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Mohammed A Al-Masni

Showing results (1-10 of 34) with videos related to

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Bioengineering (Basel, Switzerland)|October 29, 2025
AI Advancements in Healthcare: Medical Imaging and Sensing TechnologiesMohammed A Al-Masni, Kanghyun Ryu
Scientific Reports|May 14, 2021
CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentationMohammed A Al-Masni, Dong-Hyun Kim
Computer Methods and Programs in Biomedicine|February 7, 2020
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classificationMohammed A Al-Masni, Dong-Hyun Kim, Tae-Seong Kim
Advances in Experimental Medicine and Biology|February 8, 2020
Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital MammogramMugahed A Al-Antari, Mohammed A Al-Masni, Tae-Seong Kim
IEEE Journal of Biomedical and Health Informatics|December 10, 2025
Cross-Modality Image Registration Via Generating Aligned Image Using Reference-Augmented FrameworkDaniel Kim, Abdullah Shazly, Mohammed A Al-Masni, et al.
Bioengineering (Basel, Switzerland)|November 27, 2024
A Unified Multi-Task Learning Model with Joint Reverse Optimization for Simultaneous Skin Lesion Segmentation and DiagnosisMohammed A Al-Masni, Abobakr Khalil Al-Shamiri, Dildar Hussain, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds DetectionMohammed A Al-Masni, Woo-Ram Kim, Eung Yeop Kim, et al.
Neuroimage. Clinical|January 5, 2021
Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approachMohammed A Al-Masni, Woo-Ram Kim, Eung Yeop Kim, et al.
Journal of X-Ray Science and Technology|July 30, 2018
Femur segmentation in DXA imaging using a machine learning decision treeDildar Hussain, Mugahed A Al-Antari, Mohammed A Al-Masni, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 6, 2025
Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptionsJaehun Lee, Daniel Kim, Taehun Kim, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Bioengineering (Basel, Switzerland)|October 29, 2025
AI Advancements in Healthcare: Medical Imaging and Sensing TechnologiesMohammed A Al-Masni, Kanghyun Ryu
Scientific Reports|May 14, 2021
CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentationMohammed A Al-Masni, Dong-Hyun Kim
Computer Methods and Programs in Biomedicine|February 7, 2020
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classificationMohammed A Al-Masni, Dong-Hyun Kim, Tae-Seong Kim
Advances in Experimental Medicine and Biology|February 8, 2020
Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital MammogramMugahed A Al-Antari, Mohammed A Al-Masni, Tae-Seong Kim
IEEE Journal of Biomedical and Health Informatics|December 10, 2025
Cross-Modality Image Registration Via Generating Aligned Image Using Reference-Augmented FrameworkDaniel Kim, Abdullah Shazly, Mohammed A Al-Masni, et al.
Bioengineering (Basel, Switzerland)|November 27, 2024
A Unified Multi-Task Learning Model with Joint Reverse Optimization for Simultaneous Skin Lesion Segmentation and DiagnosisMohammed A Al-Masni, Abobakr Khalil Al-Shamiri, Dildar Hussain, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds DetectionMohammed A Al-Masni, Woo-Ram Kim, Eung Yeop Kim, et al.
Neuroimage. Clinical|January 5, 2021
Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approachMohammed A Al-Masni, Woo-Ram Kim, Eung Yeop Kim, et al.
Journal of X-Ray Science and Technology|July 30, 2018
Femur segmentation in DXA imaging using a machine learning decision treeDildar Hussain, Mugahed A Al-Antari, Mohammed A Al-Masni, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 6, 2025
Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptionsJaehun Lee, Daniel Kim, Taehun Kim, et al.
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