| Multi-disease segmentation of gliomas and white matter hyperintensities in the BraTS data using a 3D convolutional neural network JD Rudie, DA Weiss, R Saluja, AM Rauschecker, J Wang, L Sugrue, ... Frontiers in Computational Neuroscience 13, 84, 2019 | 44 | 2019 |
| Three-dimensional U-Net convolutional neural network for detection and segmentation of intracranial metastases JD Rudie, DA Weiss, JB Colby, AM Rauschecker, B Laguna, S Braunstein, ... Radiology: Artificial Intelligence 3 (3), e200204, 2021 | 43 | 2021 |
| Interinstitutional portability of a deep learning brain MRI lesion segmentation algorithm AM Rauschecker, TJ Gleason, P Nedelec, MT Duong, DA Weiss, ... Radiology: Artificial Intelligence 4 (1), e200152, 2021 | 23 | 2021 |
| Automated multiclass tissue segmentation of clinical brain MRIs with lesions DA Weiss, R Saluja, L Xie, JC Gee, LP Sugrue, A Pradhan, RN Bryan, ... NeuroImage: Clinical 31, 102769, 2021 | 13 | 2021 |
| Longitudinal assessment of posttreatment diffuse glioma tissue volumes with three-dimensional convolutional neural networks JD Rudie, E Calabrese, R Saluja, D Weiss, JB Colby, S Cha, CP Hess, ... Radiology: Artificial Intelligence 4 (5), e210243, 2022 | 12 | 2022 |
| A machine learning approach for real-time cortical state estimation DA Weiss, AMF Borsa, A Pala, AJ Sederberg, GB Stanley Journal of Neural Engineering 21 (1), 016016, 2024 | 1 | 2024 |
| Development of Gestational Age–Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning CBN Tran, P Nedelec, DA Weiss, JD Rudie, L Kini, LP Sugrue, OA Glenn, ... American Journal of Neuroradiology 44 (1), 82-90, 2023 | 1 | 2023 |
| 3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies SG Wahlig, P Nedelec, DA Weiss, JD Rudie, LP Sugrue, AM Rauschecker Frontiers in Neuroscience 17, 1188336, 2023 | | 2023 |
