Neerav Karani

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 27

Top Topics

Kernel Density Estimation

Medical Image Segmentation

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

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)
Satyananda Kashyap, Neerav Karani, Alexander Shang, Niharika Shimona D'Souza, Neel Dey, Lay Jain, Ray Wang, Hatice Akakin, Qian Li, Wenguang Li, Corydon Carlson, Polina Golland, Tanveer Syeda-Mahmood
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study. AMAI@MICCAI (2023)
Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. CoRR (2023)
Neerav Karani, Neel Dey, Polina Golland
Boundary-weighted logit consistency improves calibration of segmentation networks. CoRR (2023)
Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. PIPPI@MICCAI (2023)
Neerav Karani, Neel Dey, Polina Golland
Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks. MICCAI (3) (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)
Kerem Can Tezcan, Neerav Karani, Christian F. Baumgartner, Ender Konukoglu
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior. IEEE Trans. Medical Imaging 41 (7) (2022)
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)
Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. UNSURE/PIPPI@MICCAI (2021)
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE. CoRR (2020)
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)
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE. MICCAI (7) (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)
Neerav Karani, Lin Zhang, Christine Tanner, Ender Konukoglu
An image interpolation approach for acquisition time reduction in navigator-based 4D MRI. Medical Image Anal. 54 (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)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. MICCAI (1) (2018)
Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu
Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 37 (10) (2018)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. CoRR (2018)
Lin Zhang, Neerav Karani, Christine Tanner, Ender Konukoglu
Temporal Interpolation via Motion Field Prediction. CoRR (2018)
Firat Özdemir, Neerav Karani, Philipp Fürnstahl, Orcun Goksel
Interactive segmentation in MRI for orthopedic surgery planning: bone tissue. Int. J. Comput. Assist. Radiol. Surg. 12 (6) (2017)
Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu
Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing. MICCAI (2) (2017)