This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of British Columbia directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Pulling Together: A 5-Year Plan to Improve Theranostic Outcomes by Improving the Accuracy of Dosimetry-An FNIH Joint Academic, Clinical, and Industrial Collaboration.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
Kernel-based maximum likelihood reconstruction of attenuation and activity (MLAA) in SPECT imaging for improved attenuation correction and activity quantification: simulation, phantom and patient validation studies.
Physics in medicine and biology · 2026
PHYTO-PET - Imaging plant physiology on a long-axial field-of-view PET scanner.
European journal of nuclear medicine and molecular imaging · 2026
Latest funding
- $937,126
Towards state-of-the-art long axial field-of-view (LAFOV) PET/CT imaging of cancer patients
CIHR · 2025 · Principal investigator
- $906,525
Precision Radiopharmaceutical Therapies with Theranostic Digital Twins
CIHR · 2024 · Nominated PI
- $25,000
Precision Radiopharmaceutical Therapies with Theranostic Digital Twins
CIHR · 2024 · Nominated PI
64 publications.
Pulling Together: A 5-Year Plan to Improve Theranostic Outcomes by Improving the Accuracy of Dosimetry-An FNIH Joint Academic, Clinical, and Industrial Collaboration.
Bailey DL, Dickson JC, Lapi SE, Uribe C, Vargas CS, Jackson P, Stokke C, Brosch-Lenz J, Lang A, Graves SA, Sunderland JJ
Kernel-based maximum likelihood reconstruction of attenuation and activity (MLAA) in SPECT imaging for improved attenuation correction and activity quantification: simulation, phantom and patient validation studies.
Li C, Zhu Y, Polson LA, Fowler J, Esquinas P, Wang G, Uribe C, Rahmim A
PHYTO-PET - Imaging plant physiology on a long-axial field-of-view PET scanner.
Alberts I, Colpo N, Williams C, Woods M, Uribe C, Rahmim A, Bénard F
Beyond the tumor: recurrence-prone radiomics for prognostication in negative PSMA PET/CT scans of prostate cancer.
Yousefirizi F, Harsini S, Mohebi M, Alberts I, Yusufaly T, Luo M, Abdollahi H, Yazdani E, Mirabedin S, Sabouri M, Geramifar P, Sheikhzadeh P, Martineau P, Wilson D, Bénard F, Uribe C, Rahmim A
Comparison of [111In]octreotide Scintigraphy and [68Ga]DOTATOC PET in Gastroenteropancreatic Neuroendocrine Tumors: Concordance of Krenning Scores and Implications for Peptide Receptor Radionuclide Therapy Eligibility.
Fedrigo R, Harsini S, Murtha L, Solar Vasconcelos JP, Uribe C, Wilson D, Benard F, Alberts I, Martineau P, Loree JM
Optimizing 131I-mIBG Dosimetry: Validation of Simplified Time-Point and Segmentation Approaches.
Kurkowska S, Poniatowska M, Uribe C, Birkenfeld B, Piwowarska-Bilska H
First-in-Human Evaluation of [68Ga]Ga-HTK03149, a PSMA-Targeted Tracer for PET Imaging in Prostate Cancer.
Chaussé G, Hou X, Uribe C, Harsini S, Pan J, Saprunoff H, Allan H, Kuo HT, Lin KS, Wilson D, Bénard F
An international study of factors affecting variability of dosimetry calculations, part 5: impact of segmentation methods.
Kurkowska S, Dewaraja YK, Frey EC, Brosch-Lenz J, Sunderland J, Uribe C
Conventional versus Monte Carlo SPECT reconstruction of Lu-177: Toward reduced bias and variance in quantitative imaging.
Polson LA, Esquinas P, Kurkowska S, Li C, Uribe C, Rahmim A
Artificial Intelligence for Simplified Patient-centered Dosimetry in Radiopharmaceutical Therapies.
Montes AL, Yousefirizi F, Chen Y, Salimi Y, Seifert R, Afshar-Oromieh A, Uribe C, Rominger A, Zaidi H, Rahmim A, Shi K
Towards state-of-the-art long axial field-of-view (LAFOV) PET/CT imaging of cancer patients
Principal investigators: Rahmim, Arman; Uribe, Carlos F
Keywords: Ai; Cancer; Data Acquisition; Image Processing; Image Reconstruction; Imaging; Medical Physics; Pet/Ct
Precision Radiopharmaceutical Therapies with Theranostic Digital Twins
Principal investigators: Uribe, Carlos F; Beauregard, Jean-Mathieu; Benard, Francois; Rahmim, Arman
Keywords: Artificial Intelligence; Dosimetry; Dynamic Pet; Molecular Imaging; Personalized Medicine; Physiologically Based Radiopharmacokinetic Models; Quantitative Spect And Pet; Radiopharmaceutical Therapies; Theranostic Digital Twins; Theranostics
Precision Radiopharmaceutical Therapies with Theranostic Digital Twins
Principal investigators: Uribe, Carlos F
Keywords: Artificial Intelligence; Dosimetry; Dynamic Pet; Molecular Imaging; Personalized Medicine; Physiologically Based Radiopharmacokinetic Models; Quantitative Spect And Pet; Radiopharmaceutical Therapies; Theranostic Digital Twins; Theranostics
Rare Isotopes to Transform Cancer Therapy
Principal investigators: Bénard, François
Keywords: Radiopharmaceuticals; Targeted Radionuclide Therapy; Targeted Alpha Therapy; Cancer; Therapeutics; Nuclear Medicine; Radiology; Radiometals; Theranostic; Radioisotope
Towards personalized medicine with theranostics: quantitative molecular imaging and artificial intelligence
Principal investigators: Uribe, Carlos
Towards personalized medicine with theranostics: quantitative molecular imaging and artificial intelligence
Principal investigators: Uribe, Carlos
Improved Assessment of Disease in Lymphoma Patients using Quantitative PET Imaging
Principal investigators: Rahmim, Arman
Keywords: Artificial Intelligence; Image Processing; Machine Learning; Molecular Imaging; Nuclear Medicine; Personalized Cancer Therapy; Pet/Ct; Quantitative Imaging; Radiomics
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Chemistry
- Molecular Oncology
- Electrical and Computer Engineering
- Medical Imaging
- Department of Medicine
- Department of Medical Biophysics
- Biochemistry
- Other
Co-authors at University of British Columbia, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Arman Rahmim
Faculty
40 shared papers, latest 2026
Paul Schaffer
Chemistry
5 shared papers, latest 2024
Kuo-Shyan Lin
Molecular Oncology
5 shared papers, latest 2026
Jean-Mathieu Beauregard
Faculty
4 shared papers, latest 2025
Valery Radchenko
Faculty
4 shared papers, latest 2024
Hua Yang
Chemistry
4 shared papers, latest 2024
Francois Benard
Chemistry
2 shared papers, latest 2026
Stewart Gaede
Department of Medical Biophysics
1 shared papers, latest 2022
Calum Macaulay
Electrical and Computer Engineering
1 shared papers, latest 2023
Ivan Yeung
Faculty
1 shared papers, latest 2022
Katherine Zukotynski
Medical Imaging
1 shared papers, latest 2021
Ting-Yim Lee
Biochemistry
1 shared papers, latest 2022
Ran Klein
Department of Medicine
1 shared papers, latest 2022
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