Neerav Karani

29 papers A* 1Journal 19Unranked 9
YearRankTypeTitle / Venue / Authors
2024 — conf
Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound.
MLMI@MICCAI (1)
Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood
2024 J jnl
Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound.
CoRR
Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood
2023 — conf
Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks.
MICCAI (3)
Neerav Karani, Neel Dey, Polina Golland
2023 J jnl
Boundary-weighted logit consistency improves calibration of segmentation networks.
CoRR
Neerav Karani, Neel Dey, Polina Golland
2023 — conf
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.
PIPPI@MICCAI
Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2023 J jnl
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.
CoRR
Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2023 — conf
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study.
AMAI@MICCAI
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 F. Syeda-Mahmood
2023 J jnl
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Medical Image Anal.
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
2022 J jnl
A Field of Experts Prior for Adapting Neural Networks at Test Time.
CoRR
Neerav Karani, Georg Brunner, Ertunc Erdil, Simin Fei, Kerem Can Tezcan, Krishna Chaitanya, Ender Konukoglu
2022 J jnl
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior.
IEEE Trans. Medical Imaging
Kerem Can Tezcan, Neerav Karani, Christian F. Baumgartner, Ender Konukoglu
2021 J jnl
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
CoRR
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
2021 J jnl
Semi-supervised task-driven data augmentation for medical image segmentation.
Medical Image Anal.
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu
2021 — conf
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation.
UNSURE/PIPPI@MICCAI
Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu
2021 J jnl
Test-time adaptable neural networks for robust medical image segmentation.
Medical Image Anal.
Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
2020 A* conf
Contrastive learning of global and local features for medical image segmentation with limited annotations.
NeurIPS
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
2020 J jnl
Contrastive learning of global and local features for medical image segmentation with limited annotations.
CoRR
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
2020 — conf
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE.
MICCAI (7)
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
2020 J jnl
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE.
CoRR
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
2020 J jnl
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation.
CoRR
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
2020 J jnl
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation.
CoRR
Neerav Karani, Krishna Chaitanya, Ender Konukoglu
2019 J jnl
An image interpolation approach for acquisition time reduction in navigator-based 4D MRI.
Medical Image Anal.
Neerav Karani, Lin Zhang, Christine Tanner, Ender Konukoglu
2019 J jnl
Semi-Supervised and Task-Driven Data Augmentation.
CoRR
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu
2019 — conf
Semi-supervised and Task-Driven Data Augmentation.
IPMI
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
2018 — conf
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols.
MICCAI (1)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
2018 J jnl
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols.
CoRR
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
2018 J jnl
Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging
Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu
2018 J jnl
Temporal Interpolation via Motion Field Prediction.
CoRR
Lin Zhang, Neerav Karani, Christine Tanner, Ender Konukoglu
2017 J jnl
Interactive segmentation in MRI for orthopedic surgery planning: bone tissue.
Int. J. Comput. Assist. Radiol. Surg.
Firat Özdemir, Neerav Karani, Philipp Fürnstahl, Orcun Goksel
2017 — conf
Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing.
MICCAI (2)
Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu