Giles Tetteh
Giles Tetteh
Doctoral Candidate, Technische Universität München (TUM)
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Zitiert von
Zitiert von
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, 2018
Knowledge-aided convolutional neural network for small organ segmentation
Y Zhao, H Li, S Wan, A Sekuboyina, X Hu, G Tetteh, M Piraud, B Menze
IEEE journal of biomedical and health informatics 23 (4), 1363-1373, 2019
Deepvesselnet: Vessel segmentation, centerline prediction, and bifurcation detection in 3-d angiographic volumes
G Tetteh, V Efremov, ND Forkert, M Schneider, J Kirschke, B Weber, ...
arXiv preprint arXiv:1803.09340, 2018
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
DeepASL: Kinetic model incorporated loss for denoising arterial spin labeled MRI via deep residual learning
C Ulas, G Tetteh, S Kaczmarz, C Preibisch, BH Menze
International conference on medical image computing and computer-assisted …, 2018
qPSMA: Semiautomatic software for whole-body tumor burden assessment in prostate cancer using 68Ga-PSMA11 PET/CT
A Gafita, M Bieth, M Krönke, G Tetteh, F Navarro, H Wang, E Günther, ...
Journal of Nuclear Medicine 60 (9), 1277-1283, 2019
Deep-FExt: Deep feature extraction for vessel segmentation and centerline prediction
G Tetteh, M Rempfler, C Zimmer, BH Menze
International Workshop on Machine Learning in Medical Imaging, 344-352, 2017
Automated analysis of whole brain vasculature using machine learning
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, V Efremov, K Völgyi, ...
bioRxiv, 613257, 2019
Multi-modal image classification using low-dimensional texture features for genomic brain tumor recognition
E Alberts, G Tetteh, S Trebeschi, M Bieth, A Valentinitsch, B Wiestler, ...
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging …, 2017
Machine learning analysis of whole mouse brain vasculature
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, S Shit, V Efremov, ...
Nature Methods 17 (4), 442-449, 2020
Direct estimation of pharmacokinetic parameters from DCE-MRI using deep CNN with forward physical model loss
C Ulas, G Tetteh, MJ Thrippleton, PA Armitage, SD Makin, JM Wardlaw, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
W-Net for Whole-Body Bone Lesion Detection on Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients
L Xu, G Tetteh, M Mustafa, J Lipkova, Y Zhao, M Bieth, P Christ, M Piraud, ...
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017
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 (3), 603-613, 2020
Machine learning to predict post-therapy dosimetry for Lu-177-PSMA I&T treatment
K Shi, S Xue, A Gafita, C Dong, Y Zhao, G Tetteh, BH Menze, ...
Artificial Neural Network for Prediction of Post-therapy Dosimetry for 177Lu-PSMA I&T Therapy
K Shi, C Dong, A Gafita, Y Zhao, G Tetteh, B Menze, A Afshar-Oromieh, ...
Journal of Nuclear Medicine 60 (supplement 1), 1185-1185, 2019
Transfer learning from synthetic data reduces need for labels to segment brain vasculature and neural pathways in 3D
JC Paetzold, O Schoppe, R Al-Maskari, G Tetteh, V Efremov, MI Todorov, ...
International Conference on Medical Imaging with Deep Learning--Extended …, 2019
clDice—a novel connectivity-preserving loss function for vessel segmentation
JC Paetzold, S Shit, I Ezhov, G Tetteh, A Ertürk, HZ Munich, B Menze
Medical Imaging Meets NeurIPS 2019 Workshop, 2019
Multi-Task Deep Learning for the Detection of Lesions on 68Ga-PSMA PET/CT Imaging
K Shi, L Xu, G Tetteh, A Gafita, F Haupt, A Afshar Oromieh, M Eiber, ...
European journal of nuclear medicine and molecular imaging 45 (S1), S43-S43, 2018
clDice--a Topology-Preserving Loss Function for Tubular Structure Segmentation
S Shit, JC Paetzold, A Sekuboyina, A Zhylka, I Ezhov, A Unger, ...
arXiv preprint arXiv:2003.07311, 2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark
A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ...
arXiv preprint arXiv:2001.09193, 2020
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