| Development of the open‐source dose calculation and optimization toolkit matRad HP Wieser, E Cisternas, N Wahl, S Ulrich, A Stadler, H Mescher, ... Medical physics 44 (6), 2556-2568, 2017 | 278 | 2017 |
| Design and selection of machine learning methods using radiomics and dosiomics for normal tissue complication probability modeling of xerostomia HS Gabryś, F Buettner, F Sterzing, H Hauswald, M Bangert Frontiers in Oncology 8, 35, 2018 | 147 | 2018 |
| 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 | 84 | 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 | 57 | 2019 |
| Computed tomography-based radiomics decodes prognostic and molecular differences in interstitial lung disease related to systemic sclerosis J Schniering, M Maciukiewicz, HS Gabrys, M Brunner, C Blüthgen, ... European respiratory journal 59 (5), 2022 | 48 | 2022 |
| Parotid gland mean dose as a xerostomia predictor in low-dose domains HS Gabryś, F Buettner, F Sterzing, H Hauswald, M Bangert Acta Oncologica 56 (9), 1197-1203, 2017 | 38 | 2017 |
| 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 | 24 | 2021 |
| 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 | 20 | 2020 |
| Gating has a negligible impact on dose delivered in MRI-guided online adaptive radiotherapy of prostate cancer I Wahlstedt, N Andratschke, CP Behrens, S Ehrbar, HS Gabryś, ... Radiotherapy and Oncology 170, 205-212, 2022 | 19 | 2022 |
| The image biomarker standardization initiative: standardized convolutional filters for reproducible radiomics and enhanced clinical insights P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, ... Radiology 310 (2), e231319, 2024 | 17 | 2024 |
| Elemental anomalies in the hippocampal formation after repetitive electrical stimulation: an X-ray fluorescence microscopy study J Chwiej, H Gabrys, K Janeczko, J Kutorasinska, K Gzielo-Jurek, ... JBIC Journal of Biological Inorganic Chemistry 19, 1209-1220, 2014 | 12 | 2014 |
| 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 | 6 | 2019 |
| Resolving phenotypic and prognostic differences in interstitial lung disease related to systemic sclerosis by computed tomography-based radiomics J Schniering, M Maciukiewicz, HS Gabrys, M Brunner, C Blüthgen, ... medRxiv, 2020.06. 09.20124800, 2020 | 5 | 2020 |
| 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 |
| Improved survival prediction by combining radiological imaging and S-100B levels into a multivariate model in metastatic melanoma patients treated with immune checkpoint inhibition S Burgermeister, HS Gabryś, L Basler, SA Hogan, M Pavic, M Bogowicz, ... Frontiers in Oncology 12, 830627, 2022 | 4 | 2022 |
| Incorporation of dosimetric gradients and parotid gland migration into xerostomia prediction R Astaburuaga, HS Gabryś, B Sánchez-Nieto, RO Floca, S Klüter, ... Frontiers in Oncology 9, 697, 2019 | 4 | 2019 |
| Transferability of radiomic signatures from experimental to human interstitial lung disease HS Gabryś, J Gote-Schniering, M Brunner, M Bogowicz, C Blüthgen, ... Frontiers in medicine 9, 988927, 2022 | 3 | 2022 |
| Machine learning using radiomics and dosiomics for normal tissue complication probability modeling of radiation-induced xerostomia H Gabrys | 3 | 2020 |
| Magnetic resonance imaging radiomic features stability in brain metastases: impact of image preprocessing, image-, and feature-level harmonization Z Khodabakhshi, H Gabrys, P Wallimann, M Guckenberger, ... Physics and Imaging in Radiation Oncology 30, 100585, 2024 | 2 | 2024 |
| OP0150 MACHINE LEARNING APPROACHES FOR RISK MODELLING IN INTERSTITIAL LUNG DISEASE ASSOCIATED WITH SYSTEMIC SCLEROSIS USING HIGH DIMENSIONAL IMAGE ANALYSIS M Maciukiewicz, J Schniering, H Gabrys, M Brunner, C Blüthgen, C Meier, ... Annals of the Rheumatic Diseases 80 (Suppl 1), 90-90, 2021 | 1 | 2021 |
Matthias GuckenbergerProfessor for Radiation Oncology, University Hospital Zurich, University of Zurich在 usz.ch 的电子邮件经过验证
