| Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI CA Hamm, CJ Wang, LJ Savic, M Ferrante, I Schobert, T Schlachter, ... European radiology 29, 3338-3347, 2019 | 290 | 2019 |
| Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features CJ Wang, CA Hamm, LJ Savic, M Ferrante, I Schobert, T Schlachter, ... European radiology 29, 3348-3357, 2019 | 137 | 2019 |
| Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver PM Oestmann, CJ Wang, LJ Savic, CA Hamm, S Stark, I Schobert, ... European radiology 31, 4981-4990, 2021 | 60 | 2021 |
| Diagnostic performance of PI-RADS version 2.1 compared to version 2.0 for detection of peripheral and transition zone prostate cancer MM Rudolph, ADJ Baur, H Cash, M Haas, S Mahjoub, A Hartenstein, ... Scientific Reports 10 (1), 15982, 2020 | 49 | 2020 |
| Molecular imaging of extracellular tumor pH to reveal effects of locoregional therapy on liver cancer microenvironment LJ Savic, IT Schobert, D Peters, JJ Walsh, FM Laage-Gaupp, CA Hamm, ... Clinical Cancer Research 26 (2), 428-438, 2020 | 46 | 2020 |
| Interactive explainable deep learning model informs prostate cancer diagnosis at MRI CA Hamm, GL Baumgärtner, F Biessmann, NL Beetz, A Hartenstein, ... Radiology 307 (4), e222276, 2023 | 43 | 2023 |
| Supervised machine learning in oncology: a clinician's guide N Murali, A Kucukkaya, A Petukhova, J Onofrey, J Chapiro Digestive disease interventions 4 (01), 073-081, 2020 | 21 | 2020 |
| Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model LA Doemel, JG Santana, LJ Savic, FML Gaupp, T Borde, ... European radiology, 1-11, 2022 | 18 | 2022 |
| A comprehensive diagnostic approach combining phylogenetic disease bracketing and CT imaging reveals osteomyelitis in a Tyrannosaurus rex CA Hamm, O Hampe, D Schwarz, F Witzmann, PJ Makovicky, CA Brochu, ... Scientific reports 10 (1), 18897, 2020 | 18 | 2020 |
| Artificial intelligence and radiomics in MRI-based prostate diagnostics CA Hamm, NL Beetz, LJ Savic, T Penzkofer Der Radiologe 60, 48-55, 2020 | 15 | 2020 |
| Efficiency, workflow and image quality of clinical computed tomography scanning compared to photogrammetry on the example of a Tyrannosaurus rex skull from the Maastrichtian of … CA Hamm, H Mallison, O Hampe, D Schwarz, J Mews, J Blobel, ... J. Paleontol. Tech 21, 1-13, 2018 | 13 | 2018 |
| MRI-targeted biopsy cores from prostate index lesions: assessment and prediction of the number needed NL Beetz, F Dräger, CA Hamm, S Shnayien, MM Rudolph, K Froböse, ... Prostate Cancer and Prostatic Diseases 26 (3), 543-551, 2023 | 12 | 2023 |
| Conventional vs. drug-eluting beads transarterial chemoembolization for unresectable hepatocellular carcinoma—a propensity score weighted comparison of efficacy and safety LJ Savic, E Chen, N Nezami, N Murali, CA Hamm, C Wang, MD Lin, ... Cancers 14 (23), 5847, 2022 | 12 | 2022 |
| Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI GL Baumgärtner, CA Hamm, S Schulze-Weddige, R Ruppel, NL Beetz, ... European Journal of Radiology 166, 110964, 2023 | 9 | 2023 |
| Quantitative dual-energy CT as a nondestructive tool to identify indicators for fossilized bone in vertebrate paleontology CA Hamm, O Hampe, J Mews, C Günter, R Milke, F Witzmann, LJ Savic, ... Scientific reports 12 (1), 16407, 2022 | 8 | 2022 |
| Inter-reader variability using PI-RADS v2 versus PI-RADS v2. 1: most new disagreement stems from scores 1 and 2 NL Beetz, M Haas, A Baur, F Konietschke, A Roy, CA Hamm, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2022 | 8 | 2022 |
| A probabilistic approach for interpretable deep learning in liver cancer diagnosis CJ Wang, CA Hamm, BS Letzen, JS Duncan Medical Imaging 2019: Computer-Aided Diagnosis 10950, 220-228, 2019 | 8 | 2019 |
| Quantitative imaging biomarkers for Yttrium-90 distribution on Bremsstrahlung single photon emission computed tomography after resin-based radioembolization I Schobert, J Chapiro, N Nezami, CA Hamm, B Gebauer, M De Lin, ... Journal of Nuclear Medicine, 2019 | 8 | 2019 |
| A high‐throughput imaging platform to characterize extracellular pH in organotypic three‐dimensional in vitro models of liver cancer LJ Savic, IT Schobert, CA Hamm, LC Adam, F Hyder, D Coman NMR in Biomedicine 34 (3), e4465, 2021 | 7 | 2021 |
| Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies CA Hamm, GL Baumgärtner, AR Padhani, KP Froböse, F Dräger, ... European radiology, 1-12, 2024 | 5 | 2024 |
