Welcome to the August 2023 issue of the
Medical Imaging and Data Resource Center (MIDRC) newsletter!
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We recently concluded our latest Grand Challenge, the MIDRC mRALE Mastermind Challenge; AI to predict severity on chest radiographs. This recorded meeting provided an opportunity for the top-ranked finishers to present on and discuss their methodologies with other Challenge registrants and interested members of the data science and medical communities at-large,
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Many thanks to the expert radiologist annotators who participated in the annotation event and scored portable chest radiographs for COVID severity in terms of mRALE score to provide a reference standard for our mRALE Mastermind Challenge.
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AAPM's 65th Annual Meeting, was held in-person in Houston, TX from July 23-27, 2023. Through symposia, panel discussions, poster presentations, workshops and more, the meeting presented emerging science, best practices and clinical techniques. MIDRC was discussed and presented in a number of symposia, and also had a well-trafficked booth in the Exhibit Hall, which highlighted the accomplishments of our investigators and allowed attendees to explore online the data commons and various developed tools and resources in-person. Check out a few pictures from the meeting below - if you weren't able to attend this year, we hope to see you next summer in Los Angeles
(July 21-25, 2024)!
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MIDRC was represented in Washington, DC in May during the Academy for Radiology & Biomedical Imaging's (the Academy) 11th annual Medical Imaging Technology Showcase on Capitol Hill, a series of meetings with Congressional representatives and imaging stakeholders from academia, industry, and government agencies, as well as a reception and showcase display of current research work in academic radiology departments from around the country.
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Investigator Dr. Judy Wawira-Gichoya (Emory University) speaks on her work during the Academy's Research Roundtable meeting.
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Lead MIDRC Investigator Dr. Maryellen Giger (University of Chicago) speaks with Dr. Caleb Gilchrist, member of Rep. Danny Davis' (D-IL) staff, on MIDRC and the importance of Congressional support for medical imaging research federal funding.
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MIDRC Researcher Spotlights
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Lubomir Hadjiyski, PhD
Lubomir received his B.S. and M.S. degrees from the Technical University- Sofia, Bulgaria, and his PhD degree from the Kassel University, Kassel, Germany. After graduation he started as a postdoctoral researcher at Clarkson University in Potsdam, New York. A year later, he continued as a postdoctoral researcher at the Department of Radiology at the University of Michigan. He remained there and is now a Professor in the Department of Radiology. He does research in the areas of computer-aided diagnosis, artificial intelligence, machine learning, predictive models, image analysis, medical imaging, and observer performance. He is a member of the Quantitative Imaging Network (QIN) at the National Cancer Institute and the Quantitative Imaging Biomarkers Alliance (QIBA) at RSNA. He has co-organized multiple AAPM, SPIE, and NCI sponsored Grand Challenges.
Lubomir is part of MIDRC collaborative research project 9 and the Grand Challenge Working Group and has co-organized MIDRC's Grand Challenges on COVID classification and the mRALE Mastermind Challenge.
Lubomir lives in Ann Arbor, Michigan, with his wife, Veronica, who utilizes her MS in Psychology with her artistic pursuits. His children blend their passion for computers with their appreciation for the arts, balancing their parents’ interests. His daughter, a software engineer, recently got married and is enjoying the Milwaukee, Wisconsin, lifestyle, cheese most definitely included. His son is currently an undergraduate studying Computer Science at the University of Rochester in New York and is navigating college life. Lubomir enjoys a nice hike on local trails and is tempted to play tennis whenever a court is nearby. After all these years, he is still a tough challenger and takes every opportunity to champion the court whenever he plays with his visiting children.
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Carol C. Wu, MD
Carol C. Wu, MD, is Professor of Radiology at the University of Texas MD Anderson Cancer Center in Houston, Texas. She served as the Big Data Committee Chair of the Society of Thoracic Radiology from 2016 to 2022 and has been a member of the Machine Learning and Informatics Committees of the RSNA and Informatics Commission of the ACR. In these roles, she has been eager to bridge the thoracic imaging and data science communities and to develop building blocks for development of practical clinical AI tools. She has provided her thoracic imaging expertise in leading and designing annotation efforts for RSNA machine learning challenges related to thoracic imaging. With these past experiences, Dr. Wu works with the MIDRC Consortium to generate relevant annotations and labels of thoracic radiographs and CT and organize grand challenges to stimulate research and utilization of MIDRC data.
Dr. Wu received her Bachelor of Science degree in Biology from Caltech in Pasadena, California. She completed medical school, Diagnostic Radiology Residency and Cardiothoracic Imaging Fellowship at UCLA. She worked at Massachusetts General Hospital in Boston for six years before moving back to the Houston Area where she previously went to high school. She enjoys traveling and spending time with her family and friends. She cares for community cats and is now known as The Cat Lady on her street.
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Jeffrey R. Sachs, MD
American College of Radiology® (ACR®) COVID-19 Imaging Research Registry™ (CIRR) site Co-Investigator (Co-I), Jeffrey R. Sachs, MD, has been instrumental in contributing medical images from his university to CIRR, which has provided 75k+ images to the Medical Imaging and Data Resource Center (MIDRC).
Sachs received his medical degree from Michigan State University College of Human Medicine. He is certified in diagnostic radiology, with a subspecialty certification in neuroradiology. Sachs has been practicing as a neuroradiologist for six years and is now an associate professor of radiology at Wake Forest University School of Medicine. His background in neuroradiology led him to become a primary COVID-19 researcher. He has co-authored and contributed research for more than 20 professional articles on the topics of neuroradiology and CT, MRI and ultrasound.
In his free time, Sachs is an avid golfer. He is attempting to play the world’s top 100 golf courses. He has two holes-in-one and counting. Sachs is the proud father of two daughters who he is hoping will become his golf travel partners someday.
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If you are interested in becoming a MIDRC partner please contact kpizer@bsd.uchicago.edu
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