Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
2018 · Computer Methods and Programs in Biomedicine · 468 citations
https://doi.org/10.1016/j.cmpb.2018.05.027
M
Mohammed A. Al‐masni
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Mohammed A. Al‐masni is an academic researcher from Sejong University. The author has contributed to research in topics: Brain Tumor Detection and Classification & Medical Image Segmentation Techniques & AI in cancer detection. The author has an h-index of 20, co-authored 72 publications.
ORCID: 0000-0002-1548-965XPapers by this author
worksSimultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
2018 · Computer Methods and Programs in Biomedicine · 467 citations
https://doi.org/10.1016/j.cmpb.2018.01.017
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
2018 · International Journal of Medical Informatics · 402 citations
https://doi.org/10.1016/j.ijmedinf.2018.06.003
CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentation
2021 · Scientific Reports · 51 citations
https://doi.org/10.1038/s41598-021-89686-3
Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI
2022 · NeuroImage · 42 citations
https://doi.org/10.1016/j.neuroimage.2022.119411
Deep Network Regularization for Phase-Based Magnetic Resonance Electrical Properties Tomography With Stein's Unbiased Risk Estimator
2024 · IEEE Transactions on Biomedical Engineering · 5 citations
https://doi.org/10.1109/tbme.2024.3438270
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