News Archives - Page 5 of 7 - Lab of Medical Imaging and Computation

Invited talk: Integrative Biomedical Imaging Informatics at Stanford (IBIIS)

http://ibiis.stanford.edu/events/seminars/2017seminarseries.html

Invited Talk: GPU Technology Conference (Washington DC, 2016)

Title: Medical Image Deep Learning with a Supercharged Machine Learning System DGX-1 Presented by NVIDIA, the GPU Technology Conference (GTC) is the world’s most important event series for GPU developers. Experience two days of hands-on AI training, industry insights, and direct access to NVIDIA experts-all in one place. Secure your spot now. http://dc.gputechconf.com/ Healthcare track: Join…

SYSTEM AND METHOD FOR ULTRA-HIGH RESOLUTION TOMOGRAPHIC IMAGING

October 18, 2016 United States Patent Application 20150335306 Do, Synho (Lexington, MA, US) Brady, Thomas (Cambridge, MA, US) Gupta, Rajiv (Wayland, MA, US) A system and method for producing an image of a subject with a tomographic imaging system are provided. A tomographic imaging system is operated to rotate a radiation detector, radiation source, or…

2016 California Impact Challenge: Precision Medicine: (Runner-up)

Synho Do for AI Skin Surveillance Cam – A cloud-based, high performance skin cancer screening device leveraging an advanced AI algorithm that can instantly recognize the unique patterns of spots on the skin, making earlier skin cancer detection more accurate and affordable

Invited Talk : Asia Spine 2016

Invited Speaker for the Asia Spine 2016. It was held in Seoul, Korea on 22-24 September, 2016.

Bone Age Classification Study is covered at NVIDIA BLOG

Ask doctors and they’ll tell you: In children, there’s chronological age and there’s bone age. When the two don’t match, there’s a problem. Bones that mature too quickly or too slowly may impair a child’s growth. Radiologists measure bone age, or skeletal maturity, by comparing x-rays of children’s hands to the standard for their age….

SIIM 2016 Annual Meeting Preliminary Program

June 30, 2016 Dr. Synho Do presented machine learning at the SIIM 2016 Annual Meeting Preliminary Program.

GPU-Accelerated Radiological Knowledge Extraction System at MGH

April 05, 2016 Dr. Synho Do will present a novel GPU-accelerated knowledge extraction system as decision support for radiologists to help reduce human error and improve workflow efficiency.

2016 grant proposal “Applying Medical Image Deep Machine Learning to Decrease Rate of Missed Critical Findings in Radiology” accepted.

March 27, 2016 On behalf of the CRICO Board, the project entitled “Applying Medical Image Deep Machine Learning to Decrease Rate of Missed Critical Findings in Radiology” has been accepted for grant funding.

Hampton Symposium 2016: Frontiers in Imaging

March 24, 2016 The MGH Department of Radiology proudly presents the Hampton Symposium 2016: Frontiers in Imaging, an exciting CME program and Alumni Reunion held at MGH.