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Mohammadreza Soltaninejad

Showing results (1-10 of 9) with videos related to

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Maternal-Fetal Medicine (Wolters Kluwer Health, Inc.)|July 7, 2025
Artificial Intelligence and Postpartum HemorrhageSam J Mathewlynn, Mohammadreza Soltaninejad, Sally L Collins
Work (Reading, Mass.)|January 11, 2021
Ergonomics factors influencing school education during the COVID-19 pandemic: A literature reviewMohammadreza Soltaninejad, Amin Babaei-Pouya, Mohsen Poursadeqiyan, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 15, 2020
Three Dimensional Root CT Segmentation using Multi-Resolution Encoder-Decoder NetworksMohammadreza Soltaninejad, Craig J Sturrock, Marcus Griffiths, et al.
Work (Reading, Mass.)|May 18, 2020
Shift working disorders among nurses of Tehran hospital and its related factors in 2016Mohammadreza Soltaninejad, Alireza Khammar, Mohsen Aminizadeh, et al.
Work (Reading, Mass.)|December 16, 2020
The prevalence of metabolic syndrome in drivers: A meta-analysis and systematic reviewMohammadreza Soltaninejad, Hamed Yarmohammadi, Elham Madrese, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|May 3, 2025
Burden of Parkinson's disease in Iran: disparities, trends, and the impact of social development indicatorsMohammad Sarmadi, Mina Rezaei, Mohsen Poursadeghiyan, et al.
International Journal of Computer Assisted Radiology and Surgery|September 22, 2016
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRIMohammadreza Soltaninejad, Guang Yang, Tryphon Lambrou, et al.
Computer Methods and Programs in Biomedicine|February 26, 2018
Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxelsMohammadreza Soltaninejad, Guang Yang, Tryphon Lambrou, et al.
The Journal of Machine Learning for Biomedical Imaging|March 31, 2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsRaghav Mehta, Angelos Filos, Ujjwal Baid, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Maternal-Fetal Medicine (Wolters Kluwer Health, Inc.)|July 7, 2025
Artificial Intelligence and Postpartum HemorrhageSam J Mathewlynn, Mohammadreza Soltaninejad, Sally L Collins
Work (Reading, Mass.)|January 11, 2021
Ergonomics factors influencing school education during the COVID-19 pandemic: A literature reviewMohammadreza Soltaninejad, Amin Babaei-Pouya, Mohsen Poursadeqiyan, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 15, 2020
Three Dimensional Root CT Segmentation using Multi-Resolution Encoder-Decoder NetworksMohammadreza Soltaninejad, Craig J Sturrock, Marcus Griffiths, et al.
Work (Reading, Mass.)|May 18, 2020
Shift working disorders among nurses of Tehran hospital and its related factors in 2016Mohammadreza Soltaninejad, Alireza Khammar, Mohsen Aminizadeh, et al.
Work (Reading, Mass.)|December 16, 2020
The prevalence of metabolic syndrome in drivers: A meta-analysis and systematic reviewMohammadreza Soltaninejad, Hamed Yarmohammadi, Elham Madrese, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|May 3, 2025
Burden of Parkinson's disease in Iran: disparities, trends, and the impact of social development indicatorsMohammad Sarmadi, Mina Rezaei, Mohsen Poursadeghiyan, et al.
International Journal of Computer Assisted Radiology and Surgery|September 22, 2016
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRIMohammadreza Soltaninejad, Guang Yang, Tryphon Lambrou, et al.
Computer Methods and Programs in Biomedicine|February 26, 2018
Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxelsMohammadreza Soltaninejad, Guang Yang, Tryphon Lambrou, et al.
The Journal of Machine Learning for Biomedical Imaging|March 31, 2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsRaghav Mehta, Angelos Filos, Ujjwal Baid, et al.
Pageof 1