Linda Wang quickly pivoted her work last spring to help develop technology to detect COVID-19.
Wang, who will receive her master’s degree in systems design engineering this week, helped create COVID-Net, now an open-source tool designed to 
screen coronavirus cases from chest X-ray images.
Researchers at Waterloo Engineering have taken an important step in the development of a microscope to precisely guide doctors during surgery to remove brain tumors.
For the first time, they used laser imaging technology to almost instantly identify cancerous tissue with accuracy comparable to laboratory tests that take up to two weeks.
Digital X-ray technology developed by a Waterloo Engineering spinoff company has won approval from Health Canada.
A medical device licence issued for Reveal 35C, a dual-energy X-ray detector created by KA Imaging, follows clearance from the Food and Drug Administration in the United States earlier this month.
Waterloo Engineering researchers behind an open-source project to detect COVID-19 using chest X-rays and artificial intelligence (AI) announced a significant advancement this week.
In addition to detecting the disease, researchers said their technology is now capable of determining its severity.
Researchers are using AI and chest X-rays to determine COVID-19 severity.
A researcher at Waterloo Engineering has been recognized by an international magazine dedicated to laboratory medicine for his work using artificial intelligence (AI) and medical imaging to diagnose cancer.
Hamid Tizhoosh, a professor of systems design engineering, was named to the 2020 Power List released annually by The Pathologist.
Engineering professor Zhou Wang will lead a new research partnership between the University of Waterloo and entertainment technology company TiVo.
The partnership is scheduled to begin with a project involving the investigation of methods to enhance user quality-of-experience for 360-degree omnidirectional video on head-mounted devices.
Waterloo Engineering researchers have received feedback and offers of help from around the world since launching an open-source project last week to improve COVID-19 screening.
“My goal was to engage people worldwide to push this initiative along and I’m getting my wish,” said Alexander Wong, a systems design engineering professor and director of the Vision and Image Processing (VIP) Lab.
Wong launched the COVID-Net project in conjunction with DarwinAI, an artificial intelligence (AI) startup in Waterloo that he co-founded.
Waterloo Engineering researchers teamed up with an artificial intelligence (AI) startup company this week on an ambitious project to improve COVID-19 screening.
The research team publicly released AI software that can better detect infections from chest x-rays and is now inviting experts from around the world to help make it better.
Researchers at Waterloo Engineering have developed powerful new technology to quickly and accurately diagnose all kinds of cancer.
The system uses artificial intelligence (AI) to tap collected human wisdom by searching a database of confirmed cases of cancer for similar digital images of tissue samples in suspected cases.
Waterloo Engineering researchers have created a 3D scanner that has the potential to improve everything from surgical procedures to our understanding of landslides.