| Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes M Foltyn-Dumitru, M Schell, A Rastogi, F Sahm, T Kessler, W Wick, ... European Radiology, 1-9, 2023 | 9 | 2023 |
| Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study A Rastogi, G Brugnara, M Foltyn-Dumitru, MA Mahmutoglu, CJ Preetha, ... The Lancet Oncology 25 (3), 400-410, 2024 | 6 | 2024 |
| Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke G Brugnara, M Baumgartner, ED Scholze, K Deike-Hofmann, K Kades, ... Nature Communications 14 (1), 4938, 2023 | 6 | 2023 |
| Comparison of iterative parametric and indirect deep learning‐based reconstruction methods in highly undersampled DCE‐MR Imaging of the breast A Rastogi, PK Yalavarthy Medical Physics 47 (10), 4838-4861, 2020 | 5 | 2020 |
| VTDCE‐Net: A time invariant deep neural network for direct estimation of pharmacokinetic parameters from undersampled DCE MRI data A Rastogi, A Dutta, PK Yalavarthy Medical Physics 50 (3), 1560-1572, 2023 | 3 | 2023 |
| SpiNet: A deep neural network for Schatten p‐norm regularized medical image reconstruction A Rastogi, PK Yalavarthy Medical Physics 48 (5), 2214-2229, 2021 | 2 | 2021 |
| The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI MC de Verdier, R Saluja, L Gagnon, D LaBella, U Baid, NH Tahon, ... arXiv preprint arXiv:2405.18368, 2024 | 1 | 2024 |
| Advancing noninvasive glioma classification with diffusion radiomics: Exploring the impact of signal intensity normalization M Foltyn-Dumitru, M Schell, F Sahm, T Kessler, W Wick, M Bendszus, ... Neuro-Oncology Advances 6 (1), vdae043, 2024 | 1 | 2024 |
| Unraveling Glioblastoma Diversity: Insights into Methylation Subtypes and Spatial Relationships M Foltyn-Dumitru, H Alzaid, A Rastogi, U Neuberger, F Sahm, T Kessler, ... Neuro-Oncology Advances, vdae112, 2024 | | 2024 |
| The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI M Correia de Verdier, R Saluja, L Gagnon, D LaBella, U Baid, ... arXiv e-prints, arXiv: 2405.18368, 2024 | | 2024 |
| Greybox: A hybrid algorithm for direct estimation of tracer kinetic parameters from undersampled DCE‐MRI data A Rastogi, PK Yalavarthy Medical Physics, 2024 | | 2024 |
| Curriculum-learning for Vessel Occlusion Detection in Multi-site Brain CT Angiographies AM Mora, M Baumgartner, G Brugnara, M Zenk, Y Kirchhoff, A Rastogi, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| Development of Novel Deep Learning Methods for Fast-MRI: Anatomical Image Reconstruction to Quantitative Imaging A Rastogi | | 2022 |
Philipp VollmuthProf for AI in Medical Imaging | Division Head Computational Radiology & Clinical AI | CCIBonn.ai在 dkfz-heidelberg.de 的电子邮件经过验证
