Professor Hamid Tizhoosh, the director of Kimia Lab, has been appointed as a faculty affiliate to the Vector Institute for a second time. On December 22, 2020, The Vector Institute announced that 72 faculty holding appointments at universities across Ontario have been appointed as 2020 Faculty Affiliates. The 2020 cohort is a combination of new and returning members. Dr. Tizhoosh’s first appointment was in June 2018 […]
November 4, 2020 – UW’s Kimia Lab will contribute to WHO’s global research for cancer categorization. The International Collaboration for Cancer Classification and Research (IC3R) officially accepted Kimia Lab as a full member on October 22, 2020. The UW lab, which is specialized on image search in medical archives, will assist IC3R to implement content-based image retrieval for a WHO global digital atlas of histopathology […]
Artificial intelligence technology will be used to help modernize US federal pathology facility Waterloo, ON, October 26, 2020 – Technology developed by Kimia researchers has been adopted by a major pathology facility in the United States. The Joint Pathology Center (JPC), which has the world’s largest collection of preserved human tissue samples, will use an artificial intelligence (AI) search engine to index and search its […]
Monday, October 26 | 9-9:45am PTLive Q&A: 9:45-10:05am PT In this pre-conference workshop, Huron Digital Pathology’s CEO, Patrick Myles, and their AI advisor, Professor Hamid Tizhoosh, will illustrate how Huron’s LagottoTM image search platform has been designed to integrate seamlessly into existing and emerging digital pathology workflows, describing several workflow scenarios. Attendees will learn the following: How does WSI indexing work? What file formats does Lagotto […]
UW’s Hamid Tizhoosh is among the 20 pathologists and computer scientists listed in this year’s “Power List” of The Pathologist who achieved Big Breakthroughs, “ trailblazers working at the cutting edge and driving forward the future of the field”. The magazine collects nominations from the pathology community. An expert panel selects the distinguished physicians and researchers based on their track record and achievements in the field. […]
A novel method developed by graduate students from Kimia Lab, Waterloo Engineering, Mohammed Adnan (1st-year MASc.), and Shivam Kalra (2nd year Ph.D.) has the potential to have a major impact in histopathological image analysis and cancer diagnostics. Their technique uses artificial intelligence (AI) to render digital representations of extremely high-resolution biopsy images. These digital representations can be used for real-time image search, providing critical information to pathologists for well-informed and […]
Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence A new system combining artificial intelligence (AI) with human knowledge promises faster and more accurate cancer diagnosis. The powerful technology, developed by a team led by engineering researchers at the University of Waterloo, uses digital images of tissue samples to match new cases of suspected cancer with previously diagnosed cases in a database. In […]
The USCAP 109th Annual Meeting United States and Canadian Academy of Pathology (USCAP) will hold its 109th Annual Meeting for the first time in Convention Center Los Angeles, California, February 29-March 5, 2020. Kimia Lab will present posters on Detecting Specimen Contamination in Whole Slide Imaging Using Artificial Intelligence and Automatic Assessment of Tumor Cellularity in Histopathology Images Using Weakly-Supervised segmentation. Poster VI – Wednesday March […]
Welcome to the first of the Shopify Data Talks series! Join us with Dr. Hamid Tizhoosh as he takes us through the past, present, and future of AI. Tackling questions like when was modern AI born?, why did AI experience a renaissance?, what happens next?, and what should we do now? We will be gathering at Shopify’s 57 Erb St. location in Waterloo with time for networking, drinks, […]
Physicians may soon be able to get a second opinion on your diagnosis from a form of homegrown artificial intelligence (AI). Toronto’s University Health Network (UHN) is teaming up with researchers at the University of Waterloo and the Vector Institute to develop software that can read and provide feedback on medical images like x-rays and ultrasounds. The groundbreaking technology is specifically aimed at assisting radiologists […]