| MedGAN: Medical image translation using GANs K Armanious, C Jiang, M Fischer, T Küstner, T Hepp, K Nikolaou, ... Computerized medical imaging and graphics 79, 101684, 2020 | 590 | 2020 |
| Simultaneous whole-body PET/MR imaging in comparison to PET/CT in pediatric oncology: initial results JF Schäfer, S Gatidis, H Schmidt, B Gückel, I Bezrukov, CA Pfannenberg, ... Radiology 273 (1), 220-231, 2014 | 228 | 2014 |
| Conjugated bilirubin triggers anemia by inducing erythrocyte death E Lang, S Gatidis, NF Freise, H Bock, R Kubitz, C Lauermann, HM Orth, ... Hepatology 61 (1), 275-284, 2015 | 171 | 2015 |
| p38 MAPK activation and function following osmotic shock of erythrocytes S Gatidis, C Zelenak, A Fajol, E Lang, K Jilani, D Michael, SM Qadri, ... Cellular Physiology and Biochemistry 28 (6), 1279-1286, 2011 | 156 | 2011 |
| The Inflammatory Chemokine CXC Motif Ligand 16 Triggers Platelet Activation and Adhesion Via CXC Motif Receptor 6–Dependent Phosphatidylinositide 3-Kinase/Akt Signaling O Borst, P Münzer, S Gatidis, EM Schmidt, T Schönberger, E Schmid, ... Circulation research 111 (10), 1297-1307, 2012 | 149 | 2012 |
| Retrospective correction of motion‐affected MR images using deep learning frameworks T Küstner, K Armanious, J Yang, B Yang, F Schick, S Gatidis Magnetic resonance in medicine 82 (4), 1527-1540, 2019 | 137 | 2019 |
| A whole-body FDG-PET/CT dataset with manually annotated tumor lesions S Gatidis, T Hepp, M Früh, C La Fougère, K Nikolaou, C Pfannenberg, ... Scientific Data 9 (1), 601, 2022 | 126 | 2022 |
| Unsupervised medical image translation using cycle-MedGAN K Armanious, C Jiang, S Abdulatif, T Küstner, S Gatidis, B Yang 2019 27th European signal processing conference (EUSIPCO), 1-5, 2019 | 122 | 2019 |
| Automated reference-free detection of motion artifacts in magnetic resonance images T Küstner, A Liebgott, L Mauch, P Martirosian, F Bamberg, K Nikolaou, ... Magnetic Resonance Materials in Physics, Biology and Medicine 31, 243-256, 2018 | 105 | 2018 |
| MR-based respiratory and cardiac motion correction for PET imaging T Küstner, M Schwartz, P Martirosian, S Gatidis, F Seith, C Gilliam, T Blu, ... Medical image analysis 42, 129-144, 2017 | 84 | 2017 |
| Tin-filter enhanced dual-energy-CT: image quality and accuracy of CT numbers in virtual noncontrast imaging S Kaufmann, A Sauter, D Spira, S Gatidis, D Ketelsen, M Heuschmid, ... Academic radiology 20 (5), 596-603, 2013 | 82 | 2013 |
| Single-source dual-energy computed tomography: use of monoenergetic extrapolation for a reduction of metal artifacts S Mangold, S Gatidis, O Luz, B König, C Schabel, MN Bongers, TG Flohr, ... Investigative radiology 49 (12), 788-793, 2014 | 79 | 2014 |
| Adversarial inpainting of medical image modalities K Armanious, Y Mecky, S Gatidis, B Yang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 72 | 2019 |
| A machine-learning framework for automatic reference-free quality assessment in MRI T Küstner, S Gatidis, A Liebgott, M Schwartz, L Mauch, P Martirosian, ... Magnetic resonance imaging 53, 134-147, 2018 | 70 | 2018 |
| Is it possible to detect activated brown adipose tissue in humans using single-time-point infrared thermography under thermoneutral conditions? Impact of BMI and subcutaneous … S Gatidis, H Schmidt, CA Pfannenberg, K Nikolaou, F Schick, ... PLoS One 11 (3), e0151152, 2016 | 68 | 2016 |
| Comprehensive oncologic imaging in infants and preschool children with substantially reduced radiation exposure using combined simultaneous 18F-fluorodeoxyglucose positron … S Gatidis, H Schmidt, B Gücke, I Bezrukov, G Seitz, M Ebinger, M Reimold, ... Investigative Radiology 51 (1), 7-14, 2016 | 68 | 2016 |
| Preclinical and translational PET/MR imaging HF Wehrl, S Wiehr, MR Divine, S Gatidis, GT Gullberg, FC Maier, ... Journal of Nuclear Medicine 55 (Supplement 2), 11S-18S, 2014 | 65 | 2014 |
| Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks K Armanious, T Hepp, T Küstner, H Dittmann, K Nikolaou, C La Fougère, ... EJNMMI research 10, 1-9, 2020 | 63 | 2020 |
| Is the standard uptake value (SUV) appropriate for quantification in clinical PET imaging?–Variability induced by different SUV measurements and varying reconstruction methods C Brendle, J Kupferschläger, K Nikolaou, C la Fougère, S Gatidis, ... European journal of radiology 84 (1), 158-162, 2015 | 59 | 2015 |
| MR image reconstruction using a combination of compressed sensing and partial Fourier acquisition: ESPReSSo T Küstner, C Würslin, S Gatidis, P Martirosian, K Nikolaou, NF Schwenzer, ... IEEE transactions on medical imaging 35 (11), 2447-2458, 2016 | 58 | 2016 |
Konstantin NikolaouUniversity of Tuebingen, Department of Radiology在 med.uni-tuebingen.de 的电子邮件经过验证
