Krishna Chaitanya

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Ender KonukogluETH ZurichDirección de correo verificada de vision.ee.ethz.ch
Neerav KaraniPostdoc, MIT CSAILDirección de correo verificada de csail.mit.edu
Ertunc ErdilPostdoctoral Researcher, Computer Vision Laboratory, ETH ZurichDirección de correo verificada de vision.ee.ethz.ch
Christian F. BaumgartnerUniversity of Tübingen & University of LucerneDirección de correo verificada de uni-tuebingen.de
Anton S Becker, MD, PhDAssistant Professor of Radiology, NYU Langone HealthDirección de correo verificada de nyulangone.org
Olivio DonatiUniversity Hospital ZurichDirección de correo verificada de usz.ch
Khoschy Schawkat, MD, PhDHarvard Medical SchoolDirección de correo verificada de bwh.harvard.edu
Urs Jacob MuehlematterRadiologist, Nuclear medicine physician, University Hospital of Zurich, SwitzerlandDirección de correo verificada de usz.ch
Kerem TezcanResearcher, ETH ZürichDirección de correo verificada de vision.ee.ethz.ch
Tommaso MansiJohnson and JohnsonDirección de correo verificada de tmansi.net
Lisa Margret KochUniversity of Bern and University of TübingenDirección de correo verificada de unibe.ch
Yigit Baran CanBilkent University, ETH ZürichDirección de correo verificada de vision.ee.ethz.ch
Basil MustafaGoogle DeepmindDirección de correo verificada de google.com
Christoph StadtfeldAssociate Professor of Social Networks, ETH ZurichDirección de correo verificada de ethz.ch
Timon ElmerPostdoc, Department of Psychology, University of ZurichDirección de correo verificada de uzh.ch
Bjoern H MenzeUniversität ZürichDirección de correo verificada de uzh.ch
Ivan EzhovTechnical University of MunichDirección de correo verificada de tum.de
Hongwei Bran LiMartinos Center, MGH/Harvard Medical SchoolDirección de correo verificada de mgh.harvard.edu
Bene WiestlerAI for Image-Guided Diagnosis and Therapy, TUMDirección de correo verificada de tum.de
Jianguo ZhangProfessor, Southern University of Science and TechnologyDirección de correo verificada de sustech.edu.cn

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Krishna Chaitanya

Senior Data Scientist at Janssen R&D| Postdoc & Ph.D. & M.Sc. at ETH Zurich | B.E. at BITS-Pilani

Dirección de correo verificada de its.jnj.com - Página principal

Medical Image Analysis Machine Learning Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	567	2020
Phiseg: Capturing uncertainty in medical image segmentation CF Baumgartner, KC Tezcan, K Chaitanya, AM Hötker, UJ Muehlematter, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	236	2019
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	180	2019
Test-time adaptable neural networks for robust medical image segmentation N Karani, E Erdil, K Chaitanya, E Konukoglu Medical Image Analysis 68, 101907, 2021	179	2021
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	146	2018
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation K Chaitanya, E Erdil, N Karani, E Konukoglu Medical Image Analysis 87, 102792, 2023	127	2023
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	124	2021
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	113	2018
The validity of RFID badges measuring face-to-face interactions T Elmer, K Chaitanya, P Purwar, C Stadtfeld Behavior research methods 51, 2120-2138, 2019	73	2019
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	65	2019
Contrastive learning of single-cell phenotypic representations for treatment classification A Perakis, A Gorji, S Jain, K Chaitanya, S Rizza, E Konukoglu Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021	35	2021
Imbalance-aware self-supervised learning for 3d radiomic representations H Li, FF Xue, K Chaitanya, S Luo, I Ezhov, B Wiestler, J Zhang, B Menze Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	31	2021
Explicitly Minimizing the Blur Error of Variational Autoencoders G Bredell, K Flouris, K Chaitanya, E Erdil, E Konukoglu In International Conference on Learning Representations, ICLR 2023, 2023	19	2023
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 57 (1), 33-43, 2022	14	2022
Automatic planning of liver tumor thermal ablation using deep reinforcement learning K Chaitanya, C Audigier, LE Balascuta, T Mansi International Conference on Medical Imaging with Deep Learning, 219-230, 2022	7	2022
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	6	2021
Unsupervised out-of-distribution detection using kernel density estimation E Erdil, K Chaitanya, E Konukoglu arXiv preprint arXiv:2006.10712, 2020	5	2020
A Field of Experts Prior for Adapting Neural Networks at Test Time N Karani, G Brunner, E Erdil, S Fei, K Tezcan, K Chaitanya, E Konukoglu arXiv preprint arXiv:2202.05271, 2022	3	2022
Accurate Medical Image Segmentation with Limited Annotations K Chaitanya ETH Zurich, 2022	1	2022
Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos K Chaitanya, PF Damasceno, S Fadnavis, P Mobadersany, C Parmar, ... International Workshop on Machine Learning in Medical Imaging, 201-211, 2024		2024

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