News Archives - Page 3 of 8 - Lab of Medical Imaging and Computation

Fall 2018 Harvard Undergraduate Research Spotlight

Our intern, Allison Welton (Harvard College Class of 2018) will give a presentation on her research “Extraction of Findings in Chest X-Ray Reports for Medical AI Development” (mentored by Dr. Synho Do) at Fall 2018 Undergraduate Research Spotlight. Fall 2018 Undergraduate Research Spotlight October 10, 2018 12PM -1:30PM Cabot Library Discovery Bar on the first…

SIIM 2018 New Investigator Travel Award Recipient

Travel awards are presented to new investigators with an area of study in imaging informatics and who either are currently in a full-time training program or have completed their training program within 2 years of the SIIM Annual Meeting. Our team member Sehyo Yune, MD, MPH, MBA was awarded SIIM 2018 New Investigator Travel Award! Yune,…

Invited Talk – Center for Clinical Imaging Data Science at Yonsei Severance Hospital

Hyunkwang Lee gave a presentation on his paper at MGH Graduate Student Lunch Seminar

Hyunkwang Lee, PhD Candidate in Electrical Engineering, Harvard School of Engineering and Applied Sciences, MGH Lab of Medical Imaging and Computation, gave a presentation on his paper “Machine Friendly Machine Learning: Deep Dive into Raw Data Domain for Medical Image Analysis” at MGH Graduate Student Lunch Seminar on Tuesday, July 10, 2018. His paper was presented at…

Patient- and Organ-Specific CT Radiation Dose Estimation Using AI-based Body Part Classifier : GrayNet and NCICT (SIIM 2018 Presentation)

Myeongchan Kim (MD) gave a presentation on his paper “Patient- and Organ-Specific CT Radiation Dose Estimation Using AI-based Body Part Classifier : GrayNet and NCICT” at SIIM 2018 Annual Meeting. Kim, M., Yune, S., Lee, H., Lee, C., Liu, B., Li, X., Do, S., 2018. Patient- and Organ-Specific CT Radiation Dose Estimation Using AI-based BodyPart Classifier:…

What Machines Can Read: Gender Identification from Hand and Wrist Radiographs in Children (SIIM 2018 Presentation)

Sehyo Yune (MD, MPH, MBA) gave a presentation on her paper “What Machines Can Read: Gender Identification from Hand and Wrist Radiographs in Children” at SIIM 2018 Annual Meeting. Yune, S., Lee, H., Kim, M., Tajmir, S., Gee, M., Lev, M., Do, S., 2018. What Machines Can Read: Gender Identification from Hand and Wrist Radiographs in…

Machine Friendly Machine Learning: Deep Dive into Raw Data Domain for Medical Image Analysis (SIIM 2018 Presentation)

Hyunkwang Lee (Ph.D. Candidate in Electrical Engineering, Harvard School of Engineering and Applied Sciences) gave a presentation on his paper “Machine Friendly Machine Learning: Deep Dive into Raw Data Domain for Medical Image Analysis” at SIIM 2018 Annual Meeting. Lee, H., Yune, S., Kim, M., Brady, T., Lev, M., Do, S., 2018. Machine Friendly Machine Learning: Deep…

Interventional Radiology Training Using a Dynamic Medical Immersive Training Environment (DynaMITE)

Link to the article “Interventional Radiology Training Using a Dynamic Medical Immersive Training Environment (DynaMITE)” (Authors: Colin J. McCarthy, Alvin Y.C. Yu, Synho Do, Steven L. Dawson, Raul N. Uppot) was published on JACR, Journal of the American College of Radiology.

2018 Herchel Smith Fellowship Recipient

Herchel Smith fellowships aim to encourage Harvard graduates of high academic ability and research promise in the sciences to study at Cambridge University. Fellowships are held at Emmanuel College. Awardees are to undertake studies appropriate to preparation for a future Ph.D. degree in mathematics, natural sciences, physical sciences, or applied sciences. Our intern Alli Welton…

To Become Leaders in AI, Radiologists Must Address a Variety of Challenges

Radiology Business, Feb 16, 2018, Michael Walter Artificial intelligence (AI) is one of the biggest topics in healthcare today, and the authors of a recent analysis published in the Journal of the American College of Radiology (“Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success” James H. Thrall, Xiang Li, Quanzheng Li, Cinthia Cruz, Synho Do, Keith…