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Picture for Raghav Mehta

HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images

Apr 09, 2021
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel

* Accepted at Medical Imaging with Deep Learning (MIDL) 2021 

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Uncertainty Evaluation Metric for Brain Tumour Segmentation

May 28, 2020
Raghav Mehta, Angelos Filos, Yarin Gal, Tal Arbel

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RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours

Jul 28, 2018
Raghav Mehta, Tal Arbel

* Accepted at Workshop on Simulation and Synthesis in Medical Imaging - SASHIMI2018 held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018) 

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To Learn or Not to Learn Features for Deformable Registration?

Jul 06, 2018
Aabhas Majumdar, Raghav Mehta, Jayanthi Sivaswamy

* 9 pages, 4 figures 

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