Radiology CT Reconstruction using Diffusion Posterior Sampling conditioned on a Nonlinear Measurement Model. July 1, 2024
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Medical Imaging | Radiology Greybox: A hybrid algorithm for direct estimation of tracer kinetic parameters from undersampled DCE-MRI data. January 12, 2024
Chemical Engineering | Materials Science A General Deep Learning Method for Computing Molecular Parameters of a Viscoelastic Constitutive Model by Solving an Inverse Problem. September 9, 2023
Biomedical Engineering | Radiology Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks. March 29, 2023
Neurology | Oncology | Radiology Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling. November 17, 2022
Oncology | Radiology A review on imaging methodology advances in fluorescence molecular tomography. March 11, 2022
Medical Imaging | Radiology A model-based iterative learning approach for diffuse optical tomography. December 16, 2021
Biomedical imaging | Radiology The study on the inverse problem of applied current thermoacoustic imaging based on generative adversarial network. November 26, 2021
Biomedical imaging | Radiology Bioluminescence Tomography Based on One-Dimensional Convolutional Neural Networks. November 4, 2021
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