Prior Talks in the McCance Center Lecture Series
- 7/12/21: Georges Naasan, MD, Center for Cognitive Health, Department of Neurology, Mt. Sinai Hospital, NY
Otto Rapalino, MD, Department of Neuroradiology, Mass General, McCance Center Faculty Member
- 5/17/21: Leigh Hochberg, MD, PhD and Haoqi Sun, PhD, Department of Neurology, Mass General and McCance Center Faculty Members
- 5/3/21: Giovanni Fava, MD, Department of Psychiatry, University of Bologna, Italy – Watch recording
- 4/19/21: Martin Zhang, MD, PhD, Department of Neurology, Mass General, McCance Center Faculty Member
Raja Bhattacharyya, PhD, Department of Neurology, Mass General, McCance Center Faculty Member
- 4/5/21: Gabriel de Erausquin, MD, PhD, MSc, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health, San Antonio
- 3/22/21: Sudha Seshadri, MD, DM, Department of Neurology, UT Health, San Antonio
- 3/8/21: James Cole, PhD, Department of Neuroimage Analysis, University College of London
- 2/22/21: Erin Dunn, ScD, MPH, Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine
Jacqueline Lane, PhD, Department of Anesthesia, Mass General, McCance Center Faculty Member
- 2/8/21: Karen Buch, MD, Department of Radiology, Mass General
Randy Gollub, MD, PhD, Director of Imaging Science, McCance Center
- 1/25/21: Christopher Anderson, MD, MMSc, Associate Director, Acute Stroke Service, Mass General, McCance Center Faculty Member
2/12/2021: Neuroimaging Symposium
This symposium, sponsored by the McCance Center, the Martinos Center and Harvard-MIT Health Sciences and Technology, highlighted advances in neuroimaging technologies and methods for applying machine learning to increasingly large-scale data sets with the goal of providing non-invasive, reliable indicators of brain health, resilience and vulnerability before clinical manifestations of disease. Speakers included Randy Gollub, MD, PhD, Director of Imaging Science, McCance Center for Brain Health, Simon Eickhoff, MD, PhD, Director of the Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf and many others.Watch recorded talks
7/15/2020: Machine Learning (ML) Generated Indices of ‘Brain Health’ from Medical Images
Presented on July 15, 2020 by trainees in the MIT Health Sciences Technology (HST) division to their peers and faculty of the Neuroimaging Training Program.
Advances in technologies that enable human brain imaging to inform clinical care are proliferating at an astounding pace. The half-day virtual symposium, “Machine Learning (ML) Generated Indices of ‘Brain Health’ from Medical Images,” opened with an expert overview of the field followed by succinct reviews of a range of topics relevant to the use of neuroimaging to improve and/or maintain brain health. These include applications of machine learning to high-fidelity brain image reconstruction, statistical techniques for robust analysis of brain data, machine learning applications to treatment design, and ethical and regulatory challenges to deploying any of these solutions. Each of the graduate student presenters selected their specific topic to harmonize across the goal of the symposium and their own thesis project domain.
The program was sponsored by the McCance Center for Brain Health at MGH, as part of our mission to harness these advances to identify and study neuroimaging indicators of brain health. As these presentations make clear, while there is still significant work to be done before neuroimaging becomes a cornerstone of primary care, the value of neuroimaging to yield meaningful information about brain health is unquestionable.Watch recorded talks
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