Research

  • Vanderbilt University

    Genetic Improvement for DNN Security

    Baxter, Hunter, Huang, Yu, & Leach, Kevin. (2024). Genetic improvement for DNN security. In Proceedings of the 13th International Genetic Improvement Workshop (GI@ICSE 2024), Lisbon, Portugal, April 16, 2024, Pages 11-12. https://doi.org/10.1145/3643692.3648261 This study explores a novel application of Genetic Improvement (GI) in enhancing the security of Deep Neural Networks… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Stereographic Spherical Sliced Wasserstein Distances

    Tran, Huy, Bai, Yikun, Kothapalli, Abihith, Shahbazi, Ashkan, Liu, Xinran, Martin, Rocio Diaz, & Kolouri, Soheil. (2024). Stereographic spherical sliced Wasserstein distances. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024, Volume 235, Pages 48494-48564. This study presents a new method… Read More

    Sep. 22, 2024

  • Vanderbilt University

    An Experimental Framework for Evaluating the Safety and Robustness of UAV Controllers

    Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). An experimental framework for evaluating the safety and robustness of UAV controllers. In Proceedings of the 2024 AIAA Aviation Forum and ASCEND, Las Vegas, NV, July 29 – August 2, 2024. https://doi.org/10.2514/6.2024-4548 This study focuses on improving the safety, robustness, and… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network

    Bao, Shunxing, Guo, Junlin, Lee, Ho Hin, Deng, Ruining, Cui, Can, Remedios, Lucas W., Liu, Quan, Yang, Qi, Xu, Kaiwen, Yu, Xin, Li, Jia, & Li, Yike. (2024). Mitigating over-saturated fluorescence images through a semi-supervised generative adversarial network. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion

    Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E., Remedios, Samuel W., Pham, Dzung L., Carass, Aaron, & Prince, Jerry L. (2024). Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, May… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Functional correlation tensors in brain white matter and the effects of normal aging

    Xu, Lyuan, Gao, Yurui, Li, Muwei, Lawless, Richard, Zhao, Yu, Schilling, Kurt G., Rogers, Baxter P., Anderson, Adam W., Ding, Zhaohua, Landman, Bennett A., & Gore, John C. (2024). Functional correlation tensors in brain white matter and the effects of normal aging. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-024-00914-6… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Reproducible and highly miniaturized bazooka RF Balun using a printed capacitor

    Lu, Ming, Yang, Yijin, Chai, Shuyang, & Yan, Xinqiang. (2024). Reproducible and highly miniaturized bazooka RF Balun using a printed capacitor. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.30268 This study focuses on advancing MRI technology by improving a critical component known as the balun, which plays a key role… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry

    Wengler, Kenneth, Trujillo, Paula, Cassidy, Clifford M., & Horga, Guillermo. (2024). Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry. Neuropsychopharmacology. https://doi.org/10.1038/s41386-024-01934-y Neuromelanin-sensitive MRI is an advanced imaging technique that can detect neuromelanin, a byproduct of brain chemicals like dopamine and norepinephrine, which are important for regulating mood… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Benchmarking clustering, alignment, and integration methods for spatial transcriptomics

    Hu, Yunfei; Xie, Manfei; Li, Yikang; Rao, Mingxing; Shen, Wenjun; Luo, Can; Qin, Haoran; Baek, Jihoon; Zhou, Xin Maizie. “Benchmarking clustering, alignment, and integration methods for spatial transcriptomics.” Genome Biology, volume 25, Article number: 212 (2024). https://doi.org/10.1186/s13059-024-02665-w. Published: 09 August 2024. Understanding the complexities… Read More

    Aug. 22, 2024

  • Vanderbilt University

    Parallel signatures of cognitive maturation in primate antisaccade performance and prefrontal activity

    Zhu, Junda; Zhou, Xin Maizie; Constantinidis, Christos; Salinas, Emilio; Stanford, Terrence R. “Parallel signatures of cognitive maturation in primate antisaccade performance and prefrontal activity.” iScience, Volume 27, Issue 8, 16 August 2024, 110488, https://doi.org/10.1016/j.isci.2024.110488. In this study, researchers examined how our ability to control… Read More

    Aug. 22, 2024