AI Associate, Department of Diagnostic Imaging
Scientist, Neurosciences and Mental Health, Research Institute
Dr. Khalvati received his PhD in Electrical and Computer Engineering from University of Waterloo and before joining SickKids Hospital, he worked in industry, and Sunnybrook and Mount Sinai hospitals as imaging and AI Scientist. At SickKids, Dr. Khalvati is a Scientist and Endowed Chair in Medical Imaging and Artificial Intelligence, and his research focuses on Artificial Intelligence solutions in Medicine.
Dr. Khalvati’s Intelligent Medical Image Computing Systems (IMICS) Lab focuses on developing Artificial Intelligence solutions for Medical Imaging and Precision Medicine. His research goal is to design and develop AI-based diagnostic and prognostic algorithms and tools to improve the quality of care for patients.
To Learn more about his Lab
- 2009: PhD, Electrical and Computer Engineering, University of Waterloo, Waterloo, ON
- 2003: M.A.Sc., Electrical and Computer Engineering, University of Waterloo, Waterloo, ON
- 1998: BSc., Electrical and Computer Engineering, University of Tehran, Tehran, Iran
- 2020-present: Scientist, Neurosciences & Mental Health, Hospital for Sick Children, Toronto, ON
- 2017-2020: Staff Scientist, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON
- 2014-2017: Junior Scientist, Imaging Research, Sunnybrook Research Institute, Toronto, ON
- 2013-2014: Postdoctoral Research Associate, Imaging Research, Sunnybrook Research Institute, Toronto, ON
- 2009-2012: NSERC Industrial R&D Fellow, Toronto, ON
- Derek Harwood-Nash Annual Lecture in Neuroradiology Award, The Hospital for Sick Children, Department of Diagnostic Imaging, Toronto, Ontario, Canada.
- 2020: Chair in Medical Imaging and Artificial Intelligence, The Hospital for Sick Children and University of Toronto
- 2015: Careers in Cancer Research Development New PI Award, CIHR-Institute of Cancer, Research (CIHR-ICR)
- 2011: Industrial Research and Development Fellowship Award, NSERC
- 2010: First Job Award, Ontario Centres of Excellence (OCE)
- 2007: NSERC Postgraduate Scholarship, University of Waterloo
- 2007: President's Graduate Scholarship, University of Waterloo
- 2007: President's Graduate Engineering Scholarship, University of Waterloo
- Motamed, S., Rogalla, P., Khalvati, F. Data augmentation using generative adversarial networks (GANs) for GAN-based detection of pneumonia and COVID-19 in chest X-Ray images (2021). Informatics in Medicine Unlocked. Impact Factor 3.373. (Trainee publication, Motamed, S., primary supervisor). Senior Responsible Author.
- Wagner, M.W., Namdar, K., Biswas, A., Monah, S., Khalvati, F., Ertl-Wagner, B.B. Radiomics, machine learning, artificial intelligence – What the neuroradiologist needs to know (2021) Neuroradiology. Impact Factor 3.00. (Trainee publication, Namdar, K., primary supervisor). Co-Senior Responsible Author.
- Hao, R., Namdar, K., Liu, I.L., Haider, M.A., Khalvati, F. A comprehensive study of data augmentation strategies for prostate cancer detection in diffusion weighted MRI using convolutional neural networks (2021) Journal of Digital Imaging. Impact Factor 3.977 (Trainee publication, Hao, R., Namdar, K., primary supervisor). Senior Responsible Author.
- Motamed, S., Rogalla, P., Khalvati, F. RANDGAN: Randomized generative adversarial network for detection of covid-19 in chest X-Ray (2021) Scientific Reports. Impact Factor 5.133. (Trainee publication, Motamed, S., primary supervisor). Senior Responsible Author.
- Zhang, Y., M. Lobo-Mueller, E., Karanicolas, P., Gallinger, S., Haider, M.A., Khalvati, F. Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images (2021) Scientific Reports. Impact Factor 5.133. (Trainee publication, Zhang, Y., primary supervisor). Co-Senior Responsible Author.
- 2021/04–2026/03: Principal Investigator. Attention networks and optimized deep learning architectures for cancer diagnosis and prognosis in medical imaging. NSERC Discovery Grant. PI: Khalvati, F. $140,000 CAD. [Grant]
- 2021/01–2022/01: Principal Investigator. Early detection and novel stratification of pediatric low-grade gliomas by MRI-based Artificial Intelligence. CCS/CIHR/BC Spark Grants in Novel Technology Applications in Cancer Prevention and Early Detection. PI: Khalvati, F. Co-PI: Bouffet, E. Co-Applicants: Ertl-Wagner, B., Tabori, U., Hawkins, C., Wagner, M. $150,000 CAD. [Grant]
- 2021/01–2022/01: Co-Applicant. Detection and prevention of hypermutant glioma in children and young adults. CCS/CIHR/BC Spark Grants in Novel Technology Applications in Cancer Prevention and Early Detection . PI: Tabori, U. Co-PI: Hawkins, C. Co-Applicants: Khalvati, F., Ertl-Wagner, B., Keith, J., Tsang, D., Das, D., Laperriere, N.J., Gao, A., Croul, S.E., Barron, J. $149,878 CAD. [Grant]
- 2021/01–2021/12: Principal Investigator. Artificial Intelligence for compassionate healthcare delivery in Diagnostic Imaging. Associated Medical Services Small Grant in Compassion and Artificial Intelligence. PI: Khalvati, F. Co-PI: Lee, W. Collaborators: McCradden, M., Karmali, K. $20,000 CAD. [Grant]
- 2020/08–2021/07: Co-Investigator. Towards implementation of horizontal workflow of SickKids’ systems as a catalyst for precision child health. SickKids Foundation Precision Child Health Catalyst Grant Program. PI: Doria, A. Co-PI: Singh, S. Co-Is: Mazwi, M.L., Solomon, R., Zani, A., Goldenberg, A., Khalvati, F., Brudno, M., Sami, V., Koyle, M., Matava, C., Fischer, J. $40,000 CAD. [Grant]
- 2020/06–2023/05: Co-Investigator. Towards enhancing the value of imaging by communicating with data: Developing the next generation of LQ2 (Qualitative-Quantitative Leaders). RSNA Education Development Grants. PI: Doria, A. Co-I: Khalvati, F., Goldenberg, A. $225,000 US. [Grant]
- 2020/04–2023/03: Principal Investigator. Novel Artificial Intelligence (AI) solutions for improved image understanding tasks. HiSilicon Grants. Huawei Technologies Canada. PI: Khalvati, F. $296,500 CAD. [Grant]
- 2020/04–2025/03: Principal Investigator. Chair in Medical Imaging and Artificial Intelligence. The Hospital for Sick Children and SickKids Foundation. PI: Khalvati, F. $250,000 CAD. [Grant]