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Isaac Shiri

Showing results (41-50 of 131) with videos related to

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Insights Into Imaging|April 8, 2022
Automatic cardiac evaluations using a deep video object segmentation networkNasim Sirjani, Shakiba Moradi, Mostafa Ghelich Oghli, et al.
Journal of Digital Imaging|September 22, 2023
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning AlgorithmsHaniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|November 1, 2019
MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiographyShakiba Moradi, Mostafa Ghelich Oghli, Azin Alizadehasl, et al.
Computers in Biology and Medicine|August 3, 2021
Artificial intelligence-driven assessment of radiological images for COVID-19Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|May 17, 2020
Deep-JASC: joint attenuation and scatter correction in whole-body <sup>18</sup>F-FDG PET using a deep residual networkIsaac Shiri, Hossein Arabi, Parham Geramifar, et al.
JAMA Network Open|April 30, 2025
Generalizability of FDA-Approved AI-Enabled Medical Devices for Clinical UseDaniel Windecker, Giovanni Baj, Isaac Shiri, et al.
Clinical Nuclear Medicine|October 26, 2023
Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality AssuranceIsaac Shiri, Yazdan Salimi, Elsa Hervier, et al.
Computer Methods and Programs in Biomedicine|June 3, 2026
PySERA: Open-source standardized python library for automated, scalable, and reproducible handcrafted and deep radiomicsMohammad R Salmanpour, Amir Hossein Pouria, Sirwan Barichin, et al.
Clinical Oncology (Royal College of Radiologists (Great Britain))|December 7, 2021
Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning AlgorithmMehdi Amini, Ghasem Hajianfar, Atlas Hadadi Avval, et al.
La Radiologia Medica|January 5, 2019
Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancerHamid Abdollahi, Bahram Mofid, Isaac Shiri, et al.
Pageof 14

Showing results (41-50 of 131) with videos related to

Sort By:
Pageof 14
Insights Into Imaging|April 8, 2022
Automatic cardiac evaluations using a deep video object segmentation networkNasim Sirjani, Shakiba Moradi, Mostafa Ghelich Oghli, et al.
Journal of Digital Imaging|September 22, 2023
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning AlgorithmsHaniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|November 1, 2019
MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiographyShakiba Moradi, Mostafa Ghelich Oghli, Azin Alizadehasl, et al.
Computers in Biology and Medicine|August 3, 2021
Artificial intelligence-driven assessment of radiological images for COVID-19Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|May 17, 2020
Deep-JASC: joint attenuation and scatter correction in whole-body <sup>18</sup>F-FDG PET using a deep residual networkIsaac Shiri, Hossein Arabi, Parham Geramifar, et al.
JAMA Network Open|April 30, 2025
Generalizability of FDA-Approved AI-Enabled Medical Devices for Clinical UseDaniel Windecker, Giovanni Baj, Isaac Shiri, et al.
Clinical Nuclear Medicine|October 26, 2023
Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality AssuranceIsaac Shiri, Yazdan Salimi, Elsa Hervier, et al.
Computer Methods and Programs in Biomedicine|June 3, 2026
PySERA: Open-source standardized python library for automated, scalable, and reproducible handcrafted and deep radiomicsMohammad R Salmanpour, Amir Hossein Pouria, Sirwan Barichin, et al.
Clinical Oncology (Royal College of Radiologists (Great Britain))|December 7, 2021
Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning AlgorithmMehdi Amini, Ghasem Hajianfar, Atlas Hadadi Avval, et al.
La Radiologia Medica|January 5, 2019
Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancerHamid Abdollahi, Bahram Mofid, Isaac Shiri, et al.
Pageof 14