Landmaba
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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 MoreJul. 21, 2024
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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 MoreJul. 21, 2024
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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 MoreJul. 21, 2024
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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 MoreJul. 15, 2024
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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 MoreJun. 24, 2024
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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 MoreJun. 23, 2024
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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 MoreJun. 20, 2024
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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 MoreJun. 20, 2024
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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 MoreJun. 20, 2024
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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 MoreJun. 20, 2024