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Using Deep Learning Techniques to Improve Liver Disease Diagnosis and Treatment


Professor Jun Ueda in the George W. Woodruff School of Mechanical Engineering and robotics Ph.D. student Heriberto Nieves. Credit; Christa M. ErnstProfessor Jun Ueda in the George W. Woodruff School of Mechanical Engineering and robotics Ph.D. student Heriberto Nieves, working with a team from the Icahn School of Medicine at Mount Sinai, have successfully applied deep learning techniques for accurate, automated quality control image assessment. The research, “Deep Learning-Enabled Automated Quality Control for Liver MR Elastography: Initial Results,” was published in the Journal of Magnetic Resonance Imaging.

Using five deep learning training models, an accuracy of 92% was achieved by the best-performing ensemble on retrospective MRE images of patients with varied liver stiffnesses. The team also achieved a return of the analyzed data within seconds. The rapidity of image quality return allows the technician to focus on adjusting hardware or patient orientation for re-scan in a single session, rather than requiring patients to return for costly and timely re-scans due to low-quality initial images.

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Save the Dates and Stay Tuned for More Details for the IRIM Fall 2024 Events Lineup!

Fall 2024 Robotics Graduate Programs Orientation 
Friday, August 16, 2024, 9:00am – 2:00pm
Marcus Nano 1116-1118

IRIM Faculty Social
Friday, August 16, 2024, 2:00pm – 4:00pm
Marcus Nano Atrium

Fall 2024 IRIM Symposium 
Wednesday, August 21, 2024, 9:00am – 6:00pm
Klaus 1116 E&W & Atrium

2024 Robotics Days for Industry
Wednesday, December 4 & Thursday, December 5, 2024, 9:00am – 6:00pm 
Klaus 1116 E&W & Atrium


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IRIM Overview


Robotics Research

The depth and breadth of IRIM breaks through disciplinary boundaries and allows for transformative research that transitions from theory to robustly deployed systems featuring next-generation robots. Fundamental research includes expertise in mechanics, control, perception, artificial intelligence and cognition, interaction, and systems.

Robotics Education

Georgia Tech offers an interdisciplinary path to an M.S. and Ph.D. in Robotics to students enrolled in a participating school within either the Colleges of Computing or Engineering. A fully integrated, multidisciplinary experience, the M.S. & Ph.D. programs include both coursework and research with faculty members in various units across campus.

Core Research Facilities

The Institute for Robotics and Intelligent Machines at Georgia Tech supports and facilitates the operation of several core research facilities on campus allowing our faculty, students and collaborators to advance the boundaries of robotics research.

IRIM & Industry

Our Industry Affiliates Program allows members to explore opportunities for research collaboration, facilities and services, consulting, student hiring, and other interactions. Whether you join as a strategic partner, an affiliate, or as a member of one of our customized consortia, your company will be supported through our work as a interdisciplinary group of robotics leaders.

IRIM & Outreach

The Institute for Robotics & Intelligent Machines (IRIM) participates in numerous K-12 STEM and community outreach activities related to robotics. Additionally, IRIM hosts tours throughout the year, and our student group, RoboGrads, participates in activities to raise awareness of the importance of robotics technology and stimulate interest in the field

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