| Radiomics, tumor volume, and blood biomarkers for early prediction of pseudoprogression in patients with metastatic melanoma treated with immune checkpoint inhibition L Basler, HS Gabryś, SA Hogan, M Pavic, M Bogowicz, D Vuong, ... Clinical Cancer Research 26 (16), 4414-4425, 2020 | 92 | 2020 |
| CT radiomics and PET radiomics: ready for clinical implementation? M Bogowicz, D Vuong, MW Huellner, M Pavic, N Andratschke, HS Gabrys, ... The quarterly journal of nuclear medicine and molecular imaging: official …, 2019 | 59 | 2019 |
| Radiomic biomarkers for head and neck squamous cell carcinoma S Tanadini-Lang, P Balermpas, M Guckenberger, M Pavic, O Riesterer, ... Strahlentherapie und Onkologie 196 (10), 868-878, 2020 | 40 | 2020 |
| FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients M Pavic, M Bogowicz, J Kraft, D Vuong, M Mayinger, SGC Kroeze, ... EJNMMI research 10, 1-8, 2020 | 34 | 2020 |
| Interchangeability of radiomic features between [18F]‐FDG PET/CT and [18F]‐FDG PET/MR D Vuong, S Tanadini‐Lang, MW Huellner, P Veit‐Haibach, J Unkelbach, ... Medical physics 46 (4), 1677-1685, 2019 | 34 | 2019 |
| Radiomics feature activation maps as a new tool for signature interpretability D Vuong, S Tanadini-Lang, Z Wu, R Marks, J Unkelbach, S Hillinger, ... Frontiers in Oncology 10, 578895, 2020 | 30 | 2020 |
| Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types S Denzler, D Vuong, M Bogowicz, M Pavic, T Frauenfelder, S Thierstein, ... The British journal of radiology 94 (1120), 20200947, 2021 | 27 | 2021 |
| Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study N Saltybaeva, S Tanadini-Lang, D Vuong, S Burgermeister, M Mayinger, ... Physics and imaging in radiation oncology 22, 131-136, 2022 | 26 | 2022 |
| Long-term outcomes of operable stage III NSCLC in the pre-immunotherapy era: results from a pooled analysis of the SAKK 16/96, SAKK 16/00, SAKK 16/01, and SAKK 16/08 trials D König, S Schär, D Vuong, M Guckenberger, K Furrer, I Opitz, W Weder, ... ESMO open 7 (2), 100455, 2022 | 22 | 2022 |
| Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients D Vuong, M Bogowicz, S Denzler, C Oliveira, R Foerster, F Amstutz, ... Medical physics 47 (9), 4045-4053, 2020 | 22 | 2020 |
| Systematic review on the association of radiomics with tumor biological endpoints A La Greca Saint-Esteven, D Vuong, F Tschanz, JE van Timmeren, ... Cancers 13 (12), 3015, 2021 | 21 | 2021 |
| Dosimetric and geometric end-to-end accuracy of a magnetic resonance guided linear accelerator LS Stark, N Andratschke, M Baumgartl, M Bogowicz, M Chamberlain, ... Physics and imaging in radiation oncology 16, 109-112, 2020 | 21 | 2020 |
| Radiomic analysis to predict outcome in recurrent glioblastoma based on multi-center MR imaging from the prospective DIRECTOR trial A Vils, M Bogowicz, S Tanadini-Lang, D Vuong, N Saltybaeva, J Kraft, ... Frontiers in oncology 11, 636672, 2021 | 18 | 2021 |
| Independent Monte-Carlo dose calculation for MLC based CyberKnife radiotherapy PH Mackeprang, D Vuong, W Volken, D Henzen, D Schmidhalter, ... Physics in Medicine & Biology 63 (1), 015015, 2017 | 16 | 2017 |
| Preselection of robust radiomic features does not improve outcome modelling in non-small cell lung cancer based on clinical routine FDG-PET imaging C Oliveira, F Amstutz, D Vuong, M Bogowicz, M Hüllner, R Foerster, ... EJNMMI research 11 (1), 79, 2021 | 15 | 2021 |
| Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments PH Mackeprang, D Vuong, W Volken, D Henzen, D Schmidhalter, ... Radiation Oncology 14, 1-11, 2019 | 12 | 2019 |
| Computed-tomography-based radiomics features for staging of interstitial lung disease–transferability from experimental to human lung fibrosis-a proof-of-concept study J Schniering, H Gabrys, M Brunner, O Distler, M Guckenberger, ... European Respiratory Journal 54 (suppl 63), 2019 | 7 | 2019 |
| Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: multi-center study. Phys Imaging Radiat Oncol 22: 131–136 N Saltybaeva, S Tanadini-Lang, D Vuong | 5 | 2022 |
| Quantification of the spatial distribution of primary tumors in the lung to develop new prognostic biomarkers for locally advanced NSCLC D Vuong, M Bogowicz, L Wee, O Riesterer, E Vlaskou Badra, LA D’Cruz, ... Scientific Reports 11 (1), 20890, 2021 | 5 | 2021 |
| PET/CT radiomics for prediction of hyperprogression in metastatic melanoma patients treated with immune checkpoint inhibitors HS Gabryś, L Basler, S Burgermeister, S Hogan, M Ahmadsei, M Pavic, ... Frontiers in Oncology 12, 977822, 2022 | 4 | 2022 |
