IEEE C16 Colloquium 5th series

Machine Learning for Medical Imaging Analysis Demystified

Hari/Tanggal/Waktu: Thursday, May 28, 2020 at 10:30 AM Eastern Daylight Time
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Medical imaging refers to several different technologies used to view the human body and its organs or tissues to diagnose, monitor, or treat medical conditions. Commonly used methods include medical X-ray imaging, computed tomography, magnetic resonance imaging (MRI), and ultrasound. ML involves creating algorithms that automatically improve with experience, and relies on pattern recognition to do so. Hence, ML is naturally suited for identifying patterns, which can be well utilized for medical image analysis. In more and more cases, ML systems are identifying patterns that are beyond human perception, so the use of ML in medical image analysis and visualization for computer-aided diagnosis (CAD) is continually increasing. This lecture will outline the fundamental ML processes involved in medical image analysis. Achieving prediction and classification for CAD applications will also be discussed. Some preliminary ideas of 3D reconstruction and viewing as applied in medical image analysis will also be presented.

Pembicara: Dr. Amlan Chakrabarti, Professor University of Calcutta

Short Bio:
Amlan Chakrabarti is a Full Professor in the A.K.Choudhury School of Information Technology at the University of Calcutta. He is an M.Tech. from the University of Calcutta and did his Doctoral research at Indian Statistical Institute, Kolkata. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He is the recipient of the prestigious Department of Science and Technolgy, Govt. of India BOYSCAST fellowship award in Engineering Science (2011), Indian National Science Academy (INSA) Visiting Faculty Fellowship (2014), Japan Society for the Promotion of Science (JSPS) Invitation Research Award (2016), Erasmus Mundus Leaders Award from EU (2017) and Hamied Visiting Professorship from University of Cambridge (2018) and Siksha Ratna Award by Dept. of Higher Education Govt. of West Bengal (2018).
He has also served in various capacities in various higher education organizations both at national and international levels. He has received multiple project grants in the areas of Security in Cyberphysical Systems, Embedded System Design, VLSI Design, Quantum Computing, Computer Vision and Data Science from various national and international agencies (DST, DRDO, MietY, UGC, DAE, Ministry of Social Empowerment, WB-DST, TCS, Intel India etc.).
He is a Sr. Member of IEEE and ACM, Distinguished Speaker of ACM, Secretary of IEEE CEDA India Chapter, Vice President of Data Science Society and Life Member of CSI India.