Noha Ghatwary
Noha Ghatwary
Arab Academy For Science, and Technology
Verified email at lincoln.ac.uk
Title
Cited by
Cited by
Year
Early esophageal adenocarcinoma detection using deep learning methods
N Ghatwary, M Zolgharni, X Ye
International journal of computer assisted radiology and surgery 14 (4), 611-621, 2019
332019
Esophageal abnormality detection using densenet based faster r-cnn with gabor features
N Ghatwary, X Ye, M Zolgharni
IEEE Access 7, 84374-84385, 2019
242019
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ...
Medical image analysis 70, 102002, 2021
222021
Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis
J Arribas, G Antonelli, L Frazzoni, L Fuccio, A Ebigbo, F Van Der Sommen, ...
Gut 70 (8), 1458-1468, 2021
192021
Adaptive video watermarking integrating a fuzzy wavelet-based human visual system perceptual model
SM Youssef, A Abou ElFarag, NM Ghatwary
Multimedia tools and applications 73 (3), 1545-1573, 2014
172014
In-vivo Barrett’s esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy
N Ghatwary, A Ahmed, E Grisan, H Jalab, L Bidaut, X Ye
Journal of Medical Imaging 6 (1), 014502, 2019
112019
Endoscopy disease detection challenge 2020
S Ali, N Ghatwary, B Braden, D Lamarque, A Bailey, S Realdon, ...
arXiv preprint arXiv:2003.03376, 2020
102020
Automated detection of Barrett’s esophagus using endoscopic images: a survey
N Ghatwary, A Ahmed, X Ye
Annual conference on medical image understanding and analysis, 897-908, 2017
102017
Automatic grade classification of Barretts Esophagus through feature enhancement
N Ghatwary, A Ahmed, X Ye, H Jalab
SPIE Medical Imaging, 1013433-1 - 1013433-8, 2017
102017
A translational pathway of deep learning methods in gastrointestinal endoscopy
S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ...
arXiv e-prints, arXiv: 2010.06034, 2020
62020
Liver CT enhancement using fractional differentiation and integration
N Ghatwary, A Ahmed, H Jalab
52016
Learning spatiotemporal features for esophageal abnormality detection from endoscopic videos
N Ghatwary, M Zolgharni, F Janan, X Ye
IEEE Journal of Biomedical and Health Informatics 25 (1), 131-142, 2020
32020
Gfd faster r-cnn: Gabor fractal densenet faster r-cnn for automatic detection of esophageal abnormalities in endoscopic images
N Ghatwary, M Zolgharni, X Ye
International Workshop on Machine Learning in Medical Imaging, 89-97, 2019
22019
Adaptive Digital Watermarking Integrating Fuzzy Inference HVS Perceptual Model
SM Youssef, A Abouelfarag, NM Ghatwary
Proceedings of World Academy of Science, Engineering and Technology, 343, 2012
22012
Liver tumor detection by classification through FD enhancement of CT image
N Ghatwary, A Ahmed, H Jalab
World Academy of Science, Engineering and Technology, 2015
12015
A new Fuzzy-based adaptive video watermarking
SM Youssef, A Abouelfarag, NM Ghatwary
2013 1st International Conference on Communications, Signal Processing, and …, 2013
12013
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment
S Ali, D Jha, N Ghatwary, S Realdon, R Cannizzaro, OE Salem, ...
arXiv preprint arXiv:2106.04463, 2021
2021
Automatic Esophageal Abnormality Detection and Classification
N Ghatwary
University of Lincoln, 2020
2020
Adaptive Video Watermarking Integrating Fuzzy Wavelet-based Human Visual System Perceptual Model
NM Ghatwary
Arab Academy for Science, 2009
2009
EndoCV 2021 3rd International Workshop and Chal-lenge on Computer Vision in En-doscopy
S Ali, N Ghatwary, D Jha, P Halvorsen
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Articles 1–20