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Hossein Arabi

Assistant Professor

University of Geneva

Switzerland

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Professors in Switzerland Professors in Medical Imaging Medical Imaging professors in Switzerland

About

Dr. Hossein Arabi is an Assistant Professor at the University of Geneva, Switzerland. His research focuses on advanced imaging techniques and machine learning applications in oncology, particularly in the diagnosis and treatment of lymphoma and breast cancer. Recent publications explore topics such as low-dose PET denoising, the integration of qEEG with artificial intelligence for Alzheimer's detection, and the role of radiomics in clinical decision-making for lung cancer.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

Collaborators (2)

Christian Pirich

University Hospital

AUSTRIA

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Fabio Acerbi

Fondazione Bruno Kessler

ITALY

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Hossein Arabi

Research Interests

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About

Articles (10)

Quantitative determination of spatial resolution and linearity of position-sensitive LG-SiPMs at sub-millimeter scale via Ricean distribution fitting

Automatic Lugano staging for risk stratification in lymphoma: a multicenter PET radiomics and machine learning study with survival analysis

Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels

Role of machine learning in molecular pathology for breast cancer: A review on gene expression profiling and RNA sequencing application

Direct parametric reconstruction in dynamic PET using deep image prior and a novel parameter magnification strategy

Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence

Compact and Handheld SiPM-Based Gamma Camera for Radio-Guided Surgery and Medical Imaging

Optimizing Attenuation Correction in 68Ga-PSMA PET Imaging Using Deep Learning and Artifact-Free Dataset Refinement

Impact of [18F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role

Enhancing Lymphoma Diagnosis, Treatment, and Follow-Up Using <sup>18</sup>F-FDG PET/CT Imaging: Contribution of Artificial Intelligence and Radiomics Analysis

Collaborators (2)

Christian Pirich

Fabio Acerbi

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