Resultados de procura - Arman Rahmim

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  1. 1
    Noise propagation in resolution modeled PET imaging and its impact on detectability

    Noise propagation in resolution modeled PET imaging and its impact on detectability por Arman Rahmim, Jing Tang

    Publicado 2013
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  2. 2
    Bayesian PET image reconstruction incorporating anato-functional joint entropy

    Bayesian PET image reconstruction incorporating anato-functional joint entropy por Jing Tang, Arman Rahmim

    Publicado 2009
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  3. 3
    Resolution modeling in PET imaging: Theory, practice, benefits, and pitfalls

    Resolution modeling in PET imaging: Theory, practice, benefits, and pitfalls por Arman Rahmim, Jinyi Qi, Vesna Sossi

    Publicado 2013
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  4. 4
    Advanced kinetic modelling strategies: towards adoption in clinical PET imaging

    Advanced kinetic modelling strategies: towards adoption in clinical PET imaging por Fotis A. Kotasidis, Charalampos Tsoumpas, Arman Rahmim

    Publicado 2014
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  5. 5
    PET Parametric Imaging: Past, Present, and Future

    PET Parametric Imaging: Past, Present, and Future por Guobao Wang, Arman Rahmim, Roger N. Gunn

    Publicado 2020
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  6. 6
    A Guide to Cross-Validation for Artificial Intelligence in Medical Imaging

    A Guide to Cross-Validation for Artificial Intelligence in Medical Imaging por Tyler Bradshaw, Zachary Huemann, Junjie Hu, Arman Rahmim

    Publicado 2023
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  7. 7
    Design and Implementation of an Automated Partial Volume Correction in PET: Application to Dopamine Receptor Quantification in the Normal Human Striatum

    Design and Implementation of an Automated Partial Volume Correction in PET: Application to Dopamine Receptor Quantification in the Normal Human Striatum por Olivier Rousset, D. Louis Collins, Arman Rahmim, Dean F. Wong

    Publicado 2008
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  8. 8
    Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer

    Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer por Wenbing Lv, Saeed Ashrafinia, Jianhua Ma, Lijun Lu, Arman Rahmim

    Publicado 2019
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  9. 9
    Radiomics in PET Imaging

    Radiomics in PET Imaging por Fanny Orlhac, Christophe Nioche, Ivan S. Klyuzhin, Arman Rahmim, Irène Buvat

    Publicado 2021
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  10. 10
    Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques

    Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques por Mohammad R. Salmanpour, Seyed Masoud Rezaeijo, Mahdi Hosseinzadeh, Arman Rahmim

    Publicado 2023
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  11. 11
    Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling

    Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling por Aryan Golzaryan, M. Soltani, Farshad Moradi Kashkooli, Babak Saboury, Arman Rahmim

    Publicado 2025
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  12. 12
    Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy

    Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy por Hossein Azadinejad, Mohammad Farhadi Rad, Ahmad Shariftabrizi, Arman Rahmim, Hamid Abdollahi

    Publicado 2025
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  13. 13
    Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation–maximization reconstruction

    Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation–maximization reconstruction por Nicolas A. Karakatsanis, Michael Casey, Martin A. Lodge, Arman Rahmim, Habib Zaidi

    Publicado 2016
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  14. 14
    Dynamic whole-body PET parametric imaging: II. Task-oriented statistical estimation

    Dynamic whole-body PET parametric imaging: II. Task-oriented statistical estimation por Nicolas A. Karakatsanis, Martin A. Lodge, Yun Zhou, Richard L. Wahl, Arman Rahmim

    Publicado 2013
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  15. 15
    Implications of physics, chemistry and biology for dosimetry calculations using theranostic pairs

    Implications of physics, chemistry and biology for dosimetry calculations using theranostic pairs por Cassandra Miller, Julie Rousseau, Caterina F. Ramogida, A. Ćeller, Arman Rahmim, Carlos Uribe

    Publicado 2021
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  16. 16
    Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens

    Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens por Elmira Yazdani, Parham Geramifar, Najme Karamzade-Ziarati, Mahdi Sadeghi, Payam Amini, Arman Rahmim

    Publicado 2024
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  17. 17
    Dynamic whole-body PET parametric imaging: I. Concept, acquisition protocol optimization and clinical application

    Dynamic whole-body PET parametric imaging: I. Concept, acquisition protocol optimization and clinical application por Nicolas A. Karakatsanis, Martin A. Lodge, Abdel Tahari, Yun Zhou, Richard L. Wahl, Arman Rahmim

    Publicado 2013
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  18. 18
    Prediction of Cognitive Decline in Parkinson’s Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems

    Prediction of Cognitive Decline in Parkinson’s Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems por Mahdi Hosseinzadeh, Arman Gorji, Ali Fathi Jouzdani, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour

    Publicado 2023
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  19. 19
    Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessments

    Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessments por Arman Rahmim, Yousef Salimpour, Saurabh Jain, Stephan Blinder, Ivan S. Klyuzhin, Gwenn S. Smith, Zoltán Mari, Vesna Sossi

    Publicado 2016
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  20. 20
    A physics-guided modular deep-learning based automated framework for tumor segmentation in PET

    A physics-guided modular deep-learning based automated framework for tumor segmentation in PET por Kevin Leung, Wael Marashdeh, Rick Wray, Saeed Ashrafinia, Martin G. Pomper, Arman Rahmim, Abhinav K. Jha

    Publicado 2020
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