Mohammed A. Al-masni
Orcid: 0000-0002-1548-965X
According to our database1,
Mohammed A. Al-masni
authored at least 18 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities.
Comput. Methods Programs Biomed., October, 2023
A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI.
Comput. Biol. Medicine, February, 2023
Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning.
CoRR, 2023
2022
Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI.
NeuroImage, 2022
Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022
A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net).
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention.
IEEE Access, 2021
3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Comput. Methods Programs Biomed., 2020
Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks.
IEEE Access, 2020
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2018
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Int. J. Medical Informatics, 2018
Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System.
Comput. Methods Programs Biomed., 2018
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
Comput. Methods Programs Biomed., 2018
2017
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services.
Proceedings of the International Conference on ENTERprise Information Systems/International Conference on Project MANagement/International Conference on Health and Social Care Information Systems and Technologies, 2016