Landmaba

  • Vanderbilt University

    Identification and multimodal characterization of a specialized epithelial cell type associated with Crohn’s disease

    Li, Jia, Simmons, Alan J., Hawkins, Caroline V., Chiron, Sophie, Ramirez-Solano, Marisol A., Tasneem, Naila, Kaur, Harsimran, Xu, Yanwen, Revetta, Frank, Vega, Paige N., Bao, Shunxing, Cui, Can, Tyree, Regina N., Raber, Larry W., Conner, Anna N., Pilat, Jennifer M., Jacobse, Justin, McNamara, Kara M., Allaman, Margaret M., Raffa, Gabriella… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank scale

    Hoang, Nhung, Sardaripour, Neda, Ramey, Grace D., Schilling, Kurt, Liao, Emily, Chen, Yiting, Park, Jee Hyun, Bledsoe, Xavier, Landman, Bennett A., Gamazon, Eric R., Benton, Mary Lauren, & Capra, John A., Rubinov, Mikail. (2024). Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank… Read More

    Sep. 22, 2024

  • Vanderbilt University

    On the equivalence of demagnetization tensors as discrete cell size approaches zero in three-dimensional space

    Liang, Hao, & Yan, Xinqiang. (2024). On the equivalence of demagnetization tensors as discrete cell size approaches zero in three-dimensional space. Journal of Applied Physics, 136(8), 083903. https://doi.org/10.1063/5.0226603 This study addresses the challenge of accurately calculating the demagnetization field, which is critical in fields like magnetic resonance… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Sociodemographic Differences in Perspectives on Postpartum Symptom Reporting

    Benda, Natalie C., Masterson Creber, Ruth M., Scheinmann, Roberta, Nino de Rivera, Stephanie, Pimentel, Eric Costa, Kalish, Robin B., Riley, Laura E., Hermann, Alison, & Ancker, Jessica S. (2024). Sociodemographic differences in perspectives on postpartum symptom reporting. Applied Clinical Informatics, 15(4), 692-699. https://doi.org/10.1055/s-0044-1788328 This study focuses on… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Characterizing patterns of diffusion tensor imaging variance in aging brains

    Gao, Chenyu, Yang, Qi, Kim, Michael E., Khairi, Nazirah Mohd, Cai, Leon Y., Newlin, Nancy R., Kanakaraj, Praitayini, Remedios, Lucas W., Krishnan, Aravind R., Yu, Xin, Yao, Tianyuan, & Zhang, Panpan. (2024). Characterizing patterns of diffusion tensor imaging variance in aging brains. Journal of Medical Imaging, 11(4), 044007. Read More

    Sep. 22, 2024

  • Vanderbilt University

    Field-of-view extension for brain diffusion MRI via deep generative models

    Gao, Chenyu, Bao, Shunxing, Kim, Michael E., Newlin, Nancy R., Kanakaraj, Praitayini, Yao, Tianyuan, Rudravaram, Gaurav, Huo, Yuankai, Moyer, Daniel, Schilling, Kurt, Kukull, Walter A., & Toga, Arthur W. (2024). Field-of-view extension for brain diffusion MRI via deep generative models. Journal of Medical Imaging, 11(4), 044008. https://doi.org/10.1117/1.JMI.11.4.044008… Read More

    Sep. 22, 2024

  • Vanderbilt University

    Time-Series Few Shot Anomaly Detection for HVAC Systems

    Huang, Yuxin, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). Time-series few shot anomaly detection for HVAC systems. In Proceedings of the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024), Ferrara, Italy, June 4-7, 2024, Volume 58, Issue 4, Pages 426-431. Read More

    Sep. 22, 2024

  • Vanderbilt University

    A Flexible Data-Driven Prognostics Model Using System Performance Metrics

    Diaz-Gonzalez, Abel, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). A flexible data-driven prognostics model using system performance metrics. In Proceedings of the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024), Ferrara, Italy, June 4-7, 2024, Volume 58, Issue 4, Pages 222-227. Read More

    Sep. 22, 2024

  • Vanderbilt University

    Comparison of Transfer Learning Techniques for Building Energy Forecasting

    Das Sharma, Shansita, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). Comparison of transfer learning techniques for building energy forecasting. In Proceedings of the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024), Ferrara, Italy, June 4-7, 2024, Volume 58, Issue 4, Pages 180-185. Read More

    Sep. 22, 2024

  • 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