Department Research Grant and Awards
- Alumni Research Promotion Award
- Faculty Research Award
- Mergelas Family Graduate Student Award
- Jan and Hildegard Franczyk Award for Artificial Intelligence in Medical Imaging
Alumni Research Promotion Award
The Alumni Research Promotion Award is funded by a gift from former Chair, Dr. Gordon Potts. This annual award provides financial support ($2,000) to newly appointed clinical faculty in the Department (within 2 years) at the rank of Lecturer or Assistant Professor. It acts as a stimulus to initiate and carry out a research project. The nature and scope of the research must be relevant to medical imaging, including clinical imaging, imaging education, basic science, physics or applied technology relevant to medical imaging (either radiology or nuclear medicine). The project should be completed within a time frame of one to two years.
For more information see the Award Guidelines.
To apply for the Award please download the Application Form (Coming Soon).
Past Winners
Year | Recipient | Site | Project Title |
---|---|---|---|
2022 | Dr. Andrew Brown | St. Michaels Hospital/Unity Health | Machine Learning Techniques for the Automated Translation of Radiology Reports into Layperson’s Language |
2021 | Dr. Navneet Singh | Sunnybrook | Deep Learning for Quantification of Perivascular Adipose Tissue from Non-Contrast ECG-Triggered Cardiac CT |
2020 | Dr. Gauri Rani Karur | JDMI | Cardiac MRI evaluation of myocardial and aortic remodeling in Loeys-Dietz Syndrome |
2019 | Dr. Sebastian Mafeld | JDMI | Determinants of operator intracranial radiation dose during fluoroscopic guided procedures |
2018 | Dr. Arash Jaberi | JDMI | Use of cost effective 3D printing technology to facilitate VIR simulation of basic skills for radiology trainees. |
2017 | Dr. Kate Hanneman | JDMI | Noninvasive Hematocrit Assessment for Cardiac MRI Extracellular Volume Quantification Using a Point of Care Device. |
2016 | Dr. Ravi Mohan | JDMI | Quantitative Metrics for Real Time Evaluation of Competency |
2015 | Dr. Pejman Maralani | Sunnybrook | Developing and evaluating the performance of an automated computer-aided detection Software for the follow-up of metastatic brain tumours |
2014 | Dr. Sapna Rawal | JDMI | The impact of angiographic and perfusion imaging utilization on clinical outcome in subarachnoid hemorrhage |
2013 | Dr. Mia Skarpathiotakis | JDMI | Evaluating the role of DBT in improving the specificity of screening MRI in high risk patients for breast cancer |
2012 | Dr. Laura Jiménez-Juan | Sunnybrook | Ultra-low dose CT pulmonary angiography |
Mergelas Family Graduate Student Award
The Mergelas Family Graduate Student Award was established by Dr. James Mergelas and his family and is an endowed scholarship in the Faculty of Medicine, Department of Medical Imaging. The candidate must be a full-time registered graduate student(s) who is supervised by a University of Toronto Faculty Member appointed in the Department of Medical Imaging. Selection will be based on financial needs and academic merit. The award will be given to students who are pursuing a career in medical imaging; research, education or practice.
Past Winners
Year | Recipients |
---|---|
2021 | Ernest (Khashayar) Namdar, Partoo Vafaeikia, Tarimobo Michael Otobo |
2020 | Fu-Tsuen (Kelvin) Lee, Nhien Tran-Nguyen, Partoo Vafaeikia & Saman Motamed |
2019 | Saman Motamed & Mirkamal Tolend |
2018 | Helen Cheung & Navneet Singh |
2017 | Alexandre Boutet (PGY3) |
2016 | Alexandre Boutet (PGY3) |
2014 | Navneet Singh (PGY3) |
2013 | Helen Cheung (PGY3) |
2012 | Michael Da Rosa (PGY3) |
Jan and Hildegard Franczyk Award for Artificial Intelligence in Medical Imaging
The Jan and Hildegard Franczyk Award for Artificial Intelligence in Medical Imaging is an example of a significant recent donation to support the department’s campaign to establish at least four Chairs/Scientists in Artificial Intelligence and Machine Learning. It is to be awarded to a graduate student (MSc or PhD) with a demonstrated interest in artificial intelligence and machine learning, who is supervised by a faculty member in the Department of Medical Imaging in the Faculty of Medicine, based on merit.
Coming Soon !!