Faculty profile

Errol Colak

Back to faculty

Associate ProfessorDepartment of Medical ImagingUniversity of Toronto

Errol Colak

Associate 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.
31 publications in the last five years, latest in 2026.
Senior (last) author on 15 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

1,219

Citations

Collaborators

Grants

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

University Profile

Search on Google Scholar

Search on ResearchGate

iDORCID OpenAlex

Find them onX · LinkedIn · Bluesky · YouTube

Signals and details

Research

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

Latest papers

Training Radiologists for an AI-Augmented Future
Canadian Association of Radiologists Journal · 2026
Plasma CHI3L1 as a marker of cognitive and structural brain changes in radiologically isolated syndrome.
BMJ neurology open · 2026
Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.
Diagnostic and interventional radiology (Ankara, Turkey) · 2026

All 52 publications

Latest funding

TRACE STUDY: An RCT using tranexamic acid in the treatment of subdural hematoma
CIHR · 2021 · Co-investigator
$1,542,792

All 1 grants and awards

52 publications.

Training Radiologists for an AI-Augmented Future

Kay Wu, Susanne Gaube, Errol Colak, Michael N. Patlas

Canadian Association of Radiologists Journal20261 citations

DOI: 10.1177/08465371261449694 PMID: 42093315

Plasma CHI3L1 as a marker of cognitive and structural brain changes in radiologically isolated syndrome.

Schneider R, Brand-Arzamendi K, Lim TR, Lee LE, Guenette M, Hu Z, Colak E, Suthiphosuwan S, Bharatha A, Feinstein A, Oh J

BMJ neurology open20261 citationsOpen Access

DOI: 10.1136/bmjno-2025-001301 PMID: 41953284

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.

Mese I, Akinci D'Antonoli T, Bluethgen C, Bressem K, Cuocolo R, Chaudhari A, Tejani AS, Isaac A, Ponsiglione A, Meddeb A, Khosravi B, Le Guellec B, Kahn CE, Suh CH, Pinto Dos Santos D, Koh DM, Tzanis E, Kotter E, Colak E, Kitamura F, Busch F, Nensa F, Yang G, Müller H, Kather JN, Nawabi J, Kleesiek J, Zhong J, Santinha J, Haubold J, de Almeida JG, Lekadir K, Marias K, Reiner LN, Maier-Hein L, Moy L, Adams LC, Martí-Bonmatí L, Paschali M, Moassefi M, Dietzel M, Huisman M, Ingrisch M, Klontzas ME, Papanikolaou N, Diaz O, Kuriki P, Seeböck P, Rouzrokh P, Strotzer QD, Park SH, Faghani S, Tayebi Arasteh S, Kim SH, Venugopal VK, Kim W, Kocak B

Diagnostic and interventional radiology (Ankara, Turkey)2026

DOI: 10.4274/dir.2026.263812 PMID: 41742713

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

Richards TJ, Flanders AE, Colak E, Prevedello LM, Ball RL, Kitamura F, Mongan J, Vazirabad M, Lin HM, Kendell A, Kanthawang T, Angkurawaranon S, Altinmakas E, Dogan H, Kuriki PEA, Somasundaram A, Rushton C, Bulja D, Spahović N, Sommer J, Jiang S, Farina EMJM, Caminha Nunes E, Brassil M, McNamara M, Ortiz J, Peoples J, Uytana VL, Kam A, Dola VNS, Murphy D, Vu D, Hakim A, Talbott JF, Dataset Contributor Group, Dataset Annotator Group, Competition Data Notebook and Curation Group

