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Christopher Wiedeman
Christopher Wiedeman
PhD Candidate at Rensselaer Polytechnic Institute
Dirección de correo verificada de asu.edu
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Design and characterization of low-cost fabric-based flat pneumatic actuators for soft assistive glove application
HK Yap, F Sebastian, C Wiedeman, CH Yeow
2017 International Conference on Rehabilitation Robotics (ICORR), 1465-1470, 2017
412017
Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach
H Shan, C Wiedeman, G Wang, Y Yang
Novel Optical Systems, Methods, and Applications XXII 11105, 18-27, 2019
322019
Disrupting adversarial transferability in deep neural networks
C Wiedeman, G Wang
Patterns 3 (5), 2022
122022
Modeling of moral decisions with deep learning
C Wiedeman, G Wang, U Kruger
Visual Computing for Industry, Biomedicine, and Art 3 (1), 27, 2020
122020
Decorrelative network architecture for robust electrocardiogram classification
C Wiedeman, G Wang
Patterns 5 (12), 2024
22024
Deep-silicon photon-counting x-ray projection denoising through reinforcement learning
MS Tanveer, C Wiedeman, M Li, Y Shi, B De Man, JS Maltz, G Wang
Journal of X-Ray Science and Technology, 1-33, 2024
22024
A data generation pipeline for cardiac vessel segmentation and motion artifact grading
A Sushmit, Y Xu, O Mariani, Q Lyu, Y Li, X Cao, C Wiedeman, H Ma, ...
Developments in X-Ray Tomography XIV 12242, 334-344, 2022
22022
Interior photon-counting CT data denoising via multi-agent reinforcement learning
MS Tanveer, C Wiedeman, Y Shi, H Yu, G Wang
Developments in X-Ray Tomography XV 13152, 131520C, 2024
12024
Simultaneous electron density and attenuation coefficient reconstruction: a feasibility study
C Wiedeman, W Cong, G Wang
Developments in X-Ray Tomography XIII 11840, 52-63, 2021
12021
3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model
C Niu, C Wiedeman, M Li, JS Maltz, G Wang
arXiv preprint arXiv:2408.15283, 2024
2024
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction
C Wiedeman, P Lorraine, G Wang, R Do, A Simpson, J Peoples, ...
Visual Computing for Industry, Biomedicine, and Art 7 (1), 13, 2024
2024
Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation
C Wiedeman, C Niu, M Li, B De Man, JS Maltz, G Wang
arXiv preprint arXiv:2402.16212, 2024
2024
Machine learning for individual moral decision-making
G Wang, C Wiedeman, U Kruger
US Patent App. 18/278,496, 2024
2024
Decorrelation mechanism and dual neck autoencoder for deep learning
G Wang, C Wiedeman
US Patent App. 18/081,156, 2023
2023
Feasibility analysis on simultaneous electron density and attenuation coefficient reconstruction
C Wiedeman, W Cong, G Wang
Medical physics 48 (11), 7236-7249, 2021
2021
Innovating the Medical Imaging Course
C Wiedeman, H Xie, X Mou, G Wang
Technology & Innovation 21 (4), 1-11, 2020
2020
Deep Learning for Set Operations and Plug-and-Play Denoising
C Wiedeman
Ultrasound Imaging: Deep & Beyond
C Wiedeman, H Shan, W Cong, G Wang
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