Hamid Tizhoosh, PEng

Location: E2 1724D
Phone: 519-888-4567 x46751

Biography

*** 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

Research Interests

  • 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)

Education

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

Teaching*

  • SYDE 223 - Data Structures and Algorithms
    • Taught in 2018
  • SYDE 522 - Machine Intelligence
    • Taught in 2018, 2019, 2020, 2021
  • SYDE 677 - Medical Imaging
    • Taught in 2018, 2019, 2020, 2021
  • SYDE 720 - Selected Topics in Computation
    • Taught in 2019, 2020, 2021

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

Selected/Recent Publications

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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
  • , , , , 2019
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In The News

Graduate Studies

  • Not currently accepting applications for graduate students