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Christopher Wiedeman

Showing results (1-10 of 9) with videos related to

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Patterns (New York, N.Y.)|January 8, 2025
Decorrelative network architecture for robust electrocardiogram classificationChristopher Wiedeman, Ge Wang
Patterns (New York, N.Y.)|May 24, 2022
Disrupting adversarial transferability in deep neural networksChristopher Wiedeman, Ge Wang
Patterns (New York, N.Y.)|March 5, 2025
Erratum: Decorrelative network architecture for robust electrocardiogram classificationChristopher Wiedeman, Ge Wang
Medical Physics|September 26, 2021
Feasibility analysis on simultaneous electron density and attenuation coefficient reconstructionChristopher Wiedeman, Wenxiang Cong, Ge Wang
Visual Computing for Industry, Biomedicine, and Art|November 20, 2020
Modeling of moral decisions with deep learningChristopher Wiedeman, Ge Wang, Uwe Kruger
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
Design and characterization of low-cost fabric-based flat pneumatic actuators for soft assistive glove applicationHong Kai Yap, Frederick Sebastian, Christopher Wiedeman, et al.
IEEE Transactions on Medical Imaging|October 6, 2025
Privacy-Preserving Latent Diffusion-Based Synthetic Medical Image GenerationYongyi Shi, Wenjun Xia, Chuang Niu, et al.
Visual Computing for Industry, Biomedicine, and Art|June 11, 2024
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstructionChristopher Wiedeman, Peter Lorraine, Ge Wang, et al.
Journal of X-Ray Science and Technology|January 13, 2024
Deep-silicon photon-counting x-ray projection denoising through reinforcement learningMd Sayed Tanveer, Christopher Wiedeman, Mengzhou Li, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Patterns (New York, N.Y.)|January 8, 2025
Decorrelative network architecture for robust electrocardiogram classificationChristopher Wiedeman, Ge Wang
Patterns (New York, N.Y.)|May 24, 2022
Disrupting adversarial transferability in deep neural networksChristopher Wiedeman, Ge Wang
Patterns (New York, N.Y.)|March 5, 2025
Erratum: Decorrelative network architecture for robust electrocardiogram classificationChristopher Wiedeman, Ge Wang
Medical Physics|September 26, 2021
Feasibility analysis on simultaneous electron density and attenuation coefficient reconstructionChristopher Wiedeman, Wenxiang Cong, Ge Wang
Visual Computing for Industry, Biomedicine, and Art|November 20, 2020
Modeling of moral decisions with deep learningChristopher Wiedeman, Ge Wang, Uwe Kruger
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
Design and characterization of low-cost fabric-based flat pneumatic actuators for soft assistive glove applicationHong Kai Yap, Frederick Sebastian, Christopher Wiedeman, et al.
IEEE Transactions on Medical Imaging|October 6, 2025
Privacy-Preserving Latent Diffusion-Based Synthetic Medical Image GenerationYongyi Shi, Wenjun Xia, Chuang Niu, et al.
Visual Computing for Industry, Biomedicine, and Art|June 11, 2024
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstructionChristopher Wiedeman, Peter Lorraine, Ge Wang, et al.
Journal of X-Ray Science and Technology|January 13, 2024
Deep-silicon photon-counting x-ray projection denoising through reinforcement learningMd Sayed Tanveer, Christopher Wiedeman, Mengzhou Li, et al.
Pageof 1