Giles Tetteh

1.8k total citations
18 papers, 844 citations indexed

About

Giles Tetteh is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Giles Tetteh has authored 18 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Neurology. Recurrent topics in Giles Tetteh's work include Radiopharmaceutical Chemistry and Applications (6 papers), Medical Imaging Techniques and Applications (5 papers) and Prostate Cancer Treatment and Research (5 papers). Giles Tetteh is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (6 papers), Medical Imaging Techniques and Applications (5 papers) and Prostate Cancer Treatment and Research (5 papers). Giles Tetteh collaborates with scholars based in Germany, Switzerland and Ghana. Giles Tetteh's co-authors include Bjoern Menze, Marie Piraud, Yu Zhao, Hongwei Li, Anjany Sekuboyina, Andrei Gafita, Kuangyu Shi, Johannes C. Paetzold, Mihail Ivilinov Todorov and Marco Düring and has published in prestigious journals such as Nature Methods, Journal of Nuclear Medicine and Frontiers in Neuroscience.

In The Last Decade

Giles Tetteh

16 papers receiving 824 citations

Peers

Countries citing papers authored by Giles Tetteh

Since Specialization

Citations

This map shows the geographic impact of Giles Tetteh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giles Tetteh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giles Tetteh more than expected).

Fields of papers citing papers by Giles Tetteh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giles Tetteh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giles Tetteh. The network helps show where Giles Tetteh may publish in the future.

Co-authorship network of co-authors of Giles Tetteh

This figure shows the co-authorship network connecting the top 25 collaborators of Giles Tetteh. A scholar is included among the top collaborators of Giles Tetteh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giles Tetteh. Giles Tetteh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

#	Work	Indexed citations
1	Prevalence of pathogenic genetic variants associated with familial hypercholesterolemia in Ghanaian children 2025 ·(unknown), (unknown), (unknown), (unknown), Giles Tetteh, (unknown), (unknown), (unknown), (unknown), (unknown), Nancy Odurowah Duah-Quashie, (unknown)	0
2	A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images 2023 ·Frontiers in Neurology ·Giles Tetteh, Fernando Navarro, Raphael Meier, Johannes Kaesmacher, Johannes C. Paetzold, Jan S. Kirschke, Claus Zimmer, Roland Wiest, Bjoern Menze	6
3	Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy 2022 ·European Journal of Nuclear Medicine and Molecular Imaging ·(unknown), Andrei Gafita, (unknown), Yu Zhao, Giles Tetteh, Bjoern Menze, Sibylle Ziegler, Wolfgang Weber, Ali Afshar‐Oromieh, Axel Rominger, Matthias Eiber, Kuangyu Shi	28
4	Multi-Task Deep Learning for the Detection of Lesions on 68Ga-PSMA PET/CT Imaging 2022 ·Bern Open Repository and Information System (University of Bern) ·Kuangyu Shi, Lichao Xu, Giles Tetteh, Andrei Gafita, (unknown), (unknown), (unknown), Bjoern Menze, Axel Rominger	0
5	Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA 2021 ·European Radiology ·Maximilian T. Löffler, Alina Jacob, (unknown), Nico Sollmann, Egon Burian, Malek El Husseini, Anjany Sekuboyina, Giles Tetteh, Claus Zimmer, Jens Gempt, Thomas Baum, Jan S. Kirschke	70
6	Machine learning analysis of whole mouse brain vasculature 2020 ·Nature Methods ·Mihail Ivilinov Todorov, Johannes C. Paetzold, Oliver Schoppe, Giles Tetteh, Suprosanna Shit, (unknown), Katalin Völgyi, Marco Düring, Martin Dichgans, Marie Piraud, Bjoern Menze, Ali Ertürk	205
7	BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific Practice 2020 ·Frontiers in Neuroscience ·Florian Kofler, Christoph Berger, (unknown), Jana Lipková, Ivan Ezhov, Giles Tetteh, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern Menze	61
8	Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT 2019 ·European Journal of Nuclear Medicine and Molecular Imaging ·Yu Zhao, Andrei Gafita, Bernd Vollnberg, Giles Tetteh, (unknown), Ali Afshar‐Oromieh, Bjoern Menze, Matthias Eiber, Axel Rominger, Kuangyu Shi	72
9	qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using ⁶⁸Ga-PSMA11 PET/CT 2019 ·Journal of Nuclear Medicine ·Andrei Gafita, (unknown), Martin Krönke, Giles Tetteh, Fernando Navarro, Hui Wang, (unknown), Bjoern Menze, Wolfgang Weber, Matthias Eiber	92
10	Transfer learning from synthetic data reduces need for labels to segment brain vasculature and neural pathways in 3D 2019 ·Johannes C. Paetzold, Oliver Schoppe, (unknown), Giles Tetteh, (unknown), Mihail Ivilinov Todorov, Ruiyao Cai, Hongcheng Mai, Zhouyi Rong, (unknown), Bjoern Menze	2
11	Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images 2019 ·PubMed ·Yu Zhao, Andrei Gafita, Giles Tetteh, (unknown), Ali Afshar‐Oromieh, Bjoern Menze, Matthias Eiber, Axel Rominger, Kuangyu Shi	8
12	Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation 2019 ·IEEE Journal of Biomedical and Health Informatics ·Yu Zhao, Hongwei Li, Shaohua Wan, Anjany Sekuboyina, Xiaobin Hu, Giles Tetteh, Marie Piraud, Bjoern Menze	139
13	Artificial Neural Network for Prediction of Post-therapy Dosimetry for 177Lu-PSMA I&T Therapy 2019 ·Nuklearmedizin - NuclearMedicine ·Kuangyu Shi, Chao Dong, Andrei Gafita, Yu Zhao, Giles Tetteh, (unknown), Ali Afshar‐Oromieh, Matthias Eiber, Axel Rominger	1
14	Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis 2018 ·Yu Zhao, Hongwei Li, Zhou Rong, Giles Tetteh, Marc Niethammer, Bjoern Menze	2
15	Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on ⁶⁸Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods 2018 ·Contrast Media & Molecular Imaging ·Lina Xu, Giles Tetteh, Jana Lipková, Yu Zhao, Hongwei Li, Patrick Ferdinand Christ, Marie Piraud, Andreas K. Buck, Kuangyu Shi, Bjoern Menze	88
16	Occupational radiation exposure to norms in a gold mine 2005 ·Radiation Protection Dosimetry ·E. O. Darko, Giles Tetteh, E.H.K. Akaho	36
17	Analysis of the status of X-ray diagnosis in Ghana. 1998 ·British Journal of Radiology ·(unknown), Giles Tetteh	17
18	Analysis of Dose and Dose Distribution for Patients Undergoing Selected X-Ray Diagnostic Procedures in Ghana 1998 ·Radiation Protection Dosimetry ·(unknown), Giles Tetteh	17

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact