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Axel Rominger
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2020 – today
- 2024
- [j12]Jiehui Jiang, Rong Shi, Jiaying Lu, Min Wang, Qi Zhang, Shuoyan Zhang, Luyao Wang, Ian Alberts, Axel Rominger, Chuantao Zuo, Kuangyu Shi:
Detection of individual brain tau deposition in Alzheimer's disease based on latent feature-enhanced generative adversarial network. NeuroImage 291: 120593 (2024) - 2023
- [j11]Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, Jun Hou, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu:
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. Medical Image Anal. 90: 102993 (2023) - [c8]Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler:
Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. MICCAI (1) 2023: 290-299 - [i3]Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu:
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising. CoRR abs/2304.00570 (2023) - [i2]Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler:
Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. CoRR abs/2305.10569 (2023) - 2022
- [j10]Amira Soliman, Jose Ramon Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Bart N. M. van Berckel, Andrea Pilotto, Alessandro Padovani, Silvia Morbelli, Dag Aarsland, Flavio Nobili, Valentina Garibotto, Miguel Ochoa Figueroa:
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. BMC Medical Informatics Decis. Mak. 22-S(6): 318 (2022) - [j9]Min Wang, Bixiao Cui, Yi Shan, Hongwei Yang, Zhuangzhi Yan, Lalith Kumar Shiyam Sundar, Ian Alberts, Axel Rominger, Thomas Wendler, Kuangyu Shi, Yan Ma, Jiehui Jiang, Jie Lu:
Non-Invasive Glucose Metabolism Quantification Method Based on Unilateral ICA Image Derived Input Function by Hybrid PET/MR in Ischemic Cerebrovascular Disease. IEEE J. Biomed. Health Informatics 26(10): 5122-5129 (2022) - [c7]Christoph Clement, Gabriele Birindelli, Marco Pizzichemi, Francesco Pagano, Marianna Kruithof-de Julio, Axel Rominger, Sibylle Ziegler, Etiennette Auffray, Kuangyu Shi:
Concept Development of an On-Chip PET System. EMBC 2022: 2236-2239 - 2021
- [j8]Gloria Biechele, Karin Wind, Tanja Blume, Christian Sacher, Leonie Beyer, Florian Eckenweber, Nicolai Franzmeier, Michael Ewers, Benedikt Zott, Simon Lindner, Franz-Josef Gildehaus, Barbara von Ungern-Sternberg, Sabina Tahirovic, Michael Willem, Peter Bartenstein, Paul Cumming, Axel Rominger, Jochen Herms, Matthias Brendel:
Microglial activation in the right amygdala-entorhinal-hippocampal complex is associated with preserved spatial learning in AppNL-G-F mice. NeuroImage 230: 117707 (2021) - [c6]Christoph Clement, Gabriele Birindelli, Marco Pizzichemi, Francesco Pagano, Marianna Kruithof-de Julio, Axel Rominger, Etiennette Auffray, Kuangyu Shi:
Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector. EMBC 2021: 3366-3369 - [c5]Song Xue, Karl Peter Bohn, Rui Guo, Hasan Sari, Marco Viscione, Axel Rominger, Biao Li, Kuangyu Shi:
Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner. EMBC 2021: 4120-4122 - [c4]Gabriele Birindelli, Milos Drobnjakovic, Volker Morath, Katja Steiger, Calogero D'Alessandria, Eleni Gourni, Ali Afshar-Oromieh, Wolfgang Weber, Axel Rominger, Matthias Eiber, Kuangyu Shi:
In silico study on radiobiological efficacy of Ac-225 and Lu-177 for PSMA-guided radiotherapy. EMBC 2021: 4497-4500
2010 – 2019
- 2019
- [c3]Yu Zhao, Andrei Gafita, Giles Tetteh, Fabian Haupt, Ali Afshar-Oromieh, Bjoern H. Menze, Matthias Eiber, Axel Rominger, Kuangyu Shi:
Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. EMBC 2019: 951-954 - [c2]Yu Zhao, Ping Wu, Jian Wang, Hongwei Li, Nassir Navab, Igor Yakushev, Wolfgang Weber, Markus Schwaiger, Sung-Cheng Huang, Paul Cumming, Axel Rominger, Chuantao Zuo, Kuangyu Shi:
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images. EMBC 2019: 3531-3534 - 2018
- [j7]Maximilian Deussing, Tanja Blume, Lena Vomacka, Christoph Mahler, Carola Focke, Andrei Todica, Marcus Unterrainer, Nathalie L. Albert, Simon Lindner, Barbara von Ungern-Sternberg, Karlheinz Baumann, Andreas Zwergal, Peter Bartenstein, Jochen Herms, Axel Rominger, Matthias Brendel:
Coupling between physiological TSPO expression in brain and myocardium allows stabilization of late-phase cerebral [18F]GE180 PET quantification. NeuroImage 165: 83-91 (2018) - [c1]Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi:
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. DLMIA/ML-CDS@MICCAI 2018: 227-235 - [i1]Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi:
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. CoRR abs/1810.05733 (2018) - 2017
- [j6]Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Johannes Levin, Madeleine Schuberth, Matthias Brendel, Axel Rominger, Kai Bötzel, Gaëtan Garraux, Christophe Phillips:
Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism. Frontiers Neuroinformatics 11: 23 (2017) - 2015
- [j5]Fermín Segovia, Ignacio Álvarez Illán, Juan Manuel Górriz, Javier Ramírez, Axel Rominger, Johannes Levin:
Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks. Frontiers Comput. Neurosci. 9: 137 (2015) - [j4]Matthias Brendel, Marcus Högenauer, Andreas Delker, Julia Sauerbeck, Peter Bartenstein, John Seibyl, Axel Rominger:
Improved longitudinal [18F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction. NeuroImage 108: 450-459 (2015) - 2014
- [j3]Matthias Brendel, Andreas Delker, Christina Rötzer, Guido Böning, Janette Carlsen, Clemens Cyran, Erik Mille, Franz-Josef Gildehaus, Paul Cumming, Karlheinz Baumann, Harald Steiner, Christian Haass, Jochen Herms, Peter Bartenstein, Axel Rominger:
Impact of partial volume effect correction on cerebral β-amyloid imaging in APP-Swe mice using [18F]-florbetaben PET. NeuroImage 84: 843-853 (2014) - 2010
- [j2]Christian la Fougère, Guido Böning, Hero Bartmann, Björn Wängler, Sebastian Nowak, Theresa Just, Erika Wagner, Petra Winter, Axel Rominger, Stefan Förster, Franz-Josef Gildehaus, Pedro Rosa-Neto, Luciano Minuzzi, Peter Bartenstein, Heidrun Potschka, Paul Cumming:
Uptake and binding of the serotonin 5-HT1A antagonist [18F]-MPPF in brain of rats: Effects of the novel P-glycoprotein inhibitor tariquidar. NeuroImage 49(2): 1406-1415 (2010) - [j1]Christian la Fougère, Andreas Zwergal, Axel Rominger, Stefan Förster, Gunther Fesl, Marianne Dieterich, Thomas Brandt, Michael Strupp, Peter Bartenstein, Klaus Jahn:
Real versus imagined locomotion: A [18F]-FDG PET-fMRI comparison. NeuroImage 50(4): 1589-1598 (2010)
Coauthor Index
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last updated on 2024-12-17 21:51 CET by the dblp team
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