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Georgy Shakirin
Georgy Shakirin
Zeiss Medical Technology
Verified email at zeiss.com
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Cited by
Cited by
Year
Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI
KR Laukamp, F Thiele, G Shakirin, D Zopfs, A Faymonville, M Timmer, ...
European radiology 29, 124-132, 2019
1812019
On the detector arrangement for in-beam PET for hadron therapy monitoring
P Crespo, G Shakirin, W Enghardt
Physics in Medicine & Biology 51 (9), 2143, 2006
1382006
Implementation and workflow for PET monitoring of therapeutic ion irradiation: a comparison of in-beam, in-room, and off-line techniques
G Shakirin, H Braess, F Fiedler, D Kunath, K Laube, K Parodi, M Priegnitz, ...
Physics in Medicine & Biology 56 (5), 1281, 2011
1252011
Direct time-of-flight for quantitative, real-time in-beam PET: a concept and feasibility study
P Crespo, G Shakirin, F Fiedler, W Enghardt, A Wagner
Physics in Medicine & Biology 52 (23), 6795, 2007
1032007
PET imaging for treatment verification of ion therapy: Implementation and experience at GSI Darmstadt and MGH Boston
K Parodi, T Bortfeld, W Enghardt, F Fiedler, A Knopf, H Paganetti, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2008
942008
On the effectiveness of ion range determination from in-beam PET data
F Fiedler, G Shakirin, J Skowron, H Braess, P Crespo, D Kunath, ...
Physics in Medicine & Biology 55 (7), 1989, 2010
852010
Clinical evaluation of a multiparametric deep learning model for glioblastoma segmentation using heterogeneous magnetic resonance imaging data from clinical routine
M Perkuhn, P Stavrinou, F Thiele, G Shakirin, M Mohan, D Garmpis, ...
Investigative radiology 53 (11), 647-654, 2018
802018
Accuracy of radiomics-based feature analysis on multiparametric magnetic resonance images for noninvasive meningioma grading
KR Laukamp, G Shakirin, B Baeßler, F Thiele, D Zopfs, NG Hokamp, ...
World Neurosurgery 132, e366-e390, 2019
572019
Co-localisation of hypoxia and perfusion markers with parameters of glucose metabolism in human squamous cell carcinoma (hSCC) xenografts
A Yaromina, V Quennet, D Zips, S Meyer, G Shakirin, S Walenta, ...
International journal of radiation biology 85 (11), 972-980, 2009
512009
Automated meningioma segmentation in multiparametric MRI: comparable effectiveness of a deep learning model and manual segmentation
KR Laukamp, L Pennig, F Thiele, R Reimer, L Görtz, G Shakirin, D Zopfs, ...
Clinical neuroradiology 31, 357-366, 2021
482021
Dealing with geometric uncertainties in dose painting by numbers: introducing the ΔVH
M Witte, G Shakirin, A Houweling, H Peulen, M van Herk
Radiotherapy and Oncology 100 (3), 402-406, 2011
412011
A novel concept for tumour targeting with radiation: Inverse dose-painting or targeting the “Low Drug Uptake Volume”
A Yaromina, M Granzier, R Biemans, N Lieuwes, W van Elmpt, G Shakirin, ...
Radiotherapy and Oncology 124 (3), 513-520, 2017
312017
Preliminary assessment of dynamic contrast-enhanced CT implementation in pretreatment FDG-PET/CT for outcome prediction in head and neck tumors
A Abramyuk, G Wolf, G Shakirin, U Haberland, S Tokalov, A Koch, ...
Acta radiologica 51 (7), 793-799, 2010
282010
Validation of functional imaging as a biomarker for radiation treatment response
C Jentsch, B Beuthien-Baumann, EGC Troost, G Shakirin
The British Journal of Radiology 88 (1051), 2015
272015
An in silico comparison between margin-based and probabilistic target-planning approaches in head and neck cancer patients
D Fontanarosa, HP van der Laan, M Witte, G Shakirin, E Roelofs, ...
Radiotherapy and Oncology 109 (3), 430-436, 2013
212013
A method for system matrix construction and processing for reconstruction of in-beam PET data
G Shakirin, P Crespo, W Enghardt
IEEE Transactions on Nuclear Science 54 (5), 1710-1716, 2007
102007
Probabilistic evaluation of target dose deterioration in dose painting by numbers for stage II/III lung cancer
D Fontanarosa, M Witte, G Meijer, G Shakirin, J Steenhuijsen, D Schuring, ...
Practical radiation oncology 5 (4), e375-e382, 2015
72015
Liver tissue classification in patients with hepatocellular carcinoma by fusing structured and rotationally invariant context representation
J Treilhard, S Smolka, L Staib, J Chapiro, MD Lin, G Shakirin, JS Duncan
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
62017
Combining image and non-image clinical data: an infrastructure that allows machine learning studies in a hospital environment
R Espanha, F Thiele, G Shakirin, J Roggenfelder, S Zeiter, P Stavrinou, ...
Distributed Computing and Artificial Intelligence, 15th International …, 2019
32019
Evaluation scheme for a positron emission tomography system used in monitoring of radiation therapy
G Shakirin, F Fiedler, W Enghardt
Bildverarbeitung für die Medizin 2009: Algorithmen—Systeme—Anwendungen …, 2009
32009
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