Research
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Precision targeting in the globus pallidus interna: insights from the multicenter, prospective, blinded VA/NINDS CSP 468 study
D’Souza, S., Seshadri, V., Toms, J., D’Haese, P., Dawant, B. M., Li, R., Shah, H. P., Koch, P., Larson, P., & Holloway, K. L. (2024 ÎåÒ»²è¹Ý¶ù). Precision targeting in the globus pallidus interna: insights from the multicenter, prospective, blinded VA/NINDS CSP 468 study. Journal of Neurosurgery, 141(6),… Read MoreDec. 16, 2024 ÎåÒ»²è¹Ý¶ù
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ChatGP-Me?
Levy, E., & Landman, B. (2024 ÎåÒ»²è¹Ý¶ù). ChatGP-Me?. Journal of Medical Imaging, 11(5), 050101. doi: 10.1117/1.JMI.11.5.050101 The editorial evaluates how the GenAI technologies available in 2024 ÎåÒ»²è¹Ý¶ù (without specific coding) could impact scientific processes, exploring two AI tools with the aim of demonstrating what… Read MoreDec. 16, 2024 ÎåÒ»²è¹Ý¶ù
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Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process
Collins, Benjamin X.; Belisle-Pipon, Jean-Christophe; Evans, Barbara J.; Ferryman, Kadija; Jiang, Xiaoqian; Nebeker, Camille; Novak, Laurie; Roberts, Kirk; Were, Martin; Yin, Zhijun; Ravitsky, Vardit; Coco, Joseph; Hendricks-Sturrup, Rachele; Williams, Ishan; Clayton, Ellen W.; Malin, Bradley A. “Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process”… Read MoreDec. 16, 2024 ÎåÒ»²è¹Ý¶ù
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3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments
Davalos, Eduardo; Zhang, Yike; Ashwin, T.S.; Fonteles, Joyce Horn; Timalsina, Umesh; Biswas, Gautam. “3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments”. ACM International Conference Proceeding Series, 2024 ÎåÒ»²è¹Ý¶ù, pp. 175-183. DOI: 10.1145/3686215.3688380. This study presents a new method for tracking where people are looking in… Read MoreDec. 16, 2024 ÎåÒ»²è¹Ý¶ù
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“Math is a pain!”: Understanding challenges and needs of the Machine Learning community on Stack Overflow
Fang, Zihan; Huang, Yu. “‘Math is a pain!’: Understanding challenges and needs of the Machine Learning community on Stack Overflow“. Proceedings of the ACM on Human-Computer Interaction, vol. 8, no. CSCW2, 2024 ÎåÒ»²è¹Ý¶ù, p. 451. DOI: 10.1145/3686990.  Stack Overflow (SO)… Read MoreDec. 16, 2024 ÎåÒ»²è¹Ý¶ù
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Modeling Marronage: GIS Heuristics of Refuge Affordances in Colonial St. Croix
Kohut, Lauren E.; Wernke, Steven A.; Dunnavant, Justin. “Modeling Marronage: GIS Heuristics of Refuge Affordances in Colonial St. Croix“. Journal of Archaeological Method and Theory, vol. 32, no. 1, 2025, pp. 2-32. DOI: 10.1007/s10816-024-09680-7  On the Caribbean island of St. Read MoreDec. 16, 2024 ÎåÒ»²è¹Ý¶ù
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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 ÎåÒ»²è¹Ý¶ù. Read MoreDec. 16, 2024 ÎåÒ»²è¹Ý¶ù
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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 ÎåÒ»²è¹Ý¶ù, Article 177, DOI: 10.1038/s41531-024-00796-x. Read MoreNov. 21, 2024 ÎåÒ»²è¹Ý¶ù
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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 ÎåÒ»²è¹Ý¶ù, pp. 40-46, DOI: 10.1109/VL/HCC60511.2024 ÎåÒ»²è¹Ý¶ù.00015. Read MoreNov. 21, 2024 ÎåÒ»²è¹Ý¶ù
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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 ÎåÒ»²è¹Ý¶ù, pp. 770-774.  Deep networks have significantly advanced medical imaging. Initially, they were used for diagnosing conditions by interpreting… Read MoreNov. 21, 2024 ÎåÒ»²è¹Ý¶ù