Neerav Karani | DeepAI

AI Chat

Featured Co-authors

Luc Van Gool
414 publications
Lin Zhang
88 publications
Ender Konukoglu
57 publications
Polina Golland
55 publications
Christian F. Baumgartner
18 publications
Krishna Chaitanya
14 publications
Neel Dey
14 publications
Ertunc Erdil
13 publications
Christine Tanner
8 publications
Anna Volokitin
6 publications
Xiaoran Chen
5 publications

∙ 07/16/2023

Boundary-weighted logit consistency improves calibration of segmentation networks

Neural network prediction probabilities and accuracy are often only weak...

0 Neerav Karani, et al. ∙

∙ 02/10/2022

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

Performance of convolutional neural networks (CNNs) in image analysis ta...

14 Neerav Karani, et al. ∙

∙ 12/17/2021

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

Supervised deep learning-based methods yield accurate results for medica...

6 Krishna Chaitanya, et al. ∙

∙ 07/09/2020

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

Supervised learning-based segmentation methods typically require a large...

53 Krishna Chaitanya, et al. ∙

∙ 07/09/2020

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

Probabilistic modelling has been an essential tool in medical image anal...

34 Anna Volokitin, et al. ∙

∙ 06/18/2020

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

A key requirement for the success of supervised deep learning is a large...

6 Krishna Chaitanya, et al. ∙

∙ 04/09/2020

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation

Convolutional Neural Networks (CNNs) work very well for supervised learn...

8 Neerav Karani, et al. ∙

∙ 02/11/2019

Semi-Supervised and Task-Driven Data Augmentation

Supervised deep learning methods for segmentation require large amounts ...

18 Krishna Chaitanya, et al. ∙

∙ 05/25/2018

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

Convolutional neural networks (CNNs) have shown promising results on sev...

0 Neerav Karani, et al. ∙

∙ 04/12/2018

Temporal Interpolation via Motion Field Prediction

Navigated 2D multi-slice dynamic Magnetic Resonance (MR) imaging enables...

0 Lin Zhang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world