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

28 July 2018

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

6 / 6 papers shown

Title
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 26 12 0 06 Mar 2023
PVT: Point-Voxel Transformer for Point Cloud Learning Cheng Zhang Haocheng Wan Xinyi Shen Zizhao Wu 3DPC ViT 36 81 0 13 Aug 2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images Saverio Vadacchino Raghav Mehta N. Sepahvand Brennan Nichyporuk James J. Clark Tal Arbel MedIm 29 14 0 30 Mar 2021
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis Mahmut Yurt S. Dar Aykut Erdem Erkut Erdem Tolga Çukur MedIm 33 142 0 25 Sep 2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network Anmol Sharma Ghassan Hamarneh MedIm GAN 31 170 0 27 Apr 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015