Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution

13 October 2017

Papers citing "Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution"

8 / 8 papers shown

Title
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis Dwarikanath Mahapatra GAN MedIm 16 0 0 16 Nov 2022
Improved Super Resolution of MR Images Using CNNs and Vision Transformers Dwarikanath Mahapatra SupR ViT MedIm 27 5 0 24 Jul 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification Dwarikanath Mahapatra MedIm 20 2 0 04 Apr 2022
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 30 8 0 15 Jun 2021
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao MedIm 16 46 0 05 Aug 2020
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,371 0 19 Sep 2018
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran M. Reyes GAN MedIm 25 176 0 14 Jun 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 231 5,176 0 16 Sep 2016