In: Medical Imaging

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A graphic representing the Johns Hopkins solution to imaging scan problems from metal implants. The scanner can be steered (ball on right encircled by green and yellow lines) to get an undistorted image of the implant. Greek letters stand for the best way to steer the scanner to achieve this.

Johns Hopkins researchers solve imaging scan problems caused by metal implants

John C. Malone Professor Jeffrey Siewerdsen and team solve problem of distorted imaging scans that plague surgeons who need to use them to assess the placement of metal implants.

Wearing safety goggles, Muyinatu Bell works in her lab with a robot end effector.

Lighting the Way to Safer Heart Procedures

In new study, Muyinatu Bell and team provide evidence that an alternative imaging technique could someday replace current methods that require potentially harmful radiation.

Paul Yi and Haris Sair post with a woman.

Using AI to improve radiology with RAIL

Dr. Paul Yi and Dr. Haris Sair, co-directors of RAIL, explain how the lab uses innovations in machine and deep learning to advance the field of radiology and improve doctor’s caseload.

Archana Venkataraman poses in front of a blurry monitor.

Archana Venkataraman talks AI and the brain

Venkataraman was recently interviewed by the TWIML AI Podcast on her research into artificial intelligence (AI) and the brain.

Blue and red rendering of brain neurons.

Neural Systems Analysis Laboratory papers accepted to major conferences

The papers were penned by five doctoral candidates – Ravi Shankar, Jeff Craley, Sayan Ghosal, Niharika Shimona D’Souza, and Naresh Nandakumar – and were accepted to two different conferences.

Muyinatu Bell speaks from behind a podium at the Maryland Science Center.

Muyinatu Bell receives Maryland’s Outstanding Young Engineer Award

The annual award highlights one Maryland engineer in the academic sector who has made tremendous contributions to his or her field.