Neerav Karani

According to our database, Neerav Karani authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound.

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

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu

Medical Image Anal., 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.

Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

CoRR, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.

Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study.

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

Proceedings of the Applications of Medical Artificial Intelligence, 2023

Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks.

Neerav Karani, Neel Dey, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior.

Kerem Can Tezcan, Neerav Karani, Christian F. Baumgartner, Ender Konukoglu

IEEE Trans. Medical Imaging, 2022

A Field of Experts Prior for Adapting Neural Networks at Test Time.

Neerav Karani, Georg Brunner, Ertunc Erdil, Simin Fei, Kerem Can Tezcan, Krishna Chaitanya, Ender Konukoglu

CoRR, 2022

2021

Test-time adaptable neural networks for robust medical image segmentation.

Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu

Medical Image Anal., 2021

Semi-supervised task-driven data augmentation for medical image segmentation.

Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu

Medical Image Anal., 2021

Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation.

Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation.

Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu

CoRR, 2020

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation.

Neerav Karani, Krishna Chaitanya, Ender Konukoglu

CoRR, 2020

Contrastive learning of global and local features for medical image segmentation with limited annotations.

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE.

Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

An image interpolation approach for acquisition time reduction in navigator-based 4D MRI.

Neerav Karani, Lin Zhang, Christine Tanner, Ender Konukoglu

Medical Image Anal., 2019

Semi-supervised and Task-Driven Data Augmentation.

Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks.

Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu

IEEE Trans. Medical Imaging, 2018

Temporal Interpolation via Motion Field Prediction.

Lin Zhang, Neerav Karani, Christine Tanner, Ender Konukoglu

CoRR, 2018

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols.

Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Interactive segmentation in MRI for orthopedic surgery planning: bone tissue.

Firat Özdemir, Neerav Karani, Philipp Fürnstahl, Orcun Goksel

Int. J. Comput. Assist. Radiol. Surg., 2017

Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing.

Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017