Faculty profile

Anastasia Oikonomou

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ProfessorDepartment of Medical ImagingUniversity of Toronto

Anastasia Oikonomou

Professor

Department of Medical Imaging

Temerty Faculty of Medicine

University of Toronto

Toronto, Ontario, Canada

Supervision signals

Professors usually supervise graduate students in their department's programs.
10 publications in the last five years, latest in 2026.
Senior (last) author on 6 recent papers, a sign of leading a research group.

These signals come from public records, including federal and provincial funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

1,008

Citations

Collaborators

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

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Signals and details

Research

Read how they describe their research on their University of Toronto profile.

Latest papers

Non-thrombotic pulmonary artery embolism: radiologic findings and literature review.
Emergency radiology · 2026
AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes · 2026 · senior author
Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation.
PloS one · 2025 · senior author

All 27 publications

27 publications.

Non-thrombotic pulmonary artery embolism: radiologic findings and literature review.

Yankova K, Abu Mughli R, Oikonomou A, Tahaineh S, Kha LC, Maroun G, Du Plessis J, Berger F

Emergency radiology2026

DOI: 10.1007/s10140-025-02406-6 PMID: 41249606

AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.

Jayarajah AN, Atinga A, Probyn L, Sivakumaran T, Christakis M, Oikonomou A

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes2026Senior author

DOI: 10.1177/08465371251380240 PMID: 41020581

Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation.

Enshaei N, Mohammadi A, Naderkhani F, Daneman N, Abu Mughli R, Anconina R, Berger FH, Kozak RA, Mubareka S, Villanueva Campos AM, Narang K, Vivekanandan T, Chan AK, Lam P, Andany N, Oikonomou A

PloS one20254 citationsSenior authorOpen Access

DOI: 10.1371/journal.pone.0328061 PMID: 40729327

Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module.

Khademi S, Heidarian S, Afshar P, Mohammadi A, Sidiqi A, Nguyen ET, Ganeshan B, Oikonomou A

Journal of imaging20253 citationsSenior authorOpen Access

DOI: 10.3390/jimaging11100360 PMID: 41150036

Predefined and data-driven CT radiomics predict recurrence-free and overall survival in patients with pulmonary metastases treated with stereotactic body radiotherapy.

Salazar P, Cheung P, Ganeshan B, Oikonomou A

PloS one2024Senior author

DOI: 10.1371/journal.pone.0311910 PMID: 39739866

Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo.

Sanchez F, Tyrrell PN, Cheung P, Heyn C, Graham S, Poon I, Ung Y, Louie A, Tsao M, Oikonomou A

Cancer imaging : the official publication of the International Cancer Imaging Society202321 citationsSenior authorOpen Access

DOI: 10.1186/s40644-023-00531-4 PMID: 36793094

Mediastinal Hemangioma Masquerading as a Simple Cyst.

D'Souza R, Pal P, Chacko B, Kha LC, Oikonomou A, Houbois C

Topics in magnetic resonance imaging : TMRI2023

DOI: 10.1097/rmr.0000000000000305 PMID: 37540631

COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images.

Enshaei N, Oikonomou A, Rafiee MJ, Afshar P, Heidarian S, Mohammadi A, Plataniotis KN, Naderkhani F

Scientific reports202241 citationsOpen Access

DOI: 10.1038/s41598-022-06854-9 PMID: 35217712

Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.

Afshar P, Rafiee MJ, Naderkhani F, Heidarian S, Enshaei N, Oikonomou A, Babaki Fard F, Anconina R, Farahani K, Plataniotis KN, Mohammadi A

Scientific reports202225 citationsOpen Access

DOI: 10.1038/s41598-022-08796-8 PMID: 35318368

CT patterns and serial CT Changes in lung Cancer patients post stereotactic body radiotherapy (SBRT).

Al-Umairi R, Tarique U, Moineddin R, Jimenez-Juan L, Kha LC, Cheung P, Oikonomou A

Cancer imaging : the official publication of the International Cancer Imaging Society202218 citationsSenior authorOpen Access

DOI: 10.1186/s40644-022-00491-1 PMID: 36114585

Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.

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Anastasia Oikonomou

Research

Latest papers

Non-thrombotic pulmonary artery embolism: radiologic findings and literature review.

AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.

Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation.

Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module.

Predefined and data-driven CT radiomics predict recurrence-free and overall survival in patients with pulmonary metastases treated with stereotactic body radiotherapy.

Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo.

Mediastinal Hemangioma Masquerading as a Simple Cyst.

COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images.

Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.

CT patterns and serial CT Changes in lung Cancer patients post stereotactic body radiotherapy (SBRT).

Frequent collaborators

Arash Mohammadi

Farnoosh Naderkhani

Konstantinos Plataniotis

Pascal Tyrrell

Patrick Cheung

Lan-Chau Kha

Usman Tarique

Farzad Khalvati

Ian Poon

Yee Ung

Narinder Paul

Gilbert Maroun

Robert Kozak

Nicole Look Hong

Rahim Moineddin

Alexander Wong

Prodipto Pal

Paul Angaran

Matthew Cheung

Sheldon Singh

May Tsao