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VISE - 7th Annual Surgery, Intervention, and Engineering Symposium

When: 
Wednesday, December 12, 2018 - 10:00am to 6:45pm
Location: 
Light Hall - Vanderbilt University

Speakers:

Keynote:

William R. Jarnagin, MD,
Chief of Hepatopancreatobiliary Service,
Leslie Blumgart Chair in Surgery,
Memorial Sloan Kettering Cancer Center

1:30 p.m. – 2:30 p.m.
Light Hall Room 202

 

Invited Lecture #1

Gregory S. Fischer, PhD
William Smith Dean’s Professor, Mechanical Engineering & Robotics Engineering
Director, Worcester Polytechnic Institute

Title:
Image-Guided Robotic Surgery: In-situ MRI Guidance for Enhancing Robot-Assisted Cancer Therapy

Bio:
Dr. Gregory Fischer is the William Smith Dean’s Professor of Mechanical Engineering & Robotics Engineering with an appointment in Biomedical Engineering at Worcester Polytechnic Institute. He received his PhD from Johns Hopkins University in Mechanical Engineering and an MS in Electrical Engineering where he was a member of the NSF Engineering Research Center for Computer Integrated Surgery (ERC-CISST). He is the Director of PracticePoint at WPI (http://practicepoint.org), a newly launched MassTech-supported research, development, and commercialization alliance centered built to advance healthcare technologies and launch new smart and secure medical cyber-physical systems. PracticePoint comprises integrated advanced manufacturing capabilities co-located with point of practice clinical care settings, and is poised to advance healthcare in: Medical Cyber-physical Systems, Surgical Robots, Medical Imaging and Image-Guidance, Sensing, Actuation, and Control of Medical Devices, Wearable robotics, Advanced manufacturing for personalized healthcare, Cybersecurity for medical devices, Data analytics for clinical decision support. Dr. Fischer also leads the WPI Automation and Interventional Medicine Robotics Research Laboratory (AIM Lab: http://aimlab.wpi.edu) with research focus including: an MRI-compatible robotic system for image-guided conformal ablation of deep brain tumors currently in pre-clinical trials, a robotic system for precision targeted MRI-guided prostate cancer biopsy currently in clinical trials, wearable soft robotic devices for rehabilitation and assistance with activities of daily living, and social robots for providing therapy.

 

Invited Lecture #2

Jin U. Kang, PhD,
Jacob Suter Jammer Professor,
Professor of Electrical Engineering,
Johns Hopkins University

12:40 p.m – 1:25 p.m.
Light Hall 202

Title:
Image-Guided Advanced Surgical Systems and Techniques for Microsurgery

Abstract: The advances in 3D optical imaging and sensing technologies are enabling the development of the next generation of smart surgical devices and systems.  In this intelligent “smart” surgical platform, optical sensors/imagers, robotics, and computers are combined with surgical devices and systems to attain surgical outcomes beyond free-hand human capabilities. In our laboratories, we have been developing real-time intraoperative optical coherence tomography systems specifically for the development of practical and smart microsurgical tools and 3-D image guided surgical systems that enhance the surgeon’s ability to visualize optically transparent tissues, to identify and track visually transparent tissue edges and tools, to maintain safe surgical positions, to detect early instrument contact with tissue and to assess depth of instrument penetration into tissues.  These innovations enhance the surgeon’s ability to achieve surgical objectives, diminish surgical risk, and improve outcomes.  In this talk, I will summarize our recents efforts in optical image-guided robotic surgical procedures and future directions.

 

Invited Lecture #3

S. Kevin Zhou, PhD
Professor, Institute of Computing Technology, Chinese Academy of Sciences

Title: 
Machine learning + knowledge modeling: medical image recognition, segmentation, parsing

Abstract: 
The “Machine learning + Knowledge modeling” approaches, which combine machine learning with domain knowledge, enable us to achieve start-of-the-art performances for many tasks of medical image recognition, segmentation and parsing. In this talk, we present real success stories of such approaches and proceed to elaborate deep learning, the most powerful machine learning method. We demonstrate that an extra performance boost is rendered when deep learning is combined with knowledge modeling.

Bio:
Dr. S. Kevin Zhou is currently a professor at Institute of Computing Technology, Chinese Academy of Sciences. He was a Principal Key Expert of Image Analysis at Siemens Healthcare Technology. His research interests lie in computer vision and machine learning and their applications to medical image recognition and parsing, face recognition and modeling, etc. Dr. Zhou has published over 150 book chapters and peer-reviewed journal and conference papers, has registered over 250 patents and inventions, has written two research monographs, and has edited three books. His two most recent books are entitled “Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches, SK Zhou (Ed.)” and “Deep Learning for Medical Image Analysis, SK Zhou, H Greenspan, DG Shen (Eds.).” He has won multiple awards honoring his publications, patents and products, including Thomas Alva Edison Patent Award (2013), R&D 100 Award or Oscar of Invention (2014), Siemens Inventor of the Year (2014), and UMD ECE Distinguished Aluminum Award (2017). He has been an associate editor for IEEE Trans Medical Imaging and Medical Image Analysis journals，an area chair for CVPR and MICCAI, and elected as a fellow of American Institute of Biological and Medical Engineering (AIMBE).

3:25 p.m. – 4:10 p.m.
Light Hall 202

 

Invited Lecture #3

Gregory S. Fischer, PhD
William Smith Dean’s Professor, Mechanical Engineering & Robotics Engineering
Director, PracticePoint@WPI

Title:
Image-Guided Robotic Surgery: In-situ MRI Guidance for Enhancing Robot-Assisted Cancer Therapy

Bio:
Dr. Gregory Fischer is the William Smith Dean’s Professor of Mechanical Engineering & Robotics Engineering with an appointment in Biomedical Engineering at Worcester Polytechnic Institute. He received his PhD from Johns Hopkins University in Mechanical Engineering and an MS in Electrical Engineering where he was a member of the NSF Engineering Research Center for Computer Integrated Surgery (ERC-CISST). He is the Director of PracticePoint at WPI (http://practicepoint.org), a newly launched MassTech-supported research, development, and commercialization alliance centered built to advance healthcare technologies and launch new smart and secure medical cyber-physical systems. PracticePoint comprises integrated advanced manufacturing capabilities co-located with point of practice clinical care settings, and is poised to advance healthcare in: Medical Cyber-physical Systems, Surgical Robots, Medical Imaging and Image-Guidance, Sensing, Actuation, and Control of Medical Devices, Wearable robotics, Advanced manufacturing for personalized healthcare, Cybersecurity for medical devices, Data analytics for clinical decision support. Dr. Fischer also leads the WPI Automation and Interventional Medicine Robotics Research Laboratory (AIM Lab: http://aimlab.wpi.edu) with research focus including: an MRI-compatible robotic system for image-guided conformal ablation of deep brain tumors currently in pre-clinical trials, a robotic system for precision targeted MRI-guided prostate cancer biopsy currently in clinical trials, wearable soft robotic devices for rehabilitation and assistance with activities of daily living, and social robots for providing therapy.

 

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