| PSMA ligand PET/MRI for primary prostate cancer: staging performance and clinical impact B Grubmüller, P Baltzer, S Hartenbach, D D’Andrea, TH Helbich, ... Clinical Cancer Research 24 (24), 6300-6307, 2018 | 149 | 2018 |
| Glioma survival prediction with combined analysis of in vivo 11C-MET PET features, ex vivo features, and patient features by supervised machine learning L Papp, N Pötsch, M Grahovac, V Schmidbauer, A Woehrer, M Preusser, ... Journal of Nuclear Medicine 59 (6), 892-899, 2018 | 99 | 2018 |
| Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI L Papp, CP Spielvogel, B Grubmüller, M Grahovac, D Krajnc, B Ecsedi, ... European journal of nuclear medicine and molecular imaging 48, 1795-1805, 2021 | 93 | 2021 |
| Optimized feature extraction for radiomics analysis of 18F-FDG PET imaging L Papp, I Rausch, M Grahovac, M Hacker, T Beyer Journal of Nuclear Medicine 60 (6), 864-872, 2019 | 70 | 2019 |
| Breast Tumor Characterization Using [18F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics D Krajnc, L Papp, TS Nakuz, HF Magometschnigg, M Grahovac, ... Cancers 13 (6), 1249, 2021 | 28 | 2021 |
| Glioma survival prediction with the combined analysis of in vivo 11C-MET-PET, ex vivo and patient features by supervised machine learning L Papp, N Poetsch, M Grahovac, V Schmidbauer, A Woehrer, M Preusser, ... Journal of Nuclear Medicine, 2017 | 11 | 2017 |
| Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts M Grahovac, CP Spielvogel, D Krajnc, B Ecsedi, T Traub-Weidinger, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (6), 1607-1620, 2023 | 10 | 2023 |
| Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer CP Spielvogel, S Stoiber, L Papp, D Krajnc, M Grahovac, E Gurnhofer, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (2), 546-558, 2023 | 10 | 2023 |
| Automated data preparation for in vivo tumor characterization with machine learning D Krajnc, CP Spielvogel, M Grahovac, B Ecsedi, S Rasul, N Poetsch, ... Frontiers in Oncology 12, 1017911, 2022 | 9 | 2022 |
| Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma M Zhao, K Kluge, L Papp, M Grahovac, S Yang, C Jiang, D Krajnc, ... European Radiology 32 (10), 7056-7067, 2022 | 9 | 2022 |
| A Sneak-Peek into the Physician’s Brain: A Retrospective Machine Learning-Driven Investigation of Decision-Making in TAVR versus SAVR for Young High-Risk Patients with Severe … E Hasimbegovic, L Papp, M Grahovac, D Krajnc, T Poschner, W Hasan, ... Journal of personalized medicine 11 (11), 1062, 2021 | 4 | 2021 |
| 3D ultrasound guided navigation system with hybrid image fusion D Iommi, A Valladares, M Figl, M Grahovac, G Fichtinger, J Hummel Scientific Reports 11 (1), 8838, 2021 | 2 | 2021 |
| The role of PET/MR imaging, PSA and patient age in risk prediction for lesions from prostate cancer L Papp, CP Spielvogel, M Grahovac, T Beyer, M Hacker EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 46 (SUPPL 1 …, 2019 | 1 | 2019 |
| Clinical impact of Spatially Variant Positron Range Correction for Ga-68-DOTATATE and Ga-68-PSMA PET/CT A Berger, J Cal-Gonzalez, S Rasul, M Hacker, M Grahovac, A Latiff, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 46 (SUPPL 1), S61-S62, 2019 | 1 | 2019 |
| In-vivo tumour characterization of breast cancer using [18F]FDG-PET/CT and supervised machine-learning L Papp, T Nakuz, H Magometschnigg, M Grahovac, T Helbich, ... EANM'17, 2017 | 1 | 2017 |
| DEBI-NN: Distance-Encoding Biomorphic-Informational Neural Networks for Minimizing the Number of Trainable Parameters L Papp, D Haberl, B Ecsedi, C Spielvogel, D Krajnc, M Grahovac, ... | | 2022 |
| Linking imaging to genetic patterns in head and neck squamous cell carcinoma C Spielvogel, S Stoiber, L Papp, D Krajnc, M Grahovac, E Gurnhofer, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 49 (SUPPL 1 …, 2022 | | 2022 |
| Linking imaging to genetic patterns in head and neck squamous cell carcinoma C Spielvogel, S Stoiber, M Grahovac, D Krajnc, J Schnoll, BJ Jank, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (SUPPL 1 …, 2021 | | 2021 |
| PET/CT radiomics and machine learning enable non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma M Zhao, K Kluge, L Papp, M Grahovac, S Yang, C Jiang, D Krajnc, ... | | 2021 |
| Evaluation of quantum-encoding for machine learning features in neural network-based predictive models C Spielvogel, M Grahovac, D Krajnc, M Hacker, T Beyer, AR Haug, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 47 (SUPPL 1 …, 2020 | | 2020 |
