This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Calgary directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.
Journal of imaging informatics in medicine · 2026
Prognostic data extraction harnessing a privacy-preserving large language model: a clinician-AI collaborative retrospective evaluation in head and neck oncology.
NPJ precision oncology · 2026
The Alberta Quality Assessment Tool: Risk of Bias (AQAT:RoB) for the Evaluation of Medical Large Language Model Question-Answer Studies: Development and Pilot Validation.
Journal of medical Internet research · 2026
Latest funding
- $100,000
AI-Driven Models for Large-Scale Hyperspectral Data Analysis
NSERC · 2025 · Principal investigator
- $150,000
Advancing Phenotyping Research through AI-Powered Hyperspectral Drone Imaging
NSERC · 2025 · Principal investigator
- $12,500
Next Generation of Methods and Models for Self-supervised Multimodal Deep Learning for Biomedical Data Analysis
NSERC · 2024 · Principal investigator
14 publications.
Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.
Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O'Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz N
Prognostic data extraction harnessing a privacy-preserving large language model: a clinician-AI collaborative retrospective evaluation in head and neck oncology.
Zou Y, Rafiee Sevyeri L, Farahnak F, Shenouda G, Duclos M, Yokoo Teodoro de Souza T, Sultanem K, Bagherzadeh P, Maleki F, A Enger S
The Alberta Quality Assessment Tool: Risk of Bias (AQAT:RoB) for the Evaluation of Medical Large Language Model Question-Answer Studies: Development and Pilot Validation.
Ye C, Mitchell JR, Baumgart DC, Ma Z, Fung AL, Orellana DG, Chowdhury J, Abass A, Katz S, Jaremko JL, Boulanger P, Barber CEH, Lemermeyer G, Jabbari H, Mou L, Mirzaei M, Githumbi MWB, Tandon P, Goebel R, Clark R, Hung W, Abbasi M, Maleki F, Klarenbach S, Abdalla M
Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.
Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O'Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz N
Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.
Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O'Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz N
Automatic catheter digitization in breast brachytherapy.
Quetin S, Jafarzadeh H, Kalinowski J, Bekerat H, Bahoric B, Maleki F, Enger SA
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.
Maleki F, Moy L, Forghani R, Ghosh T, Ovens K, Langer S, Rouzrokh P, Khosravi B, Ganjizadeh A, Warren D, Daneshjou R, Moassefi M, Avval AH, Sotardi S, Tenenholtz N, Kitamura F, Kline T
Tumour nuclear size heterogeneity as a biomarker for post-radiotherapy outcomes in gynecological malignancies.
Zou Y, Glickman H, Pelmus M, Maleki F, Bahoric B, Lecavalier-Barsoum M, Enger SA
A Deep Learning-Based Approach to Estimate Paneth Cell Granule Area in Celiac Disease.
Alharbi E, Rajaram A, Côté K, Farag M, Maleki F, Gao ZH, Maedler-Kron C, Marcus V, Fiset PO
Efficient Wheat Head Segmentation with Minimal Annotation: A Generative Approach.
