| Performance characteristics of the Biograph Vision Quadra PET/CT system with a long axial field of view using the NEMA NU 2-2018 standard GA Prenosil, H Sari, M Fürstner, A Afshar-Oromieh, K Shi, A Rominger, ... Journal of nuclear medicine 63 (3), 476-484, 2022 | 229 | 2022 |
| Clinical performance of long axial field of view PET/CT: a head-to-head intra-individual comparison of the Biograph Vision Quadra with the Biograph Vision PET/CT I Alberts, JN Hünermund, G Prenosil, C Mingels, KP Bohn, M Viscione, ... European journal of nuclear medicine and molecular imaging 48, 2395-2404, 2021 | 215 | 2021 |
| Acute versus chronic hypoxia: why a simplified classification is simply not enough C Bayer, K Shi, ST Astner, CA Maftei, P Vaupel International journal of radiation oncology, biology, physics 80 (4), 965-968, 2011 | 167 | 2011 |
| Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be? IL Alberts, L Mercolli, T Pyka, G Prenosil, K Shi, A Rominger, ... European journal of nuclear medicine and molecular imaging 50 (6), 1549-1552, 2023 | 166 | 2023 |
| Automated Whole‐Body Bone Lesion Detection for Multiple Myeloma on 68Ga‐Pentixafor PET/CT Imaging Using Deep Learning Methods L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ... Contrast media & molecular imaging 2018 (1), 2391925, 2018 | 155 | 2018 |
| The lower hippocampus global connectivity, the higher its local metabolism in Alzheimer disease M Tahmasian, L Pasquini, M Scherr, C Meng, S Förster, S Mulej Bratec, ... Neurology 84 (19), 1956-1963, 2015 | 124 | 2015 |
| Path line attributes-an information visualization approach to analyzing the dynamic behavior of 3D time-dependent flow fields K Shi, H Theisel, H Hauser, T Weinkauf, K Matkovic, HC Hege, HP Seidel Topology-Based Methods in Visualization II, 75-88, 2009 | 101 | 2009 |
| Extracting higher order critical points and topological simplification of 3D vector fields T Weinkauf, H Theisel, K Shi, HC Hege, HP Seidel VIS 05. IEEE Visualization, 2005., 559-566, 2005 | 98 | 2005 |
| Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT Y Zhao, A Gafita, B Vollnberg, G Tetteh, F Haupt, A Afshar-Oromieh, ... European journal of nuclear medicine and molecular imaging 47, 603-613, 2020 | 95 | 2020 |
| First results on kinetic modelling and parametric imaging of dynamic 18F-FDG datasets from a long axial FOV PET scanner in oncological patients H Sari, C Mingels, I Alberts, J Hu, D Buesser, V Shah, R Schepers, ... European journal of nuclear medicine and molecular imaging, 1-13, 2022 | 82 | 2022 |
| Comparing the diagnostic performance of radiotracers in recurrent prostate cancer: a systematic review and network meta-analysis IL Alberts, SE Seide, C Mingels, KP Bohn, K Shi, HD Zacho, A Rominger, ... European journal of nuclear medicine and molecular imaging 48, 2978-2989, 2021 | 76 | 2021 |
| Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer’s … M Wang, J Jiang, Z Yan, I Alberts, J Ge, H Zhang, C Zuo, J Yu, ... European journal of nuclear medicine and molecular imaging 47, 2753-2764, 2020 | 67 | 2020 |
| Digital versus analogue PET in [68Ga]Ga-PSMA-11 PET/CT for recurrent prostate cancer: a matched-pair comparison I Alberts, G Prenosil, C Sachpekidis, T Weitzel, K Shi, A Rominger, ... European journal of nuclear medicine and molecular imaging 47, 614-623, 2020 | 61 | 2020 |
| Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation D Visvikis, P Lambin, K Beuschau Mauridsen, R Hustinx, M Lassmann, ... European journal of nuclear medicine and molecular imaging 49 (13), 4452-4463, 2022 | 58 | 2022 |
| Metabolic connectivity for differential diagnosis of dementing disorders D Titov, J Diehl-Schmid, K Shi, R Perneczky, N Zou, T Grimmer, J Li, ... Journal of Cerebral Blood Flow & Metabolism 37 (1), 252-262, 2017 | 57 | 2017 |
| A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET S Xue, R Guo, KP Bohn, J Matzke, M Viscione, I Alberts, H Meng, C Sun, ... European journal of nuclear medicine and molecular imaging, 1-14, 2022 | 55 | 2022 |
| Digital PET/CT allows for shorter acquisition protocols or reduced radiopharmaceutical dose in [18F]-FDG PET/CT I Alberts, C Sachpekidis, G Prenosil, M Viscione, KP Bohn, C Mingels, ... Annals of nuclear medicine 35, 485-492, 2021 | 49 | 2021 |
| Coarse-to-fine adversarial networks and zone-based uncertainty analysis for NK/T-cell lymphoma segmentation in CT/PET images X Hu, R Guo, J Chen, H Li, D Waldmannstetter, Y Zhao, B Li, K Shi, ... IEEE journal of biomedical and health informatics 24 (9), 2599-2608, 2020 | 48 | 2020 |
| Quantitative assessment of hypoxia kinetic models by a cross-study of dynamic 18F-FAZA and 15O-H2O in patients with head and neck tumors K Shi, M Souvatzoglou, ST Astner, P Vaupel, F Nüsslin, JJ Wilkens, ... Journal of Nuclear Medicine 51 (9), 1386-1394, 2010 | 46 | 2010 |
| Implementing cell-free DNA of pancreatic cancer patient–derived organoids for personalized oncology Z Dantes, HY Yen, N Pfarr, C Winter, K Steiger, A Muckenhuber, A Hennig, ... Jci Insight 5 (15), 2020 | 45 | 2020 |
Axel RomingerProfessor für NuklearmedizinVerified email at insel.ch
