Engineering in Medicine and Biology San Francisco

 

Dear members of the Engineering in Medicine & Biology Society

We formed a local chapter in San Francisco and our officers are:

 

ChairAlex Matov, PhD, SMIEEE, Founder in Scientific Computing & Lung Cancer Screening, DataSet Analysis

Vice-Chair: Charles Koch, MBA, JD, Associate in Patent Litigation, Pepper Hamilton

Treasurer: Xiaorong Zhang, PhD, Assistant Professor in Intelligent Computing & Embedded Systems, San Francisco State University

Secretary: Alexandre Coimbra, PhD, Principal Scientist in Clinical Imaging, Genentech

 

Below you will find information regarding our meetings:

TalkProtecting & Profiting from Your Intellectual Property

Date: Tuesday, June 26th, 2018

Time: 11:45am – 1:45pm (lunch catering 11:45am-12:30pm, technical presentation 12:30-1:45pm)

Location: Spaces Works Levi’s Plaza, 1160 Battery Street, Suite 100, San Francisco, CA 94111

Speaker: George Likourezos, MS, JD of Carter, DeLuca, Farrell & Schmidt

George Likourezos, Esq. is an IEEE member for over 25 years, and a partner at the intellectual property law firm of Carter, DeLuca, Farrell & Schmidt.  He graduated from Polytechnic University (now NYU Tandon School of Engineering) with a Bachelor of Science in Electrical Engineering and a Master of Science in Operations Management.  He has a Juris Doctor degree from Touro Jacob D. Fuchsberg Law Center, and is registered to practice with the U.S. Patent and Trademark Office. He has over 20 years’ experience representing startups, university, research institutions, and corporate clients, including many Fortune 100 companies, in intellectual property matters in fields including: AI, bioelectronics, cybersecurity, digital health, electrical engineering, electronics, electromechanical devices, life sciences, materials, medical devices, telecommunications, and computer-implemented inventions.  His legal experience includes patent procurement and licensing, prosecuting patent applications, conducting due diligence investigations, rendering freedom to operate legal opinions, and representing clients in patent litigation proceedings.

Carter, DeLuca, Farrell & Schmidt (CDFS) is a leader in intellectual property law, Carter, DeLuca provides timely and cost-effective services to clients from around the world. CDFS provides their clients with guidance, clarity and direction in protecting innovations in a wide range of technologies.

Register for this presentation here: meetings.vtools.ieee.org/m/172795

TalkDeep Learning Image Recognition of Alzheimer’s Disease

Date: Friday, May 4th, 2018

Time6:15pm – 8:15pm (social hour 6:15-7pm, technical presentation 7-8:15pm)

Location: The Bar Association of San Francisco, 301 Battery Street, 3rd Floor, San Francisco, CA 94111

Speaker: Saman Sarraf, MS, SMIEEE of Konica Minolta Laboratory USA

Abstract: Recently, the application of deep learning in recognizing dementia has been of interest to researchers. To extract patterns from neuroimaging data, various statistical methods and machine learning algorithms have been explored for the diagnosis of Alzheimer’s disease among older adults in both clinical and research applications; however, distinguishing between Alzheimer’s and healthy brain data has been challenging in older adults due to highly similar patterns of brain atrophy and image intensities. Deep learning architectures such as convolutional neural networks are designed to extract hierarchical features from data and perform classification through deep layers. The application of deep learning to recognize Alzheimer’s disease from normal healthy brains demonstrated a very high performance of classification using MRI and functional MRI data. This presentation outlines state-of-the-art deep learning-based pipelines employed to distinguish Alzheimer’s magnetic resonance imaging (MRI) and functional MRI (fMRI) from normal healthy control data for a given age group. Using these pipelines, which were executed on a GPU-based high-performance computing platform, the data were strictly and carefully preprocessed. Next, scale- and shift-invariant low- to high-level features were obtained from a high volume of training images using convolutional neural network (CNN) architecture.

Register for this presentation here: meetings.vtools.ieee.org/m/171618

Join our growing online community: linkedin/group/EMBS SF

Other recent IEEE events in San Francisco:

Meeting of the Executive Committee was held on September 13, 2018 meetings.vtools.ieee.org/m/173299

Meeting of the Communications Society was held on August 15, 2018 meetings.vtools.ieee.org/m/173293

Meeting of the Executive Committee was held on August 9, 2018 meetings.vtools.ieee.org/m/173298

Meeting of the Communications Society was held on July 18, 2018 meetings.vtools.ieee.org/m/173294

Meeting of the Executive Committee was held on July 12, 2018 meetings.vtools.ieee.org/m/173296

Meeting of the Executive Committee was held on June 14, 2018 meetings.vtools.ieee.org/m/173206

Meeting of the Executive Committee was held on May 10, 2018 meetings.vtools.ieee.org/m/170962

Meeting of the Executive Committee was held on March 29, 2018 meetings.vtools.ieee.org/m/170295

Meeting of the Communications Society was held on January 31, 2018 sf.chapters.comsoc