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Medical-image Analysis and Statistical Interpretation Lab

Deep Brain Stimulation Category

OVAL_qual

Automated, open-source segmentation of the Hippocampus and amygdala with the open Vanderbilt archive of the temporal lobe

Aug. 28, 2021—Plassard, Andrew J., Shunxing Bao*, Maureen McHugo, Lori Beason-Held, Jennifer U. Blackford, Stephan Heckers, and Bennett A. Landman. “Automated, open-source segmentation of the Hippocampus and amygdala with the open Vanderbilt archive of the temporal lobe.” Magnetic Resonance Imaging 81 (2021): 17-23. Full text: https://www.sciencedirect.com/science/article/abs/pii/S0730725X21000692 Abstract Examining volumetric differences of the amygdala and anterior-posterior regions of the...

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Machine - learning approximat ion of an efficacy map. Patient MRI image overlaid with probability of positive response assessed on a sliding patch basis (assuming an infeasible stimulation at every voxel). Green crosses indicate actual intraope rative stimulation locations with a positi ve response. Blue circles indicate intraoperative stimulation locations with a null response.

Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps

Dec. 10, 2018—Bermudez, C., Rodriguez, W., Huo, Y., Hainline, A. E., Li, R., Shults, R., … & Landman, B. A. (2018). Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps. arXiv preprint arXiv:1811.10415. Full Text: https://arxiv.org/abs/1811.10415 Abstract Deep brain stimulation (DBS) has the potential to improve the quality of life of people with a...

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