Arman Rahmim

发表

Development of scalable lymphatic system in the 4D XCAT phantom: application to quantitative evaluation of lymphoma PET segmentations.

Canada., Astronomy, BC Cancer Research Institute, 2021, Medical physics.

Sparse-view statistical image reconstruction with improved total variation regularization for X-ray micro-CT imaging

Arman Rahmim, Mohammad Reza Ay, Hossien Ghadiri, 2019, Journal of Instrumentation.

The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.

Mohammad R. Salmanpour, F. Tixier, Fanny Orlhac, 2024, Radiology.

Evaluating Outcome Prediction via Baseline, End-of-Treatment, and Delta Radiomics on PET-CT Images of Primary Mediastinal Large B-Cell Lymphoma

I. Klyuzhin, C. Steidl, C. Gowdy, 2024, Cancers.

Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study

P. Geramifar, A. Saberi, A. Akhavanallaf, 2024, Int. J. Imaging Syst. Technol..

Development of the quantitative PET prostate phantom (Q3P) for improved quality assurance of 18 F-PSMA PET imaging in metastatic prostate cancer.

R. Coope, R. Fedrigo, Arman Rahmim, 2024, Medical Physics (Lancaster).

Heterogeneous PSMA ligand uptake inside parotid glands.

H. Clark, Arman Rahmim, Caleb Sample, 2024, 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.

Mathematical Modeling of $^{18}$F-Fluoromisonidazole ($^{18}$F-FMISO) Radiopharmaceutical Transport in Vascularized Solid Tumors

F. M. Kashkooli, M. Abazari, Arman Rahmim, 2024, 2405.04418.

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

P. Geramifar, Najme Karamzade-Ziarati, Arman Rahmim, 2024, Diagnostics.

Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation

Abhinav K. Jha, Kathleen A. Creel, R. Wahl, 2023, The Journal of Nuclear Medicine.

Artificial Intelligence-Based Detection, Classification and Prediction/Prognosis in PET Imaging: Towards Radiophenomics

S. Ruan, B. Saboury, A. Amyar, 2021 .

Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images

Amirhosein Toosi, I. Shiri, Arman Rahmim, 2024, ArXiv.

Dual time-point [18F]FDG PET imaging for quantification of metabolic uptake rate: Evaluation of a simple, clinically feasible method.

P. Geramifar, Rezvan Samimi, Yashar Ahmadyar, 2024, 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.

Physiologically based radiopharmacokinetic (PBRPK) modeling to simulate and analyze radiopharmaceutical therapies: studies of non-linearities, multi-bolus injections, and albumin binding

Arman Rahmim, Carlos F. Uribe, Babak Saboury, 2024, EJNMMI radiopharmacy and chemistry.

Rest Tremor in Parkinson's Disease Is Associated with Ipsilateral Striatal Dopamine Transporter Binding.

E. Davoodi-bojd, J. Joutsa, V. Kaasinen, 2024, Movement Disorders.

Fast and Accurate Collimator-Detector Response Compensation in High-Energy SPECT Imaging with 1D Convolutions and Rotations

P. Sheikhzadeh, P. Esquinas, Arman Rahmim, 2024, 2409.03100.

Quantitative SPECT imaging of 155Tb and 161Tb for preclinical theranostic radiopharmaceutical development

M. Ooms, A. Ingham, L. Wharton, 2024, EJNMMI physics.

Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies

Isaac Shiri, F. Yousefirizi, Julia Brosch-Lenz, 2024, Theranostics.

How To Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-Angle Maximum Intensity Projections and Diffusion Models

Amirhosein Toosi, Arman Rahmim, Sara Harsini, 2024, DGM4MICCAI@MICCAI.