Hamid Tizhoosh, PEng

*** Note: Professor Tizhoosh does NOT accept graduate students anymore. If you already have a Ph.D. degree and are looking for a PDF position, then contact him at Mayo Clinic. ***

https://www.mayo.edu/research/faculty/tizhoosh-hamid-r-ph-d/bio-20530617

• Artificial Intelligence
• Medical Imaging
• Computer Vision
• Biomedical

Computer vision and medical image analysis, content-based image retrieval,

Vector Institute [Toronto] - Faculty Affiliate (Since June 2018), Huron Digital Pathology [St. Jacobs] - AI Advisor (Since November 2017), Ever AI [San Fransisco] - AI Advisor (2016-2017), Segasist Technologies [Tornonto] - CEO (2010-2013), Segasist Technologies [Tornonto] - CTO (2008-2010), Medipattern Corp. [Toronto] - Senior Scientist (2007-2008)

• 2000, Doctorate Technical Computer Science - Medical Imaging, University of Magdeburg, Germany
• 1996, Master's Electrical Engineering - Technical Computer Science, University of Technology Aachen, Germany

• SYDE 522 - Foundations of Artificial Intelligence
  • Taught in 2019, 2020, 2021
• SYDE 677 - Medical Imaging
  • Taught in 2019, 2020, 2021

* Only courses taught in the past 5 years are displayed.

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• Al-Qunaieer, Fares and Tizhoosh, Hamid R and Rahnamayan, Shahryar, Automated Resolution Selection for Image Segmentation, arXiv preprint arXiv:1605.06820, , 2016
• Nouredanesh, Mina and Tizhoosh, Hamid R and Banijamali, Ershad, Gabor Barcodes for Medical Image Retrieval, arXiv preprint arXiv:1605.04478, , 2016
• Tizhoosh, Hamid R and Rahnamayan, Shahryar, Evolutionary Projection Selection for Radon Barcodes, arXiv preprint arXiv:1604.04673, , 2016
• Sze-To, Antonio and Tizhoosh, Hamid R and Wong, Andrew KC, Binary Codes for Tagging X-Ray Images via Deep De-Noising Autoencoders, arXiv preprint arXiv:1604.07060, , 2016
• Liu, Xinran and Tizhoosh, Hamid R and Kofman, Jonathan, Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform, arXiv preprint arXiv:1604.04676, , 2016
• Zhu, Shujin and Tizhoosh, HR, Radon Features and Barcodes for Medical Image Retrieval via SVM, arXiv preprint arXiv:1604.04675, , 2016
• Mahootchi, M and Ponnambalam, K and Tizhoosh, HR, Response to the comments by Joodavi, A., and Mozafari, M. on “Operations optimization of multireservoir systems using storage moments equations” by M. Mahootchi, K. Ponnambalam, HR Tizhoosh [Adv. Water Resour. 33 (2010) 1150--1163], Advances in Water Resources, , 2016
• Tizhoosh, Hamid R and Gangeh, Mehrdad J and Tadayyon, Hadi and Czarnota, Gregory J, Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast Cancer, arXiv preprint arXiv:1602.02586, , 2016
• Khalvati, Farzad and Salmanpour, Aryan and Rahnamayan, Shahryar and Haider, Masoom A and Tizhoosh, HR, Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes, Journal of digital imaging, 254, 2016
• Salehinejad, Hojjat and Rahnamayan, Shahryar and Tizhoosh, Hamid R, Micro-Differential Evolution: Diversity Enhancement and Comparative Study, arXiv preprint arXiv:1512.07980, , 2015
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• A search engine for better disease diagnosis and treatment
• World's largest human tissue archive adopts Waterloo search system
• Prof recognized for work with AI and medical images
• KIMIA laboratory part of major medical AI consortium
• KIMIA lab selected for ‘thrilling’ medical AI project