admin, Author at Lab of Medical Imaging and Computation

Intracranial Hemorrhage (ICH) Detection @ AuntMinnie

AuntMinnie reports (Dec 17, 2018, Ridley) “Researchers have developed a new artificial intelligence (AI) algorithm designed to address two of the biggest challenges in imaging AI: its “black box” nature and the need for large amounts of image data to train the models, according to a study published online December 17 in Nature Biomedical Engineering.”

“An Explainable Deep-learning Algorithm for the Detection of Acute Intracranial Haemorrhage from Small Datasets” Published in Nature Biomedical Engineering

“An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets (Hyunkwang Lee, Sehyo Yune, Mohammad Mansouri, Myeongchan Kim, Shahein H. Tajmir, Claude E. Guerrier, Sarah A. Ebert, Stuart R. Pomerantz, Javier M. Romero, Shahmir Kamalian, Ramon G. Gonzalez, Michael H. Lev & Synho Do)“ is published in Nature Biomedical Engineering. The article is available here.

“Practical Window Setting Optimization for Medical Image Deep Learning” Accepted by ML4H Workshop at NeurIPS 2018

“Practical Window Setting Optimization for Medical Image Deep Learning (Hyunkwang Lee, Myeongchan Kim, Synho Do)” is accepted by Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. (Link) The article is available here.

“Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model” Published in Journal of Digital Imaging

“Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model (Sehyo Yune, Hyunkwang Lee, Myeongchan Kim, Shahein H. Tajmir, Michael S. Gee, Synho Do)“ is published in Journal of Digital Imaging. The article is available here.

3D Convolutional Neural Network for Voxel-level Prediction of Radiation Absorption (CMIMI 2018 Presentation)

Myeongchan Kim (MD) gave a presentation on his paper “3D Convolutional Neural Network for Voxel-level Prediction of Radiation Absorption” at 2018 SIIM Conference on Machine Intelligence in Medical Imaging (CMIMI). Kim, M., Li, X., Yune, S., Lee, H., Liu, B., Do, S., 2018. 3D Convolutional Neural Network for Voxel-level Prediction of Radiation Absorption. The risk of diagnostic imaging procedures such…

Real-World Performance of Deep-Learning-based Automated Detection System for Intracranial Hemorrhage (CMIMI 2018 Presentation)

Sehyo Yune (MD, MPH, MBA) gave a presentation on her paper “Real-World Performance of Deep-Learning-based Automated Detection System for Intracranial Hemorrhage” at 2018 SIIM Conference on Machine Intelligence in Medical Imaging (CMIMI). Yune, S., Lee, H., Pomerantz, S., Romero, J., Kamalian, S., Gonzalez, R., Lev, M., Do, S., 2018. Real-World Performance of Deep-Learning-based Automated Detection System for Intracranial Hemorrhage….

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…