58 citations · 175 across the 25 of their papers we have counts for
5 papers · 1 filter
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning
Tariq M. Khan, Syed S. Naqvi, Antonio Robles-Kelly +1
Timely and affordable computer-aided diagnosis of retinal diseases is pivotal in precluding blindness. Accurate retinal vessel segmentation plays an important role in disease progr…
DGD-cGAN: A Dual Generator for Image Dewatering and Restoration
Salma Gonzalez-Sabbagh, Antonio Robles-Kelly, Shang Gao
Underwater images are usually covered with a blue-greenish colour cast, making them distorted, blurry or low in contrast. This phenomenon occurs due to the light attenuation given…
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation
Tariq M. Khan, Muhammad Arsalan, Antonio Robles-Kelly +1
Image segmentation is an important task in medical imaging. It constitutes the backbone of a wide variety of clinical diagnostic methods, treatments, and computer-aided surgeries.…
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation
Tariq M Khan, Antonio Robles-Kelly, Syed S. Naqvi
Over recent years, increasingly complex approaches based on sophisticated convolutional neural network architectures have been slowly pushing performance on well-established benchm…
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network
Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin +2
This paper introduces a novel method to simultaneously super-resolve and colour-predict images acquired by snapshot mosaic sensors. These sensors allow for spectral images to be ac…