January 2019

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Holiday - University Closed (2 days)

Holiday - University Closed (2 days)

Event Date/Time: 
December 31, 2018 - 12:00am to January 1, 2019 - 12:59pm
Event Location: 
Speaker: 
New Year's Day Holiday - University closed for two full days
 
 
 
 
 
 
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BME/IQ Speaker: Ujwal Chaudhary, PhD

BME/IQ Speaker: Ujwal Chaudhary, PhD

Event Date/Time: 
January 11, 2019 - 11:00am
Event Location: 
IQ Atrium (775 Woodlot Dr)
Speaker: 
Ujwal Chaudhary
Faculty Seminar

Institute of Medical Psychology & Behavioral Neurobiology

Eberhard-Karls-University of Tubingen, Germany and Wyss Center for Bio and Neuroengineering, Geneva, Switzerland

 

Research interests:

Non-invasive and Invasive Brain Computer Interfaces for communication, Neurorehabilitation, Brain Connectivity, Wheelchair for Paralyzed Patients, Neurofeedback, Electroencephalogram, Near Infrared Spectroscopy, transcranial Direct Current Stimulation, Autism, Cerebral Palsy, Amyotrophic Lateral Sclerosis and Biomedical Signal Processing.

01/11/2019 - 11:00am
 
 
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BME/IQ Speaker: Adam Alessio, PhD

BME/IQ Speaker: Adam Alessio, PhD

Event Date/Time: 
January 16, 2019 - 11:00am
Event Location: 
IQ Atrium (775 Woodlot Dr)
Speaker: 
Adam Alessio
Quantitative Image Analysis with Applications to Cardiovascular, Oncologic, and Pediatric Care

This lecture will present a survey of recent research projects to introduce the IQ community to ongoing efforts in the Alessio lab. We will discuss a) dynamic contrast enhanced 4D analysis for quantitative perfusion estimation, b) custom spectral CT imaging for atherosclerosis, c) machine learning strategies for grading thyroid cancer, and d) new AI approaches for detection of sub-clinical rib fractures in pediatrics.

Dr. Alessio’s research group solves clinically motivated research problems with a focus on quantifying severity of disease from medical images and data for more precise patient care. Current efforts center on translational projects for topics including hybrid machine learning for quantitative diagnostics, cardiac perfusion estimation, quantitative PET and CT imaging, radiation dose optimization, and system modeling. Prior joining MSU, Dr. Alessio was a professor of Radiology at the University of Washington. He received his Ph.D. in Electrical Engineering at the University of Notre Dame and post-doctoral training in nuclear medicine physics at the University of Washington.

 

Join from PC, Mac, iOS or Android: https://msu.zoom.us/j/740946330

Or join by phone: +1 646 876 9923 / Meeting ID: 740 946 330

01/16/2019 - 11:00am
 
 
Brews and Views

Brews and Views

Event Date/Time: 
January 18, 2019 - 5:00pm to 7:00pm
Event Location: 
IQ Atrium (775 Woodlot Dr)
Speaker: 
Arthur Ward, Mi Zhang
Should my phone diagnose my mental health?

Our phones know a great deal about us. They collect an impressive amount of personal data, including voice and text correspondences, internet and social media, spending habits, stairs climbed, and geographic location. They already can make assessments about our health, but what additional information can they glean about our mental health? Soon, phones could predict if we’re unhappy, depressed, or even suicidal, and might urge us to seek mental health services. Should your phone then reveal that diagnosis to your doctor, family, boss, or advisor so they might take further action? While such capabilities could effectively address mental health needs, they simultaneously raise ethical questions about privacy, algorithm transparency, and the potential for corporate manipulation of our emotions. Join us in discussing these benefit/burden thresholds.

01/18/2019 - 5:00pm to 7:00pm
 
 
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