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Hamid R.Tizhoosh
Alma materUniversity of Aachen
University of Magdeburg (PhD)
Known forAI for medical image search
Opposition Based Learning
Biomedical Informatics
Scientific career
InstitutionsMayo Clinic
University of Waterloo

Hamid Reza Tizhoosh is an Iranian-born Canadian Professor and Researcher.

He is a Professor of Biomedical Informatics at the Mayo Clinic's Department of Artificial Intelligence and Informatics in Rochester, Minnesota. He is also the founder and director of the Kimia Lab (Laboratory for Knowledge Inference in Medical Image Analysis) at the University of Waterloo.


Education

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He received his master's degree in Electrical Engineering, with a major in Technical Computer Science, from the University of Aachen in 1996 and received his Doctorate in Medical Image Analysis from the University of Magdeburg in 2000.[1]

Career

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He first began his career in radiography in 1996, as a PhD student in Germany, He participated in a European initiative, as it was a partnership between many European institutions, including Lyon, Manchester, Liverpool, and Magdeburg, with the goal of improving radiation treatment.[2]

In 2021, Tizhoosh Joined Mayo Clinic as Professor of Biomedical Informaticsand researching on applications of artificial intelligence (AI) in medicine.[3]

Research

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Before joining the University of Waterloo, he was a research associate at the University of Toronto's Knowledge and Intelligence Systems Laboratory, where he focused on dynamic bandwidth allocation utilizing AI approaches such as reinforcement learning.[4]

In 2001, Tizhoosh Joined University of Waterloo and in 2013 he founded Kimia Lab, researching on Using AI for medical image search. In 2021, he and his fellow researchers developed a new technology providing clinicians with a simple tool for diagnosing, treating, and researching disease by searching enormous medical image archives.[5]The image retrieval technology, which is called Yottixel, later it was adapted by Joint Pathology Center.[6]


Selected publications

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Journal articles

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  • Tizhoosh, Tizhoosh R. (2005). "Opposition-Based Learning: A New Scheme for Machine Intelligence". Institute of Electrical and Electronics Enigineers. 1: 695–701. doi:10.1109/CIMCA.2005.1631345.
  • Rahnamayan, Shahryar; Tizhoosh R., Hamid.; Magdy, Salama M.A. (2008). "Opposition-Based Differential Evolution". IEEE Transactions on Evolutionary Computation. 32 (3): 64–79. doi:10.1109/TEVC.2007.894200.
  • Othman, Ahmed A.; Tizhoosh R., Hamid.; Farzad, Khalvati. (2014). "EFIS—Evolving Fuzzy Image Segmentation". IEEE Transactions on Fuzzy Systems. 22 (1): 72–82. doi:10.1109/TFUZZ.2013.2246761.
  • Babaie, M.; Tizhoosh R., Hamid. (2018). "Representing Medical Images With Encoded Local Projections". IEEE Transactions on Biomedical Engineering. 65 (10): 2267–2277. doi:10.1109/TBME.2018.2791567.
  • Erfankhah, H.; Yazdi, M.; Babaie, M.; Tizhoosh R., Hamid. (2019). "Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images". IEEE Access. 7: 18354–18367. doi:10.1109/ACCESS.2019.2897281.
  • Shafiei, Shafiei; Safarpoor, Amir.; Jamalizadeh, Ahad.; Tizhoosh R., Hamid. (2020). "Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model". IEE Transactions on Medical Imaging Access. 39 (11): 3355–3366. doi:10.1109/TMI.2020.2992108.



References

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  1. ^ "Hamid Tizhoosh, PEng". Systems Design Engineering. University of Waterloo.
  2. ^ Tunstall, Jonathon. "Conversation with Dr. Hamid Tizhoosh, Founder of KIMIA Lab and Leading Expert in the Development of Unsupervised AI for Tissue Pathology – Pathology News". Pathology News. Retrieved 22 December 2022.
  3. ^ "Hamid R. Tizhoosh, Ph.D." Mayo Clinic. Retrieved 22 December 2022.
  4. ^ "AI in Med Lecture: Dr. Hamid Tizhoosh | School of Biomedical Engineering". www.bme.ubc.ca.
  5. ^ Caldwell, Brian (8 February 2021). "A search engine for better disease diagnosis and treatment". Waterloo News. University of Waterloo. Retrieved 22 December 2022.
  6. ^ Caldwell, Brian (22 October 2020). "World's largest human tissue archive adopts Waterloo search system". Waterloo News. Retrieved 22 December 2022.

Category:Iranian scientists Category:Artificial intelligence researchers Category:Iranian scientists Category:Radiologists Category:Pathologists Category:RWTH Aachen University alumni Category:Otto von Guericke University Magdeburg alumni