405 citations · 993 across the 35 of their papers we have counts for
5 papers · 1 filter
Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping
Sharib Ali, Jens Rittscher
Recent successes in deep learning based deformable image registration (DIR) methods have demonstrated that complex deformation can be learnt directly from data while reducing compu…
Ink removal from histopathology whole slide images by combining classification, detection and image generation models
Sharib Ali, Nasullah Khalid Alham, Clare Verrill +1
Histopathology slides are routinely marked by pathologists using permanent ink markers that should not be removed as they form part of the medical record. Often tumour regions are…
Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract
Sharib Ali, Jens Rittscher
Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical treatment. While the endoscopy video contains a wealth of information, tools to cap…
Endoscopy artifact detection (EAD 2019) challenge dataset
Sharib Ali, Felix Zhou, Christian Daul +9
Endoscopic artifacts are a core challenge in facilitating the diagnosis and treatment of diseases in hollow organs. Precise detection of specific artifacts like pixel saturations,…
A deep learning framework for quality assessment and restoration in video endoscopy
Sharib Ali, Felix Zhou, Adam Bailey +4
Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical treatment. Artifacts such as motion blur, bubbles, specular reflections, floating o…