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Albert Guvenis
Albert Guvenis
Institute of Biomedical Engineering
Verified email at ieee.org
Title
Cited by
Cited by
Year
Hypoxia and acidosis: immune suppressors and therapeutic targets
S Damgaci, A Ibrahim‐Hashim, PM Enriquez‐Navas, S Pilon‐Thomas, ...
Immunology 154 (3), 354-362, 2018
1842018
Novel clinical and radiomic predictors of rapid disease progression phenotypes among lung cancer patients treated with immunotherapy: an early report
I Tunali, JE Gray, J Qi, M Abdalah, DK Jeong, A Guvenis, RJ Gillies, ...
Lung Cancer 129, 75-79, 2019
1302019
The application of decision theory to contingency selection
R Fischl, T Halpin, A Guvenis
IEEE Transactions on circuits and systems 29 (11), 712-723, 1982
781982
Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions
I Tunali, LO Hall, S Napel, D Cherezov, A Guvenis, RJ Gillies, ...
Medical physics 46 (11), 5075-5085, 2019
602019
Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients
I Tunali, O Stringfield, A Guvenis, H Wang, Y Liu, Y Balagurunathan, ...
Oncotarget 8 (56), 96013, 2017
312017
Hypoxia-related radiomics and immunotherapy response: a multicohort study of non-small cell lung cancer
I Tunali, Y Tan, JE Gray, E Katsoulakis, SA Eschrich, J Saller, HJWL Aerts, ...
JNCI Cancer Spectrum 5 (4), pkab048, 2021
272021
Implementation and statistical evaluation of a web-based software for bone age assessment
M Yildiz, A Guvenis, E Guven, D Talat, M Haktan
Journal of medical systems 35, 1485-1489, 2011
172011
A method for reconstructing images from data obtained with a hexagonal bar positron camera
G Muehllehner, JS Karp, A Guvenis
IEEE transactions on medical imaging 4 (3), 134-138, 1985
171985
Statistical power transmission network design
R Fischl, A Guvenis, T Halpin
IEEE Transactions on Circuits and Systems 29 (10), 679-687, 1982
151982
Immunotherapy on acid: opportunities and challenges
S Damgaci, PM Enriquez-Navas, S Pilon-Thomas, A Guvenis, RJ Gillies, ...
European journal of clinical nutrition 74 (Suppl 1), 3-6, 2020
62020
Hypoxia-Related radiomics predict immunotherapy response: a multi-cohort study of NSCLC
I Tunali, Y Tan, JE Gray, E Katsoulakis, SA Eschrich, J Saller, T Boyle, J Qi, ...
BioRxiv, 2020.04. 02.020859, 2020
52020
Design and evaluation of a breast-specific collimator using response surface methodology and Monte Carlo simulations
D Talat, A Guvenis
IEEE Transactions on Nuclear Science 63 (1), 98-107, 2015
52015
Optimising delineation accuracy of tumours in PET for radiotherapy planning using blind deconvolution
A Guvenis, A Koc
Radiation protection dosimetry 165 (1-4), 495-498, 2015
52015
Design and evaluation of an accurate CNR-guided small region iterative restoration-based tumor segmentation scheme for PET using both simulated and real heterogeneous tumors
A Koç, A Güveniş
Medical & Biological Engineering & Computing 58, 335-355, 2020
42020
OA02. 05 Clinical-Radiomic Models Predict Overall Survival Among Non-Small Cell Lung Cancer Patients Treated with Immunotherapy
I Tunali, Y Tan, JE Gray, S Eschrich, A Guvenis, R Gillies, M Schabath
Journal of Thoracic Oncology 14 (11), S1129, 2019
42019
Robust whole-tumour 3D volumetric CT-based radiomics approach for predicting the WHO/ISUP grade of a CCRCC tumour
A Karagöz, A Guvenis
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2023
32023
Robust design of a breast scintigraphy collimator using Monte Carlo simulation and response surface method
S Balta, A Guvenis
European Journal of Nuclear Medicine and Molecular Imaging 34, S165-S165, 2007
32007
Analysis of cut-off points for the CAGE Questionnaire for alcohol abuse
MT Taner, A Guvenis
2001 Conference Proceedings of the 23rd Annual International Conference of …, 2001
32001
Interpretable radiomics method for predicting human papillomavirus status in oropharyngeal cancer using Bayesian networks
O Altinok, A Guvenis
Physica Medica 114, 102671, 2023
22023
Hypoxia-related radiomics predict checkpoint blockade immunotherapy response of non-small cell lung cancer patients
I Tunali, Y Tan, JE Gray, E Katsoulakis, SA Eschrich, J Saller, T Boyle, J Qi, ...
Cancer Research 80 (16_Supplement), 5806-5806, 2020
22020
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