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Computer Science

D-Index
58
Citations
15276
World Ranking
3594
National Ranking
143

Overview

Arman Rahmim is affiliated with the University of British Columbia in Canada and has contributed extensively to the field of medical imaging, with a particular focus on radiology and nuclear medicine. Their research spans multiple subfields including Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiation, and Artificial Intelligence.

The scientist's work is primarily concentrated in the broader domain of Medicine, with 584 publications attributed to this main field of study. More specifically, they have published 435 papers in Radiology, Nuclear Medicine and Imaging, 87 in Biomedical Engineering, 65 in Pulmonary and Respiratory Medicine, 32 in Radiation, and 31 in Artificial Intelligence.

Key research topics covered by Arman Rahmim include Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Radiopharmaceutical Chemistry and Applications, AI in cancer detection, Lung Cancer Diagnosis and Treatment, and Artificial Intelligence in Healthcare and Education.

Frequent publication venues where Rahmim's work appears include:

  • arXiv (Cornell University)
  • PET Clinics
  • Journal of Nuclear Medicine
  • European Journal of Nuclear Medicine and Molecular Imaging
  • Medical Physics

Among recent scientific papers are the following:

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping (2020, Radiology)
  • Head and neck tumor segmentation in PET/CT: The HECKTOR challenge (2021, Medical Image Analysis)
  • Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms (2020, Molecular Imaging and Biology)
  • A Brief History of AI: How to Prevent Another Winter (A Critical Review) (2021, PET Clinics)
  • The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights (2024, Radiology)

Rahmim frequently collaborates with other researchers, including:

  • Carlos Uribe
  • Habib Zaidi
  • Babak Saboury
  • Fereshteh Yousefirizi
  • Isaac Shiri

Best Publications

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    Alex Zwanenburg;Alex Zwanenburg;Martin Vallières;Mahmoud A. Abdalah;Hugo J. W. L. Aerts;Hugo J. W. L. Aerts

  • PET versus SPECT: strengths, limitations and challenges

    Arman Rahmim;Habib Zaidi

  • Resolution modeling in PET imaging: Theory, practice, benefits, and pitfalls

    Arman Rahmim;Jinyi Qi;Vesna Sossi

  • Dynamic whole-body PET imaging: principles, potentials and applications

    Arman Rahmim;Arman Rahmim;Martin A. Lodge;Nicolas A. Karakatsanis;Vladimir Y. Panin

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

    Nicolas A Karakatsanis;Martin A Lodge;Abdel K Tahari;Y Zhou

  • Partial Volume Correction Strategies in PET

    Olivier Rousset;Arman Rahmim;Abass Alavi;Habib Zaidi

  • Quantification of cerebral cannabinoid receptors subtype 1 (CB1) in healthy subjects and schizophrenia by the novel PET radioligand [11C]OMAR.

    Dean F. Wong;Hiroto Kuwabara;Andrew G. Horti;Vanessa Raymont

  • The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies.

    Isaac Shiri;Arman Rahmim;Pardis Ghaffarian;Parham Geramifar

  • Four-dimensional (4D) image reconstruction strategies in dynamic PET: beyond conventional independent frame reconstruction.

    Arman Rahmim;Jing Tang;Habib Zaidi

  • Strategies for Motion Tracking and Correction in PET

    Arman Rahmim;Olivier Rousset;Habib Zaidi

  • Motion compensation in histogram-mode and list-mode EM reconstructions: beyond the event-driven approach

    A. Rahmim;P. Bloomfield;S. Houle;M. Lenox

  • Statistical dynamic image reconstruction in state-of-the-art high-resolution PET.

    Arman Rahmim;Ju Chieh Cheng;Stephan Blinder;Maurie Laure Camborde

  • Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events

    A. Rahmim;K. Dinelle;J.-C. Cheng;M.A. Shilov

  • A Brief History of AI: How to Prevent Another Winter (A Critical Review)

    Amirhosein Toosi;Andrea G. Bottino;Babak Saboury;Eliot Siegel

  • Statistical list-mode image reconstruction for the high resolution research tomograph

    A. Rahmim;M. Lenox;Andrew J. Reader;Christian Michel

  • Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches

    Isaac Shiri;Hassan Maleki;Ghasem Hajianfar;Hamid Abdollahi

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

    Olivier G. Rousset;D. Louis Collins;Arman Rahmim;Dean F. Wong

  • Dynamic whole-body PET parametric imaging: II. Task-oriented statistical estimation

    Nicolas A Karakatsanis;Martin A Lodge;Y Zhou;Richard L Wahl

  • Generalized whole-body Patlak parametric imaging for enhanced quantification in clinical PET

    Nicolas A. Karakatsanis;Yun Zhou;Martin A. Lodge;Michael E. Casey

  • Bayesian PET image reconstruction incorporating anato-functional joint entropy.

    Jing Tang;Arman Rahmim

  • Robustness of Radiomic Features in [(11)C]Choline and [(18)F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization.

    Lijun Lu;Wenbing Lv;Jun Jiang;Jianhua Ma

  • The second generation HRRT - a multi-centre scanner performance investigation

    V. Sossi;H.W.A.M. de Jong;W.C. Barker;P. Bloomfield

  • Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients.

    Isaac Shiri;Majid Sorouri;Parham Geramifar;Mostafa Nazari

  • Analytic system matrix resolution modeling in PET: an application to Rb-82 cardiac imaging

    A Rahmim;J Tang;M A Lodge;S Lashkari

  • Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms

    Isaac Shiri;Hasan Maleki;Hasan Maleki;Ghasem Hajianfar;Hamid Abdollahi;Hamid Abdollahi

  • Bayesian PET image reconstruction incorporating anato-functional joint entropy

    Jing Tang;B.M.W. Tsui;A. Rahmim

Frequent Co-Authors

Emad M. Boctor
Emad M. Boctor Johns Hopkins University
Wufan Chen
Wufan Chen Southern Medical University
Jin U. Kang
Jin U. Kang Johns Hopkins University
Jianhua Ma
Jianhua Ma Hosei University
Michael E. Casey
Michael E. Casey Siemens (United States)
Albert Gjedde
Albert Gjedde University of Copenhagen
Leslie M. Loew
Leslie M. Loew University of Connecticut
James R. Brasic
James R. Brasic New York University
Hiroto Kuwabara
Hiroto Kuwabara Johns Hopkins University
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh University of Tehran

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