Radiology. Artificial intelligence2026

DOI: 10.1148/ryai.250480 PMID: 41532835

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Zenk M, Baid U, Pati S, Linardos A, Edwards B, Sheller M, Foley P, Aristizabal A, Zimmerer D, Gruzdev A, Martin J, Shinohara RT, Reinke A, Isensee F, Parampottupadam S, Parekh K, Floca R, Kassem H, Baheti B, Thakur S, Chung V, Kushibar K, Lekadir K, Jiang M, Yin Y, Yang H, Liu Q, Chen C, Dou Q, Heng PA, Zhang X, Zhang S, Khan MI, Azeem MA, Jafaritadi M, Alhoniemi E, Kontio E, Khan SA, Mächler L, Ezhov I, Kofler F, Shit S, Paetzold JC, Loehr T, Wiestler B, Peiris H, Pawar K, Zhong S, Chen Z, Hayat M, Egan G, Harandi M, Isik Polat E, Polat G, Kocyigit A, Temizel A, Tuladhar A, Tyagi L, Souza R, Forkert ND, Mouches P, Wilms M, Shambhat V, Maurya A, Danannavar SS, Kalla R, Anand VK, Krishnamurthi G, Nalawade S, Ganesh C, Wagner B, Reddy D, Das Y, Yu FF, Fei B, Madhuranthakam AJ, Maldjian J, Singh G, Ren J, Zhang W, An N, Hu Q, Zhang Y, Zhou Y, Siomos V, Tarroni G, Passerrat-Palmbach J, Rawat A, Zizzo G, Kadhe SR, Epperlein JP, Braghin S, Wang Y, Kanagavelu R, Wei Q, Yang Y, Liu Y, Kotowski K, Adamski S, Machura B, Malara W, Zarudzki L, Nalepa J, Shi Y, Gao H, Avestimehr S, Yan Y, Akbar AS, Kondrateva E, Yang H, Li Z, Wu HY, Roth J, Saueressig C, Milesi A, Nguyen QD, Gruenhagen NJ, Huang TM, Ma J, Singh HSH, Pan NY, Zhang D, Zeineldin RA, Futrega M, Yuan Y, Conte GM, Feng X, Pham QD, Xia Y, Jiang Z, Luu HM, Dobko M, Carré A, Tuchinov B, Mohy-Ud-Din H, Alam S, Singh A, Shah N, Wang W, Sako C, Bilello M, Ghodasara S, Mohan S, Davatzikos C, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Hess C, Mongan J, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Huang RY, Chang K, To MS, Bhardwaj S, Chong C, Agzarian M, Kozubek M, Lux F, Michálek J, Matula P, Ker Kovský M, Kopr Ivová T, Dostál M, Vybíhal V, Pinho MC, Holcomb J, Metz M, Jain R, Lee MD, Lui YW, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Colen RR, Kotrotsou A, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Bendszus M, Wick W, Mahajan A, Balaña C, Capellades J, Puig J, Choi YS, Lee SK, Chang JH, Ahn SS, Shaykh HF, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Garrett J, Larson M, Jeraj R, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Sharma S, Tseng TC, Adabi S, Xavier Falcão A, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, Niclou SP, Keunen O, Hau AC, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Luo B, Poisson LM, Wen N, Vallières M, Loutfi MAL, Fortin D, Lepage M, Morón F, Mandel J, Shukla G, Liem S, Alexandre GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Ogbole G, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu Hikima M, Soneye M, Dako F, Dorcas A, Murcia D, Fu E, Haas R, Thompson JA, Ormond DR, Currie S, Fatania K, Frood R, Simpson AL, Peoples JJ, Hu R, Cutler D, Moraes FY, Tran A, Hamghalam M, Boss MA, Gimpel J, Kattil Veettil D, Schmidt K, Cimino L, Price C, Bialecki B, Marella S, Apgar C, Jakab A, Weber MA, Colak E, Kleesiek J, Freymann JB, Kirby JS, Maier-Hein L, Albrecht J, Mattson P, Karargyris A, Shah P, Menze B, Maier-Hein K, Bakas S

Nature communications202516 citationsOpen Access

DOI: 10.1038/s41467-025-60466-1 PMID: 40628696

Machine Learning to Detect Cervical Spine Fractures Missed by Radiologists on CT: Analysis Using Seven Award-Winning Models From the 2022 RSNA Cervical Spine Fracture AI Challenge.

Chen YA, Hu Z, Shek KD, Wilson J, Alotaibi FSS, Witiw CD, Lin HM, Ball RL, Patel M, Mathur S, Sejdić E, Colak E

AJR. American journal of roentgenology20257 citationsSenior authorOpen Access

DOI: 10.2214/ajr.24.32076 PMID: 39772578

High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis

Zixuan Hu, Hui Ming Lin, Shobhit Mathur, Robert B. Moreland, Christopher D. Witiw, Laura Jiménez‐Juan, Matias F Callejas, Djeven Parameshvara Deva, Ervin Sejdić, Errol Colak

npj Digital Medicine20254 citationsSenior authorOpen Access

DOI: 10.1038/s41746-025-01594-2 PMID: 40335679

External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.

Kirpalani A, Viel T, Hu Z, Lin HM, Hermans S, Gomez D, Moreland R, Mathur S, Jhaveri A, Wu M, Vlachou PA, Tafur M, Sejdić E, Colak E

Abdominal radiology (New York)20253 citationsSenior author

DOI: 10.1007/s00261-025-04910-2 PMID: 40312490

Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications.

Chong JJR, Kirpalani A, Moreland R, Colak E

Radiologic clinics of North America20251 citationsSenior author

DOI: 10.1016/j.rcl.2024.11.005 PMID: 40221188

Association between Cystic Fibrosis and Pericardial Calcification Detected at Chest CT in Adults.

Rodriguez-Takeuchi S, Tullis E, Babaei Jandaghi A, Yan AT, Colak E, Hall DA, Wong K, Jiménez-Juan L, McIntyre K, Sykes J, Deva DP, Callejas MF

Radiology2025

DOI: 10.1148/radiol.241793 PMID: 39998371

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

Something wrong or missing on this profile? Suggest a correction

Errol Colak

Research

Latest papers

Latest funding

Training Radiologists for an AI-Augmented Future

Plasma CHI3L1 as a marker of cognitive and structural brain changes in radiologically isolated syndrome.

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Machine Learning to Detect Cervical Spine Fractures Missed by Radiologists on CT: Analysis Using Seven Award-Winning Models From the 2022 RSNA Cervical Spine Fracture AI Challenge.

High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis

External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.

Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications.

Association between Cystic Fibrosis and Pericardial Calcification Detected at Chest CT in Adults.

TRACE STUDY: An RCT using tranexamic acid in the treatment of subdural hematoma

Frequent collaborators

Shobhit Mathur

Robert Moreland

Anish Kirpalani

Jefferson Wilson

Ervin Sejdic

Christopher Witiw

Marzyeh Ghassemi

Aditya Bharatha

Suradech Suthiphosuwan

Matthew Wu

Jeffrey Perl

David Gomez Jaramillo

Amber Simpson

David Gomez

Rosane Nisenbaum

Noah Ditkofsky

Amy Lin

Muhammad Mamdani

Kenneth Pace

Jiwon Oh

Linda Probyn

Ania Kielar

Dawn Pearce

Paraskevi Vlachou

Tim Dowdell

Bruce Gray

Djeven Deva

Vikramaditya Prabhudesai

Johannes Roth

Samir Grover

Francois Mathieu

Michael Patlas

Jenna Sykes

Martin Vallières