Чланци са овлашћеним јавним приступом - Giles TettehСазнајте више
Доступно негде: 15
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
Овлашћења: US National Institutes of Health, German Research Foundation, Helmholtz …
VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical image analysis 73, 102166, 2021
Овлашћења: US National Institutes of Health, European Commission, Federal Ministry of …
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
Овлашћења: German Research Foundation
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
Овлашћења: German Research Foundation
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
Овлашћења: German Research Foundation
Brats toolkit: translating brats brain tumor segmentation algorithms into clinical and scientific practice
F Kofler, C Berger, D Waldmannstetter, J Lipkova, I Ezhov, G Tetteh, ...
Frontiers in neuroscience 14, 125, 2020
Овлашћења: German Research Foundation
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA
MT Löffler, A Jacob, A Scharr, N Sollmann, E Burian, M El Husseini, ...
European radiology 31, 6069-6077, 2021
Овлашћења: German Research Foundation, European Commission
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Овлашћења: European Commission
A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data
H Liebl, D Schinz, A Sekuboyina, L Malagutti, MT Löffler, A Bayat, ...
Scientific data 8 (1), 284, 2021
Овлашћења: German Research Foundation, European Commission
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Овлашћења: European Commission
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
Овлашћења: Wellcome Trust, European Commission
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
Овлашћења: German Research Foundation, European Commission
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, ...
Овлашћења: Federal Ministry of Education and Research, Germany
A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images
G Tetteh, F Navarro, R Meier, J Kaesmacher, JC Paetzold, JS Kirschke, ...
Frontiers in neurology 14, 1039693, 2023
Овлашћења: German Research Foundation
Proof-of-concept Study to Estimate Individual Post-Therapy Dosimetry in Men with Advanced Prostate Cancer Treated with 177Lu-PSMA I&T Therapy
S Xue, A Gafita, C Dong, Y Zhao, G Tetteh, BH Menze, S Ziegler, ...
Research Square, 2022
Овлашћења: Swiss Cancer League
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