Myers J, Najafian K, Maleki F, Ovens K
AI-Driven Models for Large-Scale Hyperspectral Data Analysis
Principal investigators: Maleki, Farhad
Keywords: Information, computer and communication technologies; Computer software
Advancing Phenotyping Research through AI-Powered Hyperspectral Drone Imaging
Principal investigators: Maleki, Farhad
Keywords: phenotyping; precisoin agriculture; hyperspectral imaging; deep learning; hyperspectral data processing
Next Generation of Methods and Models for Self-supervised Multimodal Deep Learning for Biomedical Data Analysis
Principal investigators: Maleki, Farhad
Keywords: image processing; biomedical data analysis; biomedical image analysis; video processing; multimodal data analsysis; synthetic data
Next Generation of Methods and Models for Self-supervised Multimodal Deep Learning for Biomedical Data Analysis
Principal investigators: Maleki, Farhad
Keywords: image processing; biomedical data analysis; biomedical image analysis; video processing; multimodal data analsysis; synthetic data
Tiny, Robust, and Self-Supervised Artificial Intelligence for Low-Power Sensing in 6G IoT Applications
Principal investigators: Abou-Zeid, Hatem H
Keywords: artificial intelligence; deep learning; edge networks; industrial sensing and applications; internet of things; model compression; self-supervised learning; unsupervised learning
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
- Puneeta Tandon and Carrie Ye: 3 shared papers
- Katie Ovens and Farhad Maleki: 3 shared papers
- Pierre Boulanger and Scott Klarenbach: 2 shared papers
- Ian Stavness and Mark Eramian: 2 shared papers
- Pierre Boulanger and Puneeta Tandon: 1 shared paper
- Pierre Boulanger and Carrie Ye: 1 shared paper
- Pierre Boulanger and Hosna Jabbari: 1 shared paper
- Pierre Boulanger and Lili Mou: 1 shared paper
- Pierre Boulanger and Randy Goebel: 1 shared paper
- Pierre Boulanger and Farhad Maleki: 1 shared paper
- Scott Klarenbach and Puneeta Tandon: 1 shared paper
- Scott Klarenbach and Carrie Ye: 1 shared paper
- Scott Klarenbach and Hosna Jabbari: 1 shared paper
- Scott Klarenbach and Lili Mou: 1 shared paper
- Scott Klarenbach and Randy Goebel: 1 shared paper
- Scott Klarenbach and Farhad Maleki: 1 shared paper
- Puneeta Tandon and Hosna Jabbari: 1 shared paper
- Puneeta Tandon and Lili Mou: 1 shared paper
- Puneeta Tandon and Randy Goebel: 1 shared paper
- Puneeta Tandon and Farhad Maleki: 1 shared paper
- Kevin Petrecca and Caroline Reinhold: 1 shared paper
- Kevin Petrecca and Farhad Maleki: 1 shared paper
- Caroline Reinhold and Katie Ovens: 1 shared paper
- Caroline Reinhold and Farhad Maleki: 1 shared paper
- Carrie Ye and Farhad Maleki: 1 shared paper
- Hosna Jabbari and Farhad Maleki: 1 shared paper
- Lili Mou and Farhad Maleki: 1 shared paper
- Lingling Jin and Ian Stavness: 1 shared paper
- Lingling Jin and Mark Eramian: 1 shared paper
- Lingling Jin and Farhad Maleki: 1 shared paper
- Ian Stavness and Farhad Maleki: 1 shared paper
- Randy Goebel and Farhad Maleki: 1 shared paper
- Mark Eramian and Farhad Maleki: 1 shared paper
- Computer Science
- Medicine
- Computing Science
- Radiology and Diagnostic Imaging
- Biomedical Engineering
- Neurology and Neurosurgery
- Department of Computing Science
Co-authors at University of Calgary, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Katie Ovens
Computer Science
3 shared papers, latest 2025
Scott Klarenbach
Medicine
1 shared papers, latest 2026
Puneeta Tandon
Medicine
1 shared papers, latest 2026
Kevin Petrecca
Neurology and Neurosurgery
1 shared papers, latest 2022
Caroline Reinhold
Radiology and Diagnostic Imaging
1 shared papers, latest 2023
Carrie Ye
Medicine
1 shared papers, latest 2026
Pierre Boulanger
Computing Science
1 shared papers, latest 2026
Lili Mou
Department of Computing Science
1 shared papers, latest 2026
Lingling Jin
Computer Science
1 shared papers, latest 2023
Ian Stavness
Computer Science
1 shared papers, latest 2023
Randy Goebel
Computing Science
1 shared papers, latest 2026
Mark Eramian
Computer Science
1 shared papers, latest 2023
Hosna Jabbari
Biomedical Engineering
1 shared papers, latest 2026
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