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Shuaa S Alharbi

Showing results (1-10 of 13) with videos related to

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Diagnostics (Basel, Switzerland)|November 9, 2024
Exploring the Applications of Artificial Intelligence in Dental Image Detection: A Systematic ReviewShuaa S Alharbi, Haifa F Alhasson
Biomedicines|December 30, 2025
Advances in Image-Based Diagnosis of Diabetic Foot Ulcers Using Deep Learning and Machine Learning: A Systematic ReviewHaifa F Alhasson, Shuaa S Alharbi
Biomolecules & Biomedicine|September 25, 2024
E-DFu-Net: An efficient deep convolutional neural network models for Diabetic Foot Ulcer classificationNouf F Almufadi, Haifa F Alhasson, Shuaa S Alharbi
Diagnostics (Basel, Switzerland)|July 13, 2024
Attention-Based Deep Learning Approach for Breast Cancer Histopathological Image Multi-ClassificationLama A Aldakhil, Haifa F Alhasson, Shuaa S Alharbi
Diagnostics (Basel, Switzerland)|March 28, 2025
Leveraging Attention-Based Deep Learning in Binary Classification for Early-Stage Breast Cancer DiagnosisLama A Aldakhil, Shuaa S Alharbi, Abdulrahman Aloraini, et al.
Methods (San Diego, Calif.)|June 10, 2019
The multiscale top-hat tensor enables specific enhancement of curvilinear structures in 2D and 3D imagesShuaa S Alharbi, Çiğdem Sazak, Carl J Nelson, et al.
IEEE Journal of Biomedical and Health Informatics|August 27, 2025
ContextVecNet: A Context-Driven Multimodal Learning Framework for Depression DetectionWaleed Bin Tahir, Shah Khalid, Saied Alshahrani, et al.
Brain Sciences|October 29, 2025
Neuroimaging and Machine Learning in OCD: Advances in Diagnostic and Therapeutic InsightsNorah A Alturaiqi, Wijdan S Aljebreen, Wedad Alawad, et al.
Diagnostics (Basel, Switzerland)|April 14, 2026
An Interpretable Hybrid SFNet Deep Learning Framework for Multi-Site Bone Fracture Detection in Medical ImagingWijdan S Aljebreen, Da'ad Albahdal, Shuaa S Alharbi, et al.
Psychiatry Research. Neuroimaging|January 15, 2026
Advancing precision psychiatry: Machine learning integration with neuroimaging for early detection and diagnosis of Obsessive-Compulsive DisorderWijdan S Aljebreen, Norah A Alturaiqi, Muna I Almushyti, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Diagnostics (Basel, Switzerland)|November 9, 2024
Exploring the Applications of Artificial Intelligence in Dental Image Detection: A Systematic ReviewShuaa S Alharbi, Haifa F Alhasson
Biomedicines|December 30, 2025
Advances in Image-Based Diagnosis of Diabetic Foot Ulcers Using Deep Learning and Machine Learning: A Systematic ReviewHaifa F Alhasson, Shuaa S Alharbi
Biomolecules & Biomedicine|September 25, 2024
E-DFu-Net: An efficient deep convolutional neural network models for Diabetic Foot Ulcer classificationNouf F Almufadi, Haifa F Alhasson, Shuaa S Alharbi
Diagnostics (Basel, Switzerland)|July 13, 2024
Attention-Based Deep Learning Approach for Breast Cancer Histopathological Image Multi-ClassificationLama A Aldakhil, Haifa F Alhasson, Shuaa S Alharbi
Diagnostics (Basel, Switzerland)|March 28, 2025
Leveraging Attention-Based Deep Learning in Binary Classification for Early-Stage Breast Cancer DiagnosisLama A Aldakhil, Shuaa S Alharbi, Abdulrahman Aloraini, et al.
Methods (San Diego, Calif.)|June 10, 2019
The multiscale top-hat tensor enables specific enhancement of curvilinear structures in 2D and 3D imagesShuaa S Alharbi, Çiğdem Sazak, Carl J Nelson, et al.
IEEE Journal of Biomedical and Health Informatics|August 27, 2025
ContextVecNet: A Context-Driven Multimodal Learning Framework for Depression DetectionWaleed Bin Tahir, Shah Khalid, Saied Alshahrani, et al.
Brain Sciences|October 29, 2025
Neuroimaging and Machine Learning in OCD: Advances in Diagnostic and Therapeutic InsightsNorah A Alturaiqi, Wijdan S Aljebreen, Wedad Alawad, et al.
Diagnostics (Basel, Switzerland)|April 14, 2026
An Interpretable Hybrid SFNet Deep Learning Framework for Multi-Site Bone Fracture Detection in Medical ImagingWijdan S Aljebreen, Da'ad Albahdal, Shuaa S Alharbi, et al.
Psychiatry Research. Neuroimaging|January 15, 2026
Advancing precision psychiatry: Machine learning integration with neuroimaging for early detection and diagnosis of Obsessive-Compulsive DisorderWijdan S Aljebreen, Norah A Alturaiqi, Muna I Almushyti, et al.
Pageof 2