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European Journal of Radiology|November 22, 2023
Metabolic tumor volume and sites of organ involvement predict outcome in NSCLC immune-checkpoint inhibitor therapyDaria Kifjak, Maximilian Hochmair, Daniel Sobotka, et al.
Scientific Reports|December 22, 2018
Different pro-angiogenic potential of γ-irradiated PBMC-derived secretome and its subfractionsTanja Wagner, Denise Traxler, Elisabeth Simader, et al.
European Radiology|April 8, 2020
Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysisLucian Beer, Hilal Sahin, Nicholas W Bateman, et al.
La Radiologia Medica|September 11, 2025
68Ga-DOTATATE PET/CT versus MRI in neuroendocrine liver metastases: a comprehensive per-lesion analysisAlexander Herold, Azadeh Hajati, Yihan Cao, et al.
Hepatology Communications|October 21, 2025
The impact of sarcopenia and frailty on decompensation in compensated cirrhosis: A systematic reviewChiara Becchetti, Elton Dajti, Grace L Su, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 15, 2019
PET/MRI versus PET/CT in oncology: a prospective single-center study of 330 examinations focusing on implications for patient management and cost considerationsMarius E Mayerhoefer, Helmut Prosch, Lucian Beer, et al.
European Radiology|December 14, 2020
Ultrasound-guided targeted biopsies of CT-based radiomic tumour habitats: technical development and initial experience in metastatic ovarian cancerLucian Beer, Paula Martin-Gonzalez, Maria Delgado-Ortet, et al.
Frontiers in Oncology|July 5, 2022
Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian CarcinomaLeonardo Rundo, Lucian Beer, Lorena Escudero Sanchez, et al.
Nature Communications|October 24, 2023
Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancerMireia Crispin-Ortuzar, Ramona Woitek, Marika A V Reinius, et al.
European Radiology Experimental|December 6, 2023
Deep learning-based segmentation of multisite disease in ovarian cancerThomas Buddenkotte, Leonardo Rundo, Ramona Woitek, et al.
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