Waddelma
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Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression
Karim, Helmet T.; Gerlach, Andrew; Butters, Meryl A.; Krafty, Robert; Boyd, Brian D.; Banihashemi, Layla; Landman, Bennett A.; Ajilore, Olusola; Taylor, Warren D.; Andreescu, Carmen. “Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression“. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2024. Read MoreDec. 16, 2024
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VALIANT / MASI Chalk Talk Deep Dive: Diffusion Imaging
Join us on Monday, January 6th from 10:00 AM – 12:00 PM in FGH 308 for a VALIANT / MASI Chalk Talk Deep Dive on Diffusion Imaging with Dr. Bennett Landman. Read MoreDec. 12, 2024
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a VALIANT Effort | November 2024
November 2024 Friends, As we enter the holiday season, I am especially thankful for our Vanderbilt community. I spend most of the space in these letters talking about AI and translation as I am continually awed by our vibrant energy here, spurred again by the … Read MoreNov. 26, 2024
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Intravenous arachnoid granulation hypertrophy in patients with Parkinson disease
Leguizamon, M.; McKnight, C.D.; Ponzo, T.; Elenberger, J.; Eisma, J.J.; Song, A.K.; Trujillo, P.; Considine, C.M.; Donahue, M.J.; Claassen, D.O.; Hett, K. “Intravenous arachnoid granulation hypertrophy in patients with Parkinson disease.” npj Parkinson’s Disease, Volume 10, Issue 1, 2024, Article 177, DOI: 10.1038/s41531-024-00796-x. Read MoreNov. 21, 2024
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Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking
Tang, N., Chen, M., Ning, Z., Bansal, A., Huang, Y., McMillan, C., Li, T.J.-J., “Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking,” Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC, 2024, pp. 40-46, DOI: 10.1109/VL/HCC60511.2024.00015. Read MoreNov. 21, 2024
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Overcoming Labeled Data Barriers in Deep Ultrasound Imaging
Pan, Y.-C.; Vienneau, E.; Lefevre, R.; Eagle, S.; Byram, B. “Overcoming Labeled Data Barriers in Deep Ultrasound Imaging.” European Signal Processing Conference, 2024, pp. 770-774. Deep networks have significantly advanced medical imaging. Initially, they were used for diagnosing conditions by interpreting… Read MoreNov. 21, 2024
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Aspiring to clinical significance: Insights from developing and evaluating a machine learning model to predict emergency department return visit admissions
Zhang, Y.; Huang, Y.; Rosen, A.; Jiang, L.G.; McCarty, M.; RoyChoudhury, A.; Han, J.H.; Wright, A.; Ancker, J.S.; Steel, P.A.D. “Aspiring to clinical significance: Insights from developing and evaluating a machine learning model to predict emergency department return visit admissions.” PLOS Digital Health, Volume 3, Issue… Read MoreNov. 21, 2024
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Dual-tuned floating solenoid balun for multi-nuclear MRI and MRS
Yang, Y.; Zhang, B.; Lu, M.; Yan, X. “Dual-tuned floating solenoid balun for multi-nuclear MRI and MRS.” Magnetic Resonance Imaging, Volume 115, 2025, Article 110268, DOI: 10.1016/j.mri.2024.110268. This study introduces a new, compact dual-tuned floating balun designed to reduce unwanted… Read MoreNov. 21, 2024
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Insufficient evidence for interactive or animated graphics for communicating probability
Ancker, J.S.; Benda, N.C.; Zikmund-Fisher, B.J. “Insufficient evidence for interactive or animated graphics for communicating probability.” Journal of the American Medical Informatics Association, Volume 31, Issue 11, 2024, pp. 2760-2765, DOI: 10.1093/jamia/ocae123. This study examined whether interactive or animated… Read MoreNov. 21, 2024
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Reductions in the white–gray functional connectome in preclinical Alzheimer’s disease and their associations with amyloid and cognition
Xu, L.; Zhao, Y.; Choi, S.; Li, M.; Schilling, K.G.; Zu, Z.; Rogers, B.P.; Ding, Z.; Anderson, A.W.; Landman, B.A.; Gore, J.C.; Gao, Y. “Reductions in the white–gray functional connectome in preclinical Alzheimer’s disease and their associations with amyloid and cognition.” Alzheimer’s and Dementia, 2024,… Read MoreNov. 21, 2024