Ali Armin
Ali Armin
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Automated visibility map of the internal colon surface from colonoscopy video
MA Armin, G Chetty, H De Visser, C Dumas, F Grimpen, O Salvado
International journal of computer assisted radiology and surgery 11 (9 …, 2016
Uninformative frame detection in colonoscopy through motion, edge and color features
MA Armin, G Chetty, F Jurgen, H De Visser, C Dumas, A Fazlollahi, ...
Computer-Assisted and Robotic Endoscopy, 153-162, 2015
Visibility map: A new method in evaluation quality of optical colonoscopy
MA Armin, H De Visser, G Chetty, C Dumas, D Conlan, F Grimpen, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015
Prediction of thickness and fouling rate in pulsating flow heat exchangers, using FLUENT simulator
N Saghatoleslami, MK Salooki, MA Armin
Korean journal of chemical engineering 27 (1), 96-103, 2010
Unsupervised Learning of Endoscopy Video Frames’ Correspondences from Global and Local Transformation
MA Armin, N Barnes, S Khan, M Liu, F Grimpen, O Salvado
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
Learning camera pose from optical colonoscopy frames through deep convolutional neural network (CNN)
MA Armin, N Barnes, J Alvarez, H Li, F Grimpen, O Salvado
Computer assisted and robotic endoscopy and clinical image-based procedures …, 2017
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network
M Shoeiby, L Petersson, A Armin, S Aliakbarian
The IEEE Winter Conference on Applications of Computer Vision, 2804-2813, 2020
Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface
MA Armin, N Barnes, F Grimpen, O Salvado
Healthcare Technology Letters 6 (6), 187-190, 2019
Image Registration via Geometrically Constrained Total Variation Optical Flow
M Shoeiby, MA Armin, A Robles-Kelly
2018 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2018
Automated visibility map from colonoscopy video to support clinical diagnosis and improve the quality of colonoscopy
MA Armin
University of Canberra, 2016
Mosaic Super-resolution via Sequential Feature Pyramid Networks
M Shoeiby, MA Armin, S Aliakbarian, S Anwar, L Petersson
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Artiklar 1–11