Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing. - Neerav Karani; Christine Tanner; Sebastian Kozerke; Ender Konukoglu (MICCAI (2), 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)

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. - Neerav Karani; Krishna Chaitanya; Christian F. Baumgartner; Ender Konukoglu (MICCAI (1), 2018)

Temporal Interpolation via Motion Field Prediction. - Lin Zhang 031; Neerav Karani; Christine Tanner; Ender Konukoglu (CoRR, 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)

Semi-supervised and Task-Driven Data Augmentation. - Krishna Chaitanya; Neerav Karani; Christian F. Baumgartner; Anton S. Becker; Olivio Donati; Ender Konukoglu (IPMI, 2019)

An image interpolation approach for acquisition time reduction in navigator-based 4D MRI. - Neerav Karani; Lin Zhang 031; Christine Tanner; Ender Konukoglu (Medical Image Anal., 2019)

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 (MICCAI (7), 2020)

Contrastive learning of global and local features for medical image segmentation with limited annotations. - Krishna Chaitanya; Ertunc Erdil; Neerav Karani; Ender Konukoglu (NeurIPS, 2020)

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. - Neerav Karani; Krishna Chaitanya; Ender Konukoglu (CoRR, 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)

Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. - Ertunc Erdil; Krishna Chaitanya; Neerav Karani; Ender Konukoglu (UNSURE/PIPPI@MICCAI, 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)

Test-time adaptable neural networks for robust medical image segmentation. - Neerav Karani; Ertunc Erdil; Krishna Chaitanya; Ender Konukoglu (Medical Image Anal., 2021)

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)

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)

Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks. - Neerav Karani; Neel Dey; Polina Golland (MICCAI (3), 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; et al. (AMAI@MICCAI, 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 (PIPPI@MICCAI, 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)

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)

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 (MLMI@MICCAI (1), 2024)