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Nathan B Jacobs, Ph.D.

Affiliations: 
2010-2022 Computer Science University of Kentucky, Lexington, KY 
 2022- Computer Science & Engineering Washington University, Saint Louis, St. Louis, MO 
Area:
computer vision, remote sensing, machine learning
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Parents

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Robert B. Pless grad student 2005-2010 Washington University (Physics Tree)

Children

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Gongbo Liang grad student (Computer Science Tree)
M. Usman Rafique grad student 2016- University of Kentucky
Zachary Bessinger grad student 2014-2018 University of Kentucky
Benjamin E Brodie post-doc 2020-2022 University of Kentucky

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Publications

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Xing X, Liang G, Wang C, et al. (2023) Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder. Bioengineering (Basel, Switzerland). 10
Xing X, Rafique MU, Liang G, et al. (2023) Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification. Electronics. 12
Liang G, Ganesh H, Steffe D, et al. (2022) Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set. Bmc Medical Imaging. 22: 52
Xing X, Liang G, Blanton H, et al. (2021) Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. Computer Vision - Eccv ... : ... European Conference On Computer Vision : Proceedings. European Conference On Computer Vision. 12535: 355-364
Ying Q, Xing X, Liu L, et al. (2021) Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 3586-3591
Liang G, Xing X, Liu L, et al. (2021) Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 3008-3012
Liang G, Greenwell C, Zhang Y, et al. (2021) Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. Ieee Journal of Biomedical and Health Informatics
Liang G, Wang X, Zhang Y, et al. (2020) Weakly-Supervised Self-Training for Breast Cancer Localization. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1124-1127
Hammond TC, Xing X, Wang C, et al. (2020) β-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline. Communications Biology. 3: 352
Wang X, Liang G, Zhang Y, et al. (2020) Inconsistent Performance of Deep Learning Models on Mammogram Classification. Journal of the American College of Radiology : Jacr
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