Landmaba

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

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

Ghosh, Shramana; Rector, John A.; Saknite, Inga; Smith, Hayden B.; Walsh, Kristy M.; Byram, Brett C.; Bellan, Leon M.; Tkaczyk, Eric R. “mTG-Gelatin phantoms as standardized testbeds for skin biomechanical measurements with Myoton.” Journal of the Mechanical Behavior of Biomedical Materials, 2024, 106651, https://doi.org/10.1016/j.jmbbm.2024.106651. Read More

Zhang, Liting; Zhou, Xin Maizie; Mallory, Xian. “SCCNAInfer: a robust and accurate… Read More

Title: The National Competence Center for Artificial Intelligence at University Leipzig in Germany – An Opportunity for International Collaboration Who: Jens Meiler, Director for Applied AI and Big Data in Biomedical Research and Member of the Board, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), University Leipzig… Read More

Friends,  While we may be experiencing the heat of Nashville’s famous summers, VALIANT is not wilting. Our first alumna defended her dissertation! Congratulations Dr. Xin Yu on her Computer Science thesis, “3D-2D Representation Learning for Longitudinal Analysis using Single-Single CT Scans.” Xin… Read More

Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, P. Ellen Grant, & Polina Golland. (2024). SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Transactions on Medical Imaging, 1-12. https://doi.org/10.1109/TMI.2024.3411989 Tracking movement accurately in medical imaging, like MRI scans… Read More

Georgina E. Sellyn, Andrea A. Lopez, Shramana Ghosh, Michael C. Topf, Heidi Chen, Eric Tkaczyk, & Jennifer G. Powers. (2024). High-frequency ultrasound accuracy in preoperative cutaneous melanoma assessment: A meta-analysis. Journal of the European Academy of Dermatology and Venereology. https://doi.org/10.1111/jdv.20179 High-frequency ultrasound (HFUS) is a safe… Read More

Machine Intelligence and Neural Technologies (MINT) The MINT Lab pioneers next-generation AI through rigorous mathematical and geometric deep learning, addressing limitations in sample/label efficiency, explainability, brittleness, knowledge compression, and lifelong learning. Director: Soheil Kolouri   The MINT lab focuses on developing next-generation AI models that are sample-efficient, generalizable, robust,… Read More

Vanderbilt Dermatology Translational Research Clinic (VDTRC) Making skin measurements for clinical impact Director: Eric Tkaczyk https://vdtrc.org/ RESEARCH. Currently, my team focuses on three externally funded directions: 1. Erythema analysis by artificial intelligence (AI). We have developed AI technology to measure skin erythema quickly and reproducibly using photographs. This… Read More