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Neerav Karani
Neerav Karani
Postdoc, MIT CSAIL
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
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, 12546-12558, 2020
4492020
Semi-supervised and task-driven data augmentation
K Chaitanya, N Karani, CF Baumgartner, A Becker, O Donati, ...
Information Processing in Medical Imaging: 26th International Conference …, 2019
1592019
Test-time adaptable neural networks for robust medical image segmentation
N Karani, E Erdil, K Chaitanya, E Konukoglu
Medical Image Analysis 68, 101907, 2021
1412021
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols
N Karani, K Chaitanya, C Baumgartner, E Konukoglu
Medical Image Computing and Computer Assisted Intervention - {MICCAI} 2018 …, 2018
1232018
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
952021
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
622023
Modelling the distribution of 3D brain MRI using a 2D slice VAE
A Volokitin, E Erdil, N Karani, KC Tezcan, X Chen, L Van Gool, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
292020
Interactive segmentation in MRI for orthopedic surgery planning: bone tissue
F Ozdemir, N Karani, P Fürnstahl, O Goksel
International journal of computer assisted radiology and surgery 12, 1031-1039, 2017
92017
Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing
N Karani, C Tanner, S Kozerke, E Konukoglu
MICCAI 2017 2 (LNCS 10434), 359–367, 2017
72017
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
62021
An image interpolation approach for acquisition time reduction in navigator-based 4D MRI
N Karani, L Zhang, C Tanner, E Konukoglu
Medical image analysis 54, 20-29, 2019
62019
Reducing navigators in free-breathing abdominal MRI via temporal interpolation using convolutional neural networks
N Karani, C Tanner, S Kozerke, E Konukoglu
IEEE Transactions on Medical Imaging 37 (10), 2333-2343, 2018
62018
Temporal interpolation via motion field prediction
L Zhang, N Karani, C Tanner, E Konukoglu
arXiv preprint arXiv:1804.04440, 2018
62018
Sampling possible reconstructions of undersampled acquisitions in MR imaging with a deep learned prior
KC Tezcan, N Karani, CF Baumgartner, E Konukoglu
IEEE Transactions on Medical Imaging 41 (7), 1885-1896, 2022
52022
Contrastive learning of global and local features for medical image segmentation with limited annotations. arXiv 2020
K Chaitanya, E Erdil, N Karani, E Konukoglu
arXiv preprint arXiv:2006.10511, 0
5
Boundary-weighted logit consistency improves calibration of segmentation networks
N Karani, N Dey, P Golland
International Conference on Medical Image Computing and Computer-Assisted …, 2023
32023
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
32022
Sampling possible reconstructions of undersampled acquisitions in MR imaging
KC Tezcan, N Karani, CF Baumgartner, E Konukoglu
arXiv preprint arXiv:2010.00042, 2020
32020
Equivariant and Denoising CNNs to Decouple Intensity and Spatial Features for Motion Tracking in Fetal Brain MRI
B Billot, D Moyer, N Karani, M Hoffmann, EA Turk, E Grant, P Golland
Medical Imaging with Deep Learning, short paper track, 2023
12023
Tackling Distribution Shifts in Machine Learning-Based Medical Image Analysis
N Karani
ETH Zurich, 2022
12022
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