| Deep convolutional neural network with adversarial training for denoising digital breast tomosynthesis images M Gao, JA Fessler, HP Chan IEEE transactions on medical imaging 40 (7), 1805-1816, 2021 | 31 | 2021 |
| Deep convolutional neural network denoising for digital breast tomosynthesis reconstruction M Gao, RK Samala, JA Fessler, HP Chan Medical Imaging 2020: Physics of Medical Imaging 11312, 173-178, 2020 | 16 | 2020 |
| Fast, precise myelin water quantification using DESS MRI and kernel learning G Nataraj, JF Nielsen, M Gao, JA Fessler arXiv preprint arXiv:1809.08908, 2018 | 7 | 2018 |
| Deep convolutional neural network regularized digital breast tomosynthesis reconstruction with detector blur and correlated noise modeling M Gao, JA Fessler, HP Chan Medical Imaging 2022: Physics of Medical Imaging 12031, 48-52, 2022 | 3 | 2022 |
| Kernel regression for fast myelin water imaging G Nataraj, M Gao, JF Nielsen, JA Fessler ISMRM Workshop on Machine Learning Part 2, 65, 2018 | 3 | 2018 |
| Shallow learning with kernels for dictionary-free magnetic resonance fingerprinting G Nataraj, M Gao, J Assländer, C Scott, JA Fessler ISMRM Workshop on MR Fingerprinting, 2017 | 3 | 2017 |
| Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach M Gao, JA Fessler, HP Chan Physics in Medicine & Biology 68 (24), 245024, 2023 | 2 | 2023 |
| Deep CNN task-based image quality assessment: application to digital breast tomosynthesis reconstruction and denoising M Gao, MA Helvie, RK Samala, LM Hadjiiski, JA Fessler, HP Chan Medical Imaging 2023: Physics of Medical Imaging 12463, 248-252, 2023 | 2 | 2023 |
| Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images M Gao, JA Fessler, HP Chan Medical Imaging 2021: Physics of Medical Imaging 11595, 419-425, 2021 | 2 | 2021 |
| Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images HP Chan, MA Helvie, M Gao, L Hadjiiski, C Zhou, K Garver, KA Klein, ... Medical Physics 50 (10), 6177-6189, 2023 | 1 | 2023 |
| X-ray source motion blur modeling and deblurring with generative diffusion for digital breast tomosynthesis M Gao, JA Fessler, HP Chan Physics in Medicine and Biology, 2024 | | 2024 |
| Deep learning denoising of digital breast tomosynthesis: Observer study of the effect on microcalcification detection in breast phantom images HP Chan, MA Helvie, M Gao, L Hadjiyski, C Zhou, K Garver, K Klein, ... | | 2023 |
Jeff FesslerProfessor of Electrical Engineering and Computer Science, Univ. of MichiganVerified email at umich.edu
