CDS@MICCAI, 2018)

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. - Neerav Karani; Krishna Chaitanya; Christian F. Baumgartner; Ender Konukoglu (MICCAI (1), 2018)

The validity of RFID badges measuring face-to-face interactions. - Timon Elmer; Krishna Chaitanya; Prateek Purwar; Christoph Stadtfeld (CoRR, 2018)

Semi-supervised and Task-Driven Data Augmentation. - Krishna Chaitanya; Neerav Karani; Christian F. Baumgartner; Anton S. Becker; Olivio Donati; Ender Konukoglu (IPMI, 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 (MICCAI (2), 2019)

Study of Performance Enhancement in Underwater Optical Wireless Communication System. - Pooja Singh; Krishna Chaitanya; Sonali; Abhishek Dixit 002; Virander Kumar Jain (IEEE ANTS, 2020)

Contrastive learning of global and local features for medical image segmentation with limited annotations. - Krishna Chaitanya; Ertunc Erdil; Neerav Karani; Ender Konukoglu (NeurIPS, 2020)

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. - Neerav Karani; Krishna Chaitanya; Ender Konukoglu (CoRR, 2020)

Unsupervised out-of-distribution detection using kernel density estimation. - Ertunc Erdil; Krishna Chaitanya; Ender Konukoglu (CoRR, 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)

Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. - Ertunc Erdil; Krishna Chaitanya; Neerav Karani; Ender Konukoglu (UNSURE/PIPPI@MICCAI, 2021)

Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. - Hongwei Li 004; Fei-Fei Xue; Krishna Chaitanya; Shengda Luo; Ivan Ezhov; Benedikt Wiestler; Jianguo Zhang 001; Bjoern H. Menze (MICCAI (2), 2021)

Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. - Alexis Perakis; Ali Gorji; Samriddhi Jain; Krishna Chaitanya; Simone Rizza; Ender Konukoglu (MLMI@MICCAI, 2021)

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations. - Hongwei Li 004; Fei-Fei Xue; Krishna Chaitanya; Shengda Liu; Ivan Ezhov; Benedikt Wiestler; Jianguo Zhang 001; Bjoern H. Menze (CoRR, 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)

Test-time adaptable neural networks for robust medical image segmentation. - Neerav Karani; Ertunc Erdil; Krishna Chaitanya; Ender Konukoglu (Medical Image Anal., 2021)

Automatic planning of liver tumor thermal ablation using deep reinforcement learning. - Krishna Chaitanya; Chloé Audigier; Laura Elena Balascuta; Tommaso Mansi (MIDL, 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)

Accurate Medical Image Segmentation with Limited Annotations. - Krishna Chaitanya (2022)

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 001 (ArgMining@EMNLP, 2023)

Explicitly Minimizing the Blur Error of Variational Autoencoders. - Gustav Bredell; Kyriakos Flouris; Krishna Chaitanya; Ertunc Erdil; Ender Konukoglu (ICLR, 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)

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; et al. (MICCAI (6), 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 (MLMI@MICCAI (2), 2024)