Mohammed A. Al-masni

Orcid: 0000-0002-1548-965X

According to our database1, Mohammed A. Al-masni authored at least 25 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Deep Network Regularization for Phase-Based Magnetic Resonance Electrical Properties Tomography With Stein's Unbiased Risk Estimator.
IEEE Trans. Biomed. Eng., January, 2025

Toward automated detection of microbleeds with anatomical scale localization using deep learning.
Medical Image Anal., 2025

Unsupervised learning for motion correction and assessment in brain magnetic resonance imaging using severity-based regularized cycle consistency.
Eng. Appl. Artif. Intell., 2025

Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions.
Comput. Medical Imaging Graph., 2025

Multi-Classification Refactoring Framework Using Hopfield Neural Network for Sustainable Software Development.
IEEE Access, 2025

2024
Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning.
CoRR, 2024

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation Using Disentanglement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

1D-DCGAN for Oversampling Minority Mitotic Patterns in HEp-2 Cell Images.
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

Non-local means filter denoising for DEXA images.
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


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