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Isaac Shiri

Showing results (1-10 of 131) with videos related to

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Computers in Biology and Medicine|November 30, 2020
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patientsMostafa Nazari, Isaac Shiri, Habib Zaidi
Therapeutische Umschau. Revue Therapeutique|April 23, 2026
[Artificial intelligence in cardiac imaging: status and future developments]Christoph Ryffel, Isaac Shiri, Christoph Gräni
Iranian Journal of Public Health|March 9, 2019
Medical Imaging Technologists in Radiomics Era: An Alice in Wonderland ProblemHamid Abdollahi, Isaac Shiri, Mohammad Heydari
Cancers|July 27, 2024
Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)Amirhosein Toosi, Isaac Shiri, Habib Zaidi, 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)|February 3, 2025
Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT imagesYazdan Salimi, Isaac Shiri, Zahra Mansouri, et al.
European Radiology|June 27, 2023
Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networksYazdan Salimi, Azadeh Akhavanallaf, Zahra Mansouri, et al.
Clinical Nuclear Medicine|January 30, 2025
Deep Learning-Powered CT-Less Multitracer Organ Segmentation From PET Images: A Solution for Unreliable CT Segmentation in PET/CT ImagingYazdan Salimi, Zahra Mansouri, Isaac Shiri, et al.
Journal of Digital Imaging|February 9, 2022
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and RobustnessAmirhossein Sanaat, Isaac Shiri, Sohrab Ferdowsi, 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)|March 25, 2021
The promise of artificial intelligence and deep learning in PET and SPECT imagingHossein Arabi, Azadeh AkhavanAllaf, Amirhossein Sanaat, et al.
Nuclear Medicine Communications|August 16, 2020
A theranostic approach based on radiolabeled antiviral drugs, antibodies and CRISPR-associated proteins for early detection and treatment of SARS-CoV-2 diseaseIsaac Shiri, Hamid Abdollahi, Mohammad Reza Atashzar, et al.
Pageof 14

Showing results (1-10 of 131) with videos related to

Sort By:
Pageof 14
Computers in Biology and Medicine|November 30, 2020
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patientsMostafa Nazari, Isaac Shiri, Habib Zaidi
Therapeutische Umschau. Revue Therapeutique|April 23, 2026
[Artificial intelligence in cardiac imaging: status and future developments]Christoph Ryffel, Isaac Shiri, Christoph Gräni
Iranian Journal of Public Health|March 9, 2019
Medical Imaging Technologists in Radiomics Era: An Alice in Wonderland ProblemHamid Abdollahi, Isaac Shiri, Mohammad Heydari
Cancers|July 27, 2024
Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)Amirhosein Toosi, Isaac Shiri, Habib Zaidi, 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)|February 3, 2025
Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT imagesYazdan Salimi, Isaac Shiri, Zahra Mansouri, et al.
European Radiology|June 27, 2023
Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networksYazdan Salimi, Azadeh Akhavanallaf, Zahra Mansouri, et al.
Clinical Nuclear Medicine|January 30, 2025
Deep Learning-Powered CT-Less Multitracer Organ Segmentation From PET Images: A Solution for Unreliable CT Segmentation in PET/CT ImagingYazdan Salimi, Zahra Mansouri, Isaac Shiri, et al.
Journal of Digital Imaging|February 9, 2022
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and RobustnessAmirhossein Sanaat, Isaac Shiri, Sohrab Ferdowsi, 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)|March 25, 2021
The promise of artificial intelligence and deep learning in PET and SPECT imagingHossein Arabi, Azadeh AkhavanAllaf, Amirhossein Sanaat, et al.
Nuclear Medicine Communications|August 16, 2020
A theranostic approach based on radiolabeled antiviral drugs, antibodies and CRISPR-associated proteins for early detection and treatment of SARS-CoV-2 diseaseIsaac Shiri, Hamid Abdollahi, Mohammad Reza Atashzar, et al.
Pageof 14