Krishna Chaitanya
Krishna Chaitanya
Verified email at vision.ee.ethz.ch - Homepage
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Cited by
Cited by
Year
Semi-supervised and Task-Driven Data Augmentation
K Chaitanya, N Karani, CF Baumgartner, A Becker, O Donati, ...
International Conference on Information Processing in Medical Imaging, 29-41, 2019
772019
Phiseg: Capturing uncertainty in medical image segmentation
CF Baumgartner, KC Tezcan, K Chaitanya, AM Hötker, UJ Muehlematter, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
722019
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols
N Karani, K Chaitanya, C Baumgartner, E Konukoglu
arXiv preprint arXiv:1805.10170, 2018
662018
Contrastive learning of global and local features for medical image segmentation with limited annotations
K Chaitanya, E Erdil, N Karani, E Konukoglu
Advances in Neural Information Processing Systems 33, 2020
552020
Learning to Segment Medical Images with Scribble-Supervision Alone
YB Can, K Chaitanya, B Mustafa, LM Koch, E Konukoglu, ...
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
362018
The validity of RFID badges measuring face-to-face interactions
T Elmer, K Chaitanya, P Purwar, C Stadtfeld
Behavior research methods 51 (5), 2120-2138, 2019
302019
Test-time adaptable neural networks for robust medical image segmentation
N Karani, E Erdil, K Chaitanya, E Konukoglu
Medical Image Analysis 68, 101907, 2021
192021
Variability of manual segmentation of the prostate in axial T2-weighted MRI: A multi-reader study
AS Becker, K Chaitanya, K Schawkat, UJ Muehlematter, AM Hötker, ...
European journal of radiology 121, 108716, 2019
172019
Semi-supervised task-driven data augmentation for medical image segmentation
K Chaitanya, N Karani, CF Baumgartner, E Erdil, A Becker, O Donati, ...
Medical Image Analysis 68, 101934, 2021
102021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
H Li, FF Xue, K Chaitanya, S Liu, I Ezhov, B Wiestler, J Zhang, B Menze
arXiv preprint arXiv:2103.04167, 2021
22021
Unsupervised out-of-distribution detection using kernel density estimation
E Erdil, K Chaitanya, E Konukoglu
arXiv preprint arXiv:2006.10712, 2020
12020
Task-agnostic out-of-distribution detection using kernel density estimation
E Erdil, K Chaitanya, N Karani, E Konukoglu
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021
2021
Whole-body Composition Profiling Using a Deep Learning Algorithm: Influence of Different Acquisition Parameters on Algorithm Performance and Robustness.
FA Huber, K Chaitanya, N Gross, SR Chinnareddy, F Gross, E Konukoglu, ...
Investigative Radiology, 2021
2021
Robust medical image segmentation by adapting neural networks for each test image
N Karani, E Erdil, K Chaitanya, E Konukoglu
2021
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
A Perakis, A Gorji, S Jain, K Chaitanya, S Rizza, E Konukoglu
arXiv preprint arXiv:2103.16670, 2021
2021
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018
N Karani, K Chaitanya, C Baumgartner, E Konukoglu
2018
Contrastive learning of global and local features for medical image segmentation with limited annotations Download PDF
K Chaitanya, E Erdil, N Karani, E Konukoglu
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