Research

Levy, E., & Landman, B. (2024). 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 (without specific coding) could impact scientific processes, exploring two AI tools with the aim of demonstrating what… Read More

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 More

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, pp. 175-183. DOI: 10.1145/3686215.3688380.    This study presents a new method for tracking where people are looking in… Read More

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, p. 451. DOI: 10.1145/3686990.    Stack Overflow (SO)… Read More

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 More

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 More

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 More

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 More

  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 More

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 More