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Georgi Nalbantov
Georgi Nalbantov
Managing Director, Data Science Consulting Ltd.; Research Fellow at FEBA, Sofia University
Verified email at childish.ai - Homepage
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Cited by
Year
Predicting outcomes in radiation oncology—multifactorial decision support systems
P Lambin, RGPM Van Stiphout, MHW Starmans, E Rios-Velazquez, ...
Nature reviews Clinical oncology 10 (1), 27-40, 2013
4462013
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
RTH Leijenaar, G Nalbantov, S Carvalho, WJ Van Elmpt, EGC Troost, ...
Scientific reports 5 (1), 11075, 2015
4442015
Rapid Learning health care in oncology’–an approach towards decision support systems enabling customised radiotherapy
P Lambin, E Roelofs, B Reymen, ER Velazquez, J Buijsen, CML Zegers, ...
Radiotherapy and Oncology 109 (1), 159-164, 2013
2152013
Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT
TM Deist, A Jochems, J van Soest, G Nalbantov, C Oberije, S Walsh, ...
Clinical and translational radiation oncology 4, 24-31, 2017
1642017
A prospective study comparing the predictions of doctors versus models for treatment outcome of lung cancer patients: a step toward individualized care and shared decision making
C Oberije, G Nalbantov, A Dekker, L Boersma, J Borger, B Reymen, ...
Radiotherapy and Oncology 112 (1), 37-43, 2014
1062014
Intravascular enhancement with identical iodine delivery rate using different iodine contrast media in a circulation phantom
C Mihl, JE Wildberger, T Jurencak, MJ Yanniello, EC Nijssen, JF Kalafut, ...
Investigative radiology 48 (11), 813-818, 2013
742013
Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients
G Nalbantov, B Kietselaer, K Vandecasteele, C Oberije, M Berbee, ...
Radiotherapy and Oncology 109 (1), 100-106, 2013
702013
Nearest convex hull classification
G Nalbantov, P Groenen, C Bioch
Report/Econometric Institute, Erasmus University Rotterdam, 2006
522006
Preclinical assessment of efficacy of radiation dose painting based on intratumoral FDG-PET uptake
D Trani, A Yaromina, L Dubois, M Granzier, SGJA Peeters, R Biemans, ...
Clinical Cancer Research 21 (24), 5511-5518, 2015
392015
Complete pathological response to neoadjuvant treatment is associated with better survival outcomes in patients with soft tissue sarcoma: Results of a retrospective multicenter …
S Bonvalot, J Wunder, A Gronchi, JM Broto, R Turcotte, M Rastrelli, ...
European Journal of Surgical Oncology 47 (8), 2166-2172, 2021
342021
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis. Sci Rep. 2015; 5: 11075
RTH Leijenaar, G Nalbantov, S Carvalho, WJC van Elmpt, EGC Troost, ...
Biomed Res Int 2015, 387653, 2015
342015
SVM-Maj: a majorization approach to linear support vector machines with different hinge errors
PJF Groenen, G Nalbantov, JC Bioch
Advances in data analysis and classification 2, 17-43, 2008
312008
Equity style timing using support vector regressions
G Nalbantov, R Bauer, I Sprinkhuizen-Kuyper
Applied Financial Economics 16 (15), 1095-1111, 2006
282006
Quantification of CT-assessed radiation-induced lung damage in lung cancer patients treated with or without chemotherapy and cetuximab
H Sharifi, W Van Elmpt, C Oberije, G Nalbantov, M Das, M Öllers, ...
Acta Oncologica 55 (2), 156-162, 2016
222016
Nonlinear support vector machines through iterative majorization and I-splines
PJF Groenen, G Nalbantov, JC Bioch
Advances in Data Analysis: Proceedings of the 30 th Annual Conference of the …, 2007
162007
Unanimous voting using support vector machines
EN Smirnov, IG Sprinkhuizen-Kuyper, GI Nalbantov
162005
Version space support vector machines
E Smirnov, I Sprinkhuizen-Kuyper, G Nalbantov, S Vanderlooy
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS 141, 809, 2006
142006
What level of accuracy is achievable for preclinical dose painting studies on a clinical irradiation platform?
D Trani, B Reniers, L Persoon, M Podesta, G Nalbantov, RTH Leijenaar, ...
Radiation research 183 (5), 501-510, 2015
132015
Application of machine learning for multicenter learning
JPA van Soest, ALAJ Dekker, E Roelofs, G Nalbantov
Machine Learning in Radiation Oncology: Theory and Applications, 71-97, 2015
112015
Soft nearest convex hull classifier
G Nalbantov, E Smirnov
ECAI 2010, 841-846, 2010
112010
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