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CATEGORIES:Academics,Lectures/Seminars
DESCRIPTION:ME-EM Virtual Graduate Seminar Speaker Series\n\nproudly presen
 ts\n\nWeihua Zhou\, PhD\n\nMichigan Technological University\n\nAbstract\n\
 nMachine learning (ML) has shown great advantages to overcome the challenge
 s of high-dimensional complexity and inter-correlation among clinical predi
 ctors and help physicians make patient-specific clinical decisions related 
 to diagnosis and treatment. Deep learning as a type of more complicated ML 
 methods has been extensively used to extract information from medical recor
 ds and images\, and predict outcomes with a very high accuracy. Convolution
 al neural networks (CNN) are state-of-the-art deep learning techniques for 
 computer vision\, such as medical image segmentation and classification. Th
 is research talk will introduce our approaches of applying artificial intel
 ligence (AI) to medical image analysis\, particularly on image segmentation
 . We will also give an example about building a clinically accurate and pra
 ctical AI-based software toolkit to improve the treatment of patients with 
 coronary artery disease.\n\nBio\n\nDr. Weihua Zhou is an Assistant Professo
 r of Applied Computing at Michigan Tech. He has been doing research on medi
 cal imaging and informatics since 2008. Prior to joining Michigan Tech\, he
  was a post-doctoral fellow at Emory University School of Medicine from 201
 2 to 2015 and was an Assistant Professor of Computer Science at The Univers
 ity of Southern Mississippi from 2015 to 2019. Dr. Zhou’s research is drive
 n by clinical significance. His research record includes more than 70 publi
 cations\, 1 active patent\, and 7 invention disclosures. His software appli
 cations are being used by 3 clinical trials and more than 30 hospitals.\n\n
 Invited by: Radheshyam Tewari
DTEND:20210408T210000Z
DTSTAMP:20260309T121458Z
DTSTART:20210408T200000Z
LOCATION:
SEQUENCE:0
SUMMARY:Artificial Intelligence for Medical Image Analysis: Our Approaches
UID:tag:localist.com\,2008:EventInstance_36395295766217
URL:https://events.mtu.edu/event/artificial_intelligence_for_medical_image_
 analysis_our_approaches_8911
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