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Abdelali Elmoufidi
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2020 – today
- 2023
- [j7]Abdelali Elmoufidi, Ayoub Skouta, Said Jai-Andaloussi, Ouail Ouchetto
:
CNN with Multiple Inputs for Automatic Glaucoma Assessment Using Fundus Images. Int. J. Image Graph. 23(1): 2350012:1-2350012:20 (2023) - [j6]Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ouchetto
Deep learning for diabetic retinopathy assessments: a literature review. Multim. Tools Appl. 82(27): 41701-41766 (2023) - [j5]Abdelali Elmoufidi, Hind Ammoun:
Diabetic Retinopathy Prevention Using EfficientNetB3 Architecture and Fundus Photography. SN Comput. Sci. 4(1): 78 (2023) - 2022
- [j4]Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ouchetto
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network. J. Big Data 9(1): 78 (2022) - [j3]Abdelali Elmoufidi
Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography. Prog. Artif. Intell. 11(4): 397-409 (2022) - [j2]Abdelali Elmoufidi
Deep Multiple Instance Learning for Automatic Breast Cancer Assessment Using Digital Mammography. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [c6]Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ouchetto
Semantic Segmentation of Retinal Blood Vessels from Fundus Images by using CNN and the Random Forest Algorithm. SENSORNETS 2022: 163-170 - 2021
- [c5]Amine El Hossi, Ayoub Skouta, Abdelali Elmoufidi, Mourad Nachaoui
Applied CNN for Automatic Diabetic Retinopathy Assessment Using Fundus Images. CBI 2021: 425-433
2010 – 2019
- 2019
- [c4]Abdelali Elmoufidi:
Pre-Processing Algorithms on Digital X-ray Mammograms. ISC2 2019: 87-92 - 2018
- [j1]Abdelali Elmoufidi
Anomaly classification in digital mammography based on multiple-instance learning. IET Image Process. 12(3): 320-328 (2018) - 2016
- [c3]Abdelali Elmoufidi
Automatic Detection of Suspicious Lesions in Digital X-ray Mammograms. UNet 2016: 375-385 - 2015
- [c2]Abdelali Elmoufidi
Automatically density based breast segmentation for mammograms by using dynamic K-means algorithm and Seed Based Region Growing. I2MTC 2015: 533-538 - 2014
- [c1]Khalid El Fahssi
Mass segmentation in mammograms based on the minimisation of energy and active contour model. MeMeA 2014: 461-465
Coauthor Index
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