Errol Colak

MD, FRCPC, HBSc

Investigator

Biography

Dr. Errol Colak is a radiologist, Project Investigator at the Li Ka Shing Knowledge Institute of St. Michael’s Hospital, and Assistant Professor in the Department of Medical Imaging, University of Toronto. His research interests include machine learning in medical imaging, genitourinary and gastrointestinal imaging, and quality improvement initiatives.

Please note: Dr. Colak is not taking any summer students.

Recent Publications

  1. Kitamura, FC, Prevedello, LM, Colak, E, Halabi, SS, Lungren, MP, Ball, R et al.. Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiol Artif Intell. 2024; :e230227. doi: 10.1148/ryai.230227. PubMed PMID:38477659 .
  2. Wilson, JR, Prevedello, LM, Witiw, CD, Flanders, AE, Colak, E. Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence. Radiol Artif Intell. 2024;6 (1):e230006. doi: 10.1148/ryai.230006. PubMed PMID:38231037 PubMed Central PMC10831522.
  3. Smith, CW, Malhotra, AK, Hammill, C, Beaton, D, Harrington, EM, He, Y et al.. Vision Transformer-based Decision Support for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool. Radiol Artif Intell. 2024;6 (2):e230088. doi: 10.1148/ryai.230088. PubMed PMID:38197796 .
  4. Hamghalam, M, Moreland, R, Gomez, D, Simpson, A, Lin, HM, Jandaghi, AB et al.. Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography. Can Assoc Radiol J. 2024; :8465371231221052. doi: 10.1177/08465371231221052. PubMed PMID:38189316 .
  5. Lee, GR, Flanders, AE, Richards, T, Kitamura, F, Colak, E, Lin, HM et al.. Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiol Artif Intell. 2024;6 (1):e230256. doi: 10.1148/ryai.230256. PubMed PMID:38169426 PubMed Central PMC10831508.
  6. Lin, HM, Colak, E, Richards, T, Kitamura, FC, Prevedello, LM, Talbott, J et al.. The RSNA Cervical Spine Fracture CT Dataset. Radiol Artif Intell. 2023;5 (5):e230034. doi: 10.1148/ryai.230034. PubMed PMID:37795143 PubMed Central PMC10546361.
  7. Li, HB, Conte, GM, Anwar, SM, Kofler, F, Ezhov, I, van Leemput, K et al.. The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). ArXiv. 2023; :. . PubMed PMID:37608932 PubMed Central PMC10441440.
  8. Li, W, Lin, HM, Lin, A, Napoleone, M, Moreland, R, Murari, A et al.. Machine Learning Classification of Body Part, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging. Can Assoc Radiol J. 2024;75 (1):82-91. doi: 10.1177/08465371231180844. PubMed PMID:37439250 .
  9. Adams-McGavin, RC, Tafur, M, Vlachou, PA, Wu, M, Brassil, M, Crivellaro, P et al.. Interrater Agreement of CT Grading of Blunt Splenic Injuries: Does the AAST Grading Need to Be Reimagined?. Can Assoc Radiol J. 2024;75 (1):171-177. doi: 10.1177/08465371231184425. PubMed PMID:37405424 .
  10. Callejas, MF, Lin, HM, Howard, T, Aitken, M, Napoleone, M, Jimenez-Juan, L et al.. Augmentation of the RSNA Pulmonary Embolism CT Dataset with Bounding Box Annotations and Anatomic Localization of Pulmonary Emboli. Radiol Artif Intell. 2023;5 (3):e230001. doi: 10.1148/ryai.230001. PubMed PMID:37293344 PubMed Central PMC10245177.
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Affiliations & Other Activities

  • Staff Radiologist, Department of Medical Imaging, St. Michael’s Hospital
  • Assistant Professor, Department of Medical Imaging, University of Toronto