Landmaba

  • Vanderbilt University

    High-frequency ultrasound accuracy in preoperative cutaneous melanoma assessment: A meta-analysis

    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

    Jul. 21, 2024

  • Vanderbilt University

    Machine Intelligence and Neural Technologies (MINT)

    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

    Jul. 21, 2024

  • Vanderbilt University

    Vanderbilt Dermatology Translational Research Clinic (VDTRC)

    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

    Jul. 21, 2024

  • Vanderbilt University

    AI Summer School 2024

    VALIANT, ADVANCE, ACCRE, CS, DSI, ECE, LIVE, VKC, VINSE, VISE & Jean and Alexander Heard Libraries are co-hosting the AI Summer School / 2024 Release. Join us for an immersive week-long summer school focused on the cutting-edge advancements and practical applications of deep learning and AI. This program… Read More

    Jul. 15, 2024

  • Vanderbilt University

    a VALIANT Effort | June 2024

    Friends,  On behalf of the VALIANT Steering Committee, it is my pleasure to introduce the first issue of a VALIANT Effort, our monthly newsletter. Since our May launch, I have had the immense pleasure of meeting with many passionate members of our… Read More

    Jun. 24, 2024

  • Vanderbilt University

    Save the Date: AI Summer School / 2024

    VALIANT, ADVANCE, ACCRE, CS, DSI, ECE, LIVE, VKC, VINSE, VISE & Jean and Alexander Heard Libraries are co-hosting the AI Summer School / 2024… Read More

    Jun. 23, 2024

  • Vanderbilt University

    Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization

    Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, and Bennett A. Landman. “Deep Conditional Generative Model for Longitudinal Single-slice Abdominal Computed Tomography Harmonization.” Journal of Medical Imaging (Bellingham), vol. 11, no. 2, 024008, March… Read More

    Jun. 20, 2024

  • Vanderbilt University

    Empirical assessment of the assumptions of ComBat with diffusion tensor imaging

    Michael E. Kim, Chenyu Gao, Leon Y. Cai, Qi Yang, Nancy R. Newlin, Karthik Ramadass, Angela Jefferson, Derek Archer, Niranjana Shashikumar, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Lori L. Beason-Held, Susan M. Resnick, Stefan Winzeck, Kurt G. Schilling, Panpan Zhang, Daniel Moyer, and Bennett A. Landman. “… Read More

    Jun. 20, 2024

  • Vanderbilt University

    Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites

    Hanliang Xu, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Praitayini Kanakaraj, Aravind R. Krishnan, Lucas W. Remedios, Nazirah Mohd Khairi, Kimberly Pechman, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Išgum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, and Bennett A. Landman. “Evaluation of Mean Shift, ComBat,… Read More

    Jun. 20, 2024

  • Vanderbilt University

    Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation

    Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Išgum, and Bennett A. Landman. “Inter-vendor Harmonization of CT Reconstruction Kernels Using Unpaired Image Translation.” Proceedings of SPIE Medical Imaging 2024: Image Processing, vol. Read More

    Jun. 20, 2024