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Mugahed A Al-Antari

Showing results (1-10 of 47) with videos related to

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Diagnostics (Basel, Switzerland)|February 25, 2023
Artificial Intelligence for Medical Diagnostics-Existing and Future AI Technology!Mugahed A Al-Antari
Diagnostics (Basel, Switzerland)|June 27, 2024
Advancements in Artificial Intelligence for Medical Computer-Aided DiagnosisMugahed A Al-Antari
Bioengineering (Basel, Switzerland)|February 26, 2025
Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure MeasurementsSoojeong Lee, Mugahed A Al-Antari, Gyanendra Prasad Joshi
Scientific Reports|March 28, 2026
Explainable hybrid AI CAD framework for advanced prediction of steel surface defectsChanguk Moon, Mugahed A Al-Antari, Yeong Hyeon Gu
Sensors (Basel, Switzerland)|November 11, 2022
Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty EstimationsSoojeong Lee, Hyeonjoon Moon, Mugahed A Al-Antari, et al.
Computer Methods and Programs in Biomedicine|June 20, 2020
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammogramsMugahed A Al-Antari, Seung-Moo Han, 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
Molecular Biology Reports|February 5, 2025
A review of six bioactive compounds from preclinical studies as potential breast cancer inhibitorsShailima Rampogu, Mugahed A Al-Antari, Tae Hwan Oh, et al.
Applied Intelligence (Dordrecht, Netherlands)|November 12, 2021
"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images"Mugahed A Al-Antari, Cam-Hao Hua, Jaehun Bang, et al.
Diagnostics (Basel, Switzerland)|March 29, 2023
A Deep Learning Framework for Cardiac MR Under-Sampled Image Reconstruction with a Hybrid Spatial and <i>k</i>-Space Loss FunctionWalid Al-Haidri, Igor Matveev, Mugahed A Al-Antari, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Diagnostics (Basel, Switzerland)|February 25, 2023
Artificial Intelligence for Medical Diagnostics-Existing and Future AI Technology!Mugahed A Al-Antari
Diagnostics (Basel, Switzerland)|June 27, 2024
Advancements in Artificial Intelligence for Medical Computer-Aided DiagnosisMugahed A Al-Antari
Bioengineering (Basel, Switzerland)|February 26, 2025
Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure MeasurementsSoojeong Lee, Mugahed A Al-Antari, Gyanendra Prasad Joshi
Scientific Reports|March 28, 2026
Explainable hybrid AI CAD framework for advanced prediction of steel surface defectsChanguk Moon, Mugahed A Al-Antari, Yeong Hyeon Gu
Sensors (Basel, Switzerland)|November 11, 2022
Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty EstimationsSoojeong Lee, Hyeonjoon Moon, Mugahed A Al-Antari, et al.
Computer Methods and Programs in Biomedicine|June 20, 2020
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammogramsMugahed A Al-Antari, Seung-Moo Han, 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
Molecular Biology Reports|February 5, 2025
A review of six bioactive compounds from preclinical studies as potential breast cancer inhibitorsShailima Rampogu, Mugahed A Al-Antari, Tae Hwan Oh, et al.
Applied Intelligence (Dordrecht, Netherlands)|November 12, 2021
"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images"Mugahed A Al-Antari, Cam-Hao Hua, Jaehun Bang, et al.
Diagnostics (Basel, Switzerland)|March 29, 2023
A Deep Learning Framework for Cardiac MR Under-Sampled Image Reconstruction with a Hybrid Spatial and <i>k</i>-Space Loss FunctionWalid Al-Haidri, Igor Matveev, Mugahed A Al-Antari, et al.
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