| Deep convolution neural network (DCNN) multiplane approach to synthetic CT generation from MR images—application in brain proton therapy MF Spadea, G Pileggi, P Zaffino, P Salome, C Catana, D Izquierdo-Garcia, ... International Journal of Radiation Oncology* Biology* Physics 105 (3), 495-503, 2019 | 118 | 2019 |
| MR intensity normalization methods impact sequence specific radiomics prognostic model performance in primary and recurrent high-grade glioma P Salome, F Sforazzini, G Brugnara, A Kudak, M Dostal, C Herold-Mende, ... Cancers 15 (3), 965, 2023 | 11 | 2023 |
| Deep Learning–based Automatic Lung Segmentation on Multiresolution CT Scans from Healthy and Fibrotic Lungs in Mice F Sforazzini, P Salome, M Moustafa, C Zhou, C Schwager, K Rein, ... Radiology: Artificial Intelligence 4 (2), e210095, 2022 | 11 | 2022 |
| Joint optimization of photon–carbon ion treatments for Glioblastoma ABA Bennan, J Unkelbach, N Wahl, P Salome, M Bangert International Journal of Radiation Oncology* Biology* Physics 111 (2), 559-572, 2021 | 10 | 2021 |
| pyCuRT: An Automated Data Curation Workflow for Radiotherapy Big Data Analysis using Pythons’ NyPipe F Sforazzini, P Salome, A Kudak, M Ulrich, N Bougatf, J Debus, M Knoll, ... International Journal of Radiation Oncology, Biology, Physics 108 (3), e772, 2020 | 3 | 2020 |
| The impact of tumor metabolic activity assessed by 18F-FET amino acid PET imaging in particle radiotherapy of high-grade glioma patients M Waltenberger, J Furkel, M Röhrich, P Salome, C Debus, B Tawk, ... Frontiers in Oncology 12, 901390, 2022 | 2 | 2022 |
| Task-Specific Fine-Tuning for Interactive Deep Learning Segmentation for Lung Fibrosis on CT Post Radiotherapy M Trimpl, P Salome, D Walz, J Hoerner-rieber, S Regnery, E Stride, ... MEDICAL PHYSICS 49 (6), E135-E136, 2022 | 1 | 2022 |
| PD-L1-R: A MR based surrogate for PD-L1 expression in Glioblastoma multiforme. F Sforazzini, P Salome, A Kudak, M Ulrich, L König, R Warta, N Bougatf, ... Journal of Clinical Oncology 39 (15_suppl), 2041-2041, 2021 | 1 | 2021 |
| PP01. 11 IMPROVED PROGNOSTIC STRATIFICATION AND RADIATIONINDUCED FIBROSIS PREDICTION AFTER STEREOTACTIC BODY RADIATION THERAPY (SBRT) FOR EARLY STAGE NON-SMALL CELL LUNG CANCER … P Salome, D Walz, F Sforazzini, J Debus, M Knoll, A Abdollahi, O Jakel Physica Medica 125, 103581, 2024 | | 2024 |
| Dosiomics-Enhanced Prediction Modeling: An Artificial Intelligence-Based Workflow in Radiation Oncology P Salome | | 2024 |
| PO-1336 Prognosticator of SBRT efficacy and toxicity in early-stage NSCLC patients D Walz, P Salome, F Sforazzini, A Kudak, M Dostal, S Regnery, ... Radiotherapy and Oncology 182, S1070-S1071, 2023 | | 2023 |
| MR-Class: A Python Tool for Brain MR Image Classification Utilizing One-vs-All DCNNs to Deal with the Open-Set Recognition Problem P Salome, F Sforazzini, G Brugnara, A Kudak, M Dostal, C Herold-Mende, ... Cancers 15 (6), 1820, 2023 | | 2023 |
| Multi-Omics Classifier of Tumor Recurrence vs. Radiation-Induced Lung Fibrosis in NSCLC Patients Treated with SBRT P Salome, D Walz, F Sforazzini, A Kudak, M Dostal, S Regnery, ... International Journal of Radiation Oncology, Biology, Physics 114 (3), e388-e389, 2022 | | 2022 |
| Toward AI-Driven Proton Dose Calculation: Development and Evaluation of 3D and 2D Sequential Neural Network Design A Neishabouri, P Salome, S Mein, J Debus, A Mairani International Journal of Radiation Oncology, Biology, Physics 111 (3), e116, 2021 | | 2021 |
| Joint Optimization of Photon–Carbon Ion Treatments for Glioblastoma J Unkelbach, N Wahl, P Salome, M Bangert International Journal of Radiation Oncology, Biology and Physics 111 (2), 2021 | | 2021 |
| Improved risk stratification via integration of radiomics and dosiomics features in patients with recurrent high-grade glioma undergoing carbon ion radiotherapy (CIRT). P Salome, F Sforazzini, A Kudak, L König, P Kickingereder, N Bougatf, ... Journal of Clinical Oncology 39 (15_suppl), 2043-2043, 2021 | | 2021 |
| Impact Of MR Intensity Normalization For Different MR Sequences In MRI Based Radiomics Studies P Salome, F Sforazzini, A Kudak, M Dostal, N Bougatf, J Debus, M Knoll, ... | | |
| MR-Class: MR Image Classification using one-vs-all Deep Convolutional Neural Network P Salome, F Sforazzini, A Kudak, M Dostal, N Bougatf, J Debus, ... | | |
