Errol Colak




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. 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.
  2. 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.
  3. 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. 2023; :8465371231180844. doi: 10.1177/08465371231180844. PubMed PMID:37439250 .
  4. 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. 2023; :8465371231184425. doi: 10.1177/08465371231184425. PubMed PMID:37405424 .
  5. 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.
  6. Benhabib, H, Crivellaro, PS, Osman, H, Gunaseelan, S, Chung, A, Lee, JY et al.. Standardized Reporting on the Preoperative CT Assessment of Potential Living Renal Transplant Donors: Can We Create a Universal Report Standard to Meet the Needs of Transplant Urologists?. Can Assoc Radiol J. 2023;74 (4):629-634. doi: 10.1177/08465371231153828. PubMed PMID:36718778 .
  7. Gaube, S, Suresh, H, Raue, M, Lermer, E, Koch, TK, Hudecek, MFC et al.. Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays. Sci Rep. 2023;13 (1):1383. doi: 10.1038/s41598-023-28633-w. PubMed PMID:36697450 PubMed Central PMC9876883.
  8. Meaney, C, Das, S, Colak, E, Kohandel, M. Deep learning characterization of brain tumours with diffusion weighted imaging. J Theor Biol. 2023;557 :111342. doi: 10.1016/j.jtbi.2022.111342. PubMed PMID:36368560 .
  9. Brassil, M, Li, Y, Ordon, M, Colak, E, Vlachou, P. Infection complications after transrectal ultrasound-guided prostate biopsy: A radiology department's experience and strategy for improvement. Can Urol Assoc J. 2022;16 (11):E523-E527. doi: 10.5489/cuaj.7781. PubMed PMID:35704931 PubMed Central PMC9665316.
  10. Salehinejad, H, Kitamura, J, Ditkofsky, N, Lin, A, Bharatha, A, Suthiphosuwan, S et al.. A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography. Sci Rep. 2021;11 (1):17051. doi: 10.1038/s41598-021-95533-2. PubMed PMID:34426587 PubMed Central PMC8382750.
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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