Krishna Chaitanya

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 30

Top Topics

Lifelong Learning

Density Estimation

Top Venues

Medical Image Anal.

Publications

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. Medical Image Anal. 87 (2023)
Islam Torky, Simon Ruth, Shashi Sharma, Mohamed Salama, Krishna Chaitanya, Tim Gollub, Johannes Kiesel, Benno Stein
Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification. ArgMining@EMNLP (2023)
Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
Explicitly Minimizing the Blur Error of Variational Autoencoders. CoRR (2023)
Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
Explicitly Minimizing the Blur Error of Variational Autoencoders. ICLR (2023)
Neerav Karani, Georg Brunner, Ertunc Erdil, Simin Fei, Kerem Can Tezcan, Krishna Chaitanya, Ender Konukoglu
A Field of Experts Prior for Adapting Neural Networks at Test Time. CoRR (2022)
Krishna Chaitanya, Chloé Audigier, Laura Elena Balascuta, Tommaso Mansi
Automatic planning of liver tumor thermal ablation using deep reinforcement learning. MIDL (2022)
Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze
Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. MICCAI (2) (2021)
Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
Test-time adaptable neural networks for robust medical image segmentation. Medical Image Anal. 68 (2021)
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. CoRR (2021)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised task-driven data augmentation for medical image segmentation. Medical Image Anal. 68 (2021)
Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. MLMI@MICCAI (2021)
Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. CoRR (2021)
Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. UNSURE/PIPPI@MICCAI (2021)
Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Liu, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations. CoRR (2021)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation. CoRR (2020)
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Contrastive learning of global and local features for medical image segmentation with limited annotations. NeurIPS (2020)
Pooja Singh, Krishna Chaitanya, Sonali, Abhishek Dixit, Virander Kumar Jain
Study of Performance Enhancement in Underwater Optical Wireless Communication System. IEEE ANTS (2020)
Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
Unsupervised out-of-distribution detection using kernel density estimation. CoRR (2020)
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Contrastive learning of global and local features for medical image segmentation with limited annotations. CoRR (2020)
Neerav Karani, Krishna Chaitanya, Ender Konukoglu
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. CoRR (2020)
Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. MICCAI (2) (2019)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu
Semi-Supervised and Task-Driven Data Augmentation. CoRR (2019)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised and Task-Driven Data Augmentation. IPMI (2019)
Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. CoRR (2019)
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
Learning to Segment Medical Images with Scribble-Supervision Alone. CoRR (2018)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. MICCAI (1) (2018)
Timon Elmer, Krishna Chaitanya, Prateek Purwar, Christoph Stadtfeld
The validity of RFID badges measuring face-to-face interactions. CoRR (2018)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. CoRR (2018)
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
Learning to Segment Medical Images with Scribble-Supervision Alone. DLMIA/ML-CDS@MICCAI (2018)
Akash Agrawall, Krishna Chaitanya, Arnav Kumar Agrawal, Venkatesh Choppella
Mitigating Browser-based DDoS Attacks using CORP. ISEC (2017)
Gourinath Banda, Krishna Chaitanya, Harsh Mohan
An IoT Protocol and Framework for OEMs to Make IoT-Enabled Devices forward Compatible. SITIS (2015)
C. Sudeep Reddy, Harshita Nanduri, P. D. S. R. Sandeep, Krishna Chaitanya, K. S. Rajan
GEO-News: A Geo-Hierarchy based News Search and Extraction. NTCIR (2010)
Krishna Chaitanya, Rohit Sinha
Energy and entropy based switching algorithm for speech endpoint detection in varying SNR conditions. INTERSPEECH (2008)