Keynote at the 14th Annual London Imaging Discovery Day 2019 London, Ontario, June 12, 2019. Dr. Hamid Tizhoosh, the Director of KIMIA Lab, delivered the keynote at the 14th Annual London Imaging Discovery Day, 2019 on the topic of Artificial Intelligence and ethics. In his talk, he reviewed the most pressing ethical issues with the deployment of the AI technologies in medical imaging and inquired […]
JOIN us for free, half-day mini-symposium on Artificial Intelligence (AI) in cancer imaging. OBJECTIVES The audience will gain knowledge on intelligent digital imaging workflows, machine learning (ML) tools, and artificial intelligence (AI) analysis that can assist pathologists and support researchers in integrating multilayered image data and machine learning algorithms into cancer diagnostic decision-making. EVENT DETAILS Our keynote speakers include Dr. Hamid Tizhoosh, Professor, University of […]
Waterloo, Canada, June 03, 2019 –(PR.com)– University of Waterloo’s Kimia Lab announced today that it will participate in the $126 million Industry Consortium for Image Guided Therapy (ICIGT) led by the Sunnybrook Research Institute, with investment partnership from the Canadian government.The Canadian government, through its Strategic Innovation Fund, will invest up to $49 million to support the ICIGT initiative, which, in addition to Kimia Lab […]
Waterloo, Ontario, Canada, February 8, 2019 – Kimia Lab’s director, Dr. Hamid R. Tizhoosh will deliver a keynote at the 2019 OBIO Investment Summit on February 21, 2019. The talk is on “Searching is Intelligence: AI Solutions for Medical Imaging” and will explore the potentials of search technologies in medical imaging. Summit Highlights Presentations from Canada’s most innovative health science companies, across three streams: AI in Health, New […]
Waterloo, Ontario, Canada, September 19, 2018 – Waterloo Artificial intelligence Institite will start its Seminar Series this Fall with a talk titled “Artificial Intelligence – History, Opportunities and Challenges”. The talk will be delivred by the Kimia Lab’s director professor Tizhoosh. Date: Monday, September 24 Time: 3:00-5:00 pm Location: University of Waterloo, Davis Centre 1302 About the Talk – The history of artificial intelligence (AI) contains several […]
Huron Digital Pathology and Grand River Hospital are part of UW study to improve analysis of biopsies BY FAISAL ALI, June 28, 2018 Waiting for the results of a biopsy can be an harrowing experience. The anxiety it creates for the patient, as they wait for the results on a suspect growth or damaged tissue, can even lead to sickness, through a phenomenon known as […]
Speaker: Hamid Tizhoosh, Professor KIMIA Lab (Laboratory for Knowledge Inference in Medical Image Analysis)Faculty of Engineering, University of Waterloo Large archives of digital scans in pathology are slowly becoming a reality. The amount of information in such archives is not only overwhelming but also, not easily accessible. Fast and reliable search engines, customized for histopathology to perform content-based image retrieval, are urgently needed for a […]
June 16, 2018 – Shivam Kalra, a PhD student at Kimia Lab, has received the Governor General Gold Medal for his academic excellence during his MSc. studies. “For more than 140 years, the Governor General’s Academic Medals have recognized the outstanding scholastic achievements of students in Canada. They are awarded to the student graduating with the highest average from a high school, as well as from approved […]
June 6, 2018 – Insights from industry: Dr. Hamid R. TizhooshProfessor Faculty of EngineeringUniversity of Waterloo – An interview with Professor Hamid Tizhoosh, conducted by James Ives Please give an overview of the past research into machine learning and artificial intelligence in medical imaging. What are we currently able to do with this research? The two major tasks in medical imaging that appear to be naturally predestined to be […]
Waterloo, Ontario, Canada, May 14, 2018 – University of Waterloo’s Kimia Lab announced today that its AI project for digital pathology has been awarded a grant by the Ontario Research Fund – Research Excellence program (ORF-RE). The project aims to develop an intelligent search engine for digital pathology that can retrieve relevant cases from large archives, auto-caption the images, and facilitate consensus building. “Digital pathology has opened new […]