| DblurDoseNet: A deep residual learning network for voxel radionuclide dosimetry compensating for single‐photon emission computerized tomography imaging resolution Z Li, JA Fessler, JK Mikell, SJ Wilderman, YK Dewaraja Medical physics 49 (2), 1216-1230, 2022 | 22 | 2022 |
| Poisson Phase Retrieval in Very Low-count Regimes Z Li, K Lange, JA Fessler IEEE Transactions on Computational Imaging 8, 838-850, 2022 | 17 | 2022 |
| Training End-to-End Unrolled Iterative Neural Networks for SPECT Image Reconstruction Z Li, YK Dewaraja, JA Fessler IEEE Transactions on Radiation and Plasma Medical Sciences 7 (4), 410-420, 2023 | 13 | 2023 |
| Poisson Phase Retrieval with Wirtinger Flow Z Li, K Lange, JA Fessler 2021 IEEE International Conference on Image Processing (ICIP), 2828-2832, 2021 | 10 | 2021 |
| PDMM: A novel primal-dual Majorization-minimization algorithm for poisson phase-retrieval problem G Fatima, Z Li, A Arora, P Babu IEEE Transactions on Signal Processing 70, 1241-1255, 2022 | 8 | 2022 |
| Reducing SPECT acquisition time by predicting missing projections with single-scan self-supervised coordinate-based learning Z Li, X Xu, J Hu, J Fessler, Y Dewaraja Journal of Nuclear Medicine 64 (supplement 1), P1014-P1014, 2023 | 3 | 2023 |
| Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT H Kim, Z Li, J Son, JA Fessler, YK Dewaraja, SY Chun IEEE Transactions on Medical Imaging 42 (10), 2961-2973, 2023 | 3 | 2023 |
| Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Z Li, J Hu, X Xu, L Shen, JA Fessler NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023 | 2 | 2023 |
| Uniform Cramér–Rao Lower Bound for Phase Retrieval: An Empirical Study Z Li, JA Fessler 2022 56th Asilomar Conference on Signals, Systems, and Computers, 111-115, 2022 | 2 | 2022 |
| Modelling learning in Caenorhabditis elegans chemosensory and locomotive circuitry for T‐maze navigation BG Sakelaris, Z Li, J Sun, S Banerjee, V Booth, E Gourgou European Journal of Neuroscience 55 (2), 354-376, 2022 | 2 | 2022 |
| A Deep Residual Learning Network for Practical Voxel Dosimetry in Radionuclide Therapy Z Li, JA Fessler, JK Mikell, SJ Wilderman, YK Dewaraja 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 2 | 2020 |
| Segment Anything Model for SPECT (SAMS): Novel implementation in SPECT imaging for tumor segmentation Z Lu, Z Li, Y Jia, G Chen, M Roseland, G Mok, Y Dewaraja Journal of Nuclear Medicine 65 (supplement 2), 241583-241583, 2024 | 1 | 2024 |
| 90Y SPECT scatter estimation and voxel dosimetry in radioembolization using a unified deep learning framework Y Jia, Z Li, A Akhavanallaf, JA Fessler, YK Dewaraja EJNMMI physics 10 (1), 82, 2023 | 1 | 2023 |
| Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions Z Li, J Hu, X Xu, L Shen, JA Fessler IEEE Transactions on Computational Imaging 10, 1384-1399, 2024 | | 2024 |
| Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views Z Li, Y Jia, X Xu, J Hu, JA Fessler, YK Dewaraja arXiv preprint arXiv:2406.18840, 2024 | | 2024 |
| Solving Poisson Inverse Problem with Application to Phase Retrieval and Single Photon Emission Computerized Tomography Z Li | | 2024 |
| Y-90 Bremsstrahlung SPECT Scatter Estimation and Voxel Dosimetry Using a Deep Learning Pipeline Y Jia, Z Li, J Fessler, Y Dewaraja Journal of Nuclear Medicine 64 (supplement 1), P1211-P1211, 2023 | | 2023 |
| ESR-Net: An Efficient Image Super-resolution Network for SPECT Reconstruction Z Li, YK Dewaraja, JA Fessler 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | | 2022 |
Jeff FesslerProfessor of Electrical Engineering and Computer Science, Univ. of MichiganVerified email at umich.edu
