| Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction J Zhang, Z Liu, S Zhang, H Zhang, P Spincemaille, TD Nguyen, ... Neuroimage 211, 116579, 2020 | 65 | 2020 |
| Deep neural network for water/fat separation: supervised training, unsupervised training, and no training R Jafari, P Spincemaille, J Zhang, TD Nguyen, X Luo, J Cho, D Margolis, ... Magnetic resonance in medicine 85 (4), 2263-2277, 2021 | 38 | 2021 |
| Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI J Zhang, H Zhang, A Wang, Q Zhang, M Sabuncu, P Spincemaille, ... Machine Learning for Medical Image Reconstruction: Third International …, 2020 | 37 | 2020 |
| QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps H Zhang, TD Nguyen, J Zhang, M Marcille, P Spincemaille, Y Wang, ... NeuroImage: Clinical 34, 102979, 2022 | 33 | 2022 |
| ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation H Zhang, J Zhang, C Li, EM Sweeney, P Spincemaille, TD Nguyen, ... NeuroImage: Clinical 32, 102854, 2021 | 33 | 2021 |
| RSANet: recurrent slice-wise attention network for multiple sclerosis lesion segmentation H Zhang, J Zhang, Q Zhang, J Kim, S Zhang, SA Gauthier, P Spincemaille, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 29 | 2019 |
| Geometric loss for deep multiple sclerosis lesion segmentation H Zhang, J Zhang, R Wang, Q Zhang, SA Gauthier, P Spincemaille, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 24-28, 2021 | 23 | 2021 |
| Efficient folded attention for medical image reconstruction and segmentation H Zhang, J Zhang, R Wang, Q Zhang, P Spincemaille, TD Nguyen, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10868 …, 2021 | 21 | 2021 |
| QQ‐NET–using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+ qBOLD or QQ) based oxygen extraction … J Cho, J Zhang, P Spincemaille, H Zhang, S Hubertus, Y Wen, R Jafari, ... Magnetic Resonance in Medicine, 2021 | 19 | 2021 |
| Nerd: Neural representation of distribution for medical image segmentation H Zhang, R Wang, J Zhang, C Li, G Yang, P Spincemaille, T Nguyen, ... arXiv preprint arXiv:2103.04020, 2021 | 15 | 2021 |
| LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping J Zhang, P Spincemaille, H Zhang, TD Nguyen, C Li, J Li, I Kovanlikaya, ... NeuroImage 268, 119886, 2023 | 11 | 2023 |
| Bayesian learning of probabilistic dipole inversion for quantitative susceptibility mapping J Zhang, H Zhang, M Sabuncu, P Spincemaille, T Nguyen, Y Wang Medical Imaging with Deep Learning, 892-902, 2020 | 10 | 2020 |
| Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction J Zhang, H Zhang, C Li, P Spincemaille, M Sabuncu, TD Nguyen, Y Wang International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 9 | 2021 |
| Spatially covariant lesion segmentation H Zhang, R Wang, J Zhang, D Liu, C Li, J Li arXiv preprint arXiv:2301.07895, 2023 | 8 | 2023 |
| Pascal Spincemaille, Thanh D Nguyen, Mert Sabuncu, and Yi Wang. Rsanet: Recurrent slice-wise attention network for multiple sclerosis lesion segmentation H Zhang, J Zhang, Q Zhang, J Kim, S Zhang, SA Gauthier International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 8 | 2019 |
| Subsecond accurate myelin water fraction reconstruction from FAST‐T2 data with 3D UNET J Kim, TD Nguyen, J Zhang, SA Gauthier, M Marcille, H Zhang, J Cho, ... Magnetic Resonance in Medicine 87 (6), 2979-2988, 2022 | 6 | 2022 |
| Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation J Zhang, L Zuo, BE Dewey, SW Remedios, SP Hays, DL Pham, JL Prince, ... Medical Imaging 2024: Clinical and Biomedical Imaging 12930, 635-641, 2024 | 5 | 2024 |
| Deda: Deep directed accumulator H Zhang, R Wang, R Hu, J Zhang, J Li International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 5 | 2023 |
| Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping J Zhang, H Zhang, P Spincemaille, T Nguyen, MR Sabuncu, Y Wang Medical Imaging with Deep Learning, 870-880, 2021 | 5 | 2021 |
| Probabilistic dipole inversion for adaptive quantitative susceptibility mapping J Zhang, H Zhang, M Sabuncu, P Spincemaille, T Nguyen, Y Wang Machine Learning for Biomedical Imaging 1 (MIDL 2020 special issue), 1-19, 2021 | 5 | 2021 |
Pascal SpincemailleAssociate Professor of Physics in RadiologyDirección de correo verificada de med.cornell.edu
