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Franciszek Binczyk
Franciszek Binczyk
Politechnika Śląska, zakład Analizy Eksploracyjnej Danych
Zweryfikowany adres z polsl.pl - Strona główna
Tytuł
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DALSA: Domain adaptation for supervised learning from sparsely annotated MR images
M Goetz, C Weber, F Binczyk, J Polanska, R Tarnawski, ...
IEEE transactions on medical imaging 35 (1), 184-196, 2015
1022015
Serum lipid profile discriminates patients with early lung cancer from healthy controls
M Ros-Mazurczyk, K Jelonek, M Marczyk, F Binczyk, M Pietrowska, ...
Lung Cancer 112, 69-74, 2017
632017
Favourable outcomes in patients with early-stage non-small-cell lung cancer operated on by video-assisted thoracoscopic surgery: a propensity score-matched analysis
R Dziedzic, T Marjanski, F Binczyk, J Polanska, W Sawicka, W Rzyman
European Journal of Cardio-Thoracic Surgery 54 (3), 547-553, 2018
582018
MiMSeg-an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
F Binczyk, B Stjelties, C Weber, M Goetz, K Meier-Hein, HP Meinzer, ...
Information Sciences 384, 235-248, 2017
202017
Strategies for optimizing the phase correction algorithms in Nuclear Magnetic Resonance spectroscopy
F Binczyk, R Tarnawski, J Polanska
Biomedical engineering online 14, 1-14, 2015
142015
Early detection of malignant transformation in resected WHO II low-grade glioma using diffusion tensor-derived quantitative measures
MT Freitag, KH Maier-Hein, F Binczyk, FB Laun, C Weber, D Bonekamp, ...
PLoS One 11 (10), e0164679, 2016
122016
Tumor progression mapping: An intuitive visualization of glioblastoma progression in MR follow-ups
C Weber, B Stieltjes, J Polanska, F Binczyck, R Tamawski, ...
Proc. Annu. Meet. ISMRM, 2014
42014
Tumor infiltrating lymphocyte signature is associated with single nucleotide polymorphisms and predicts survival in esophageal squamous cell carcinoma patients
C Suo, H Chen, F Binczyk, R Zhao, J Fan, X Yang, Z Yuan, D Kreil, ...
Aging (Albany NY) 13 (7), 10369, 2021
32021
Comparison of Black Box Implementations of Two Algorithms of Processing of NMR Spectra, Gaussian Mixture Model and Singular Value Decomposition.
M Staniszewski, F Binczyk, A Skorupa, L Boguszewicz, M Sokol, ...
BIOSIGNALS, 57-65, 2015
32015
Überwachtes Lernen zur Prädiktion von Tumorwachstum
C Weber, M Götz, F Binczyck, J Polanska, R Tarnawski, B Bobek-Billewicz, ...
Bildverarbeitung für die Medizin 2015: Algorithmen-Systeme-Anwendungen …, 2015
22015
Improvement in the accuracy of Nuclear Magnetic Resonance spectrum analysis by automatic tuning of phase correction algorithms.
F Binczyk, R Tarnawski, J Polanska
IWBBIO, 778-788, 2014
22014
Mixture model based efficient method for magnetic resonance spectra quantification
F Binczyk, M Marczyk, J Polanska
Bioinformatics and Biomedical Engineering: Third International Conference …, 2015
12015
Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis
M Götz, C Weber, F Binczyck, J Polanska, R Tarnawski, B Bobek-Billewicz, ...
Bildverarbeitung für die Medizin 2015: Algorithmen-Systeme-Anwendungen …, 2015
12015
Mixture model of NMR-its application to diagnosis and treatment of brain cancer
F Binczyk, R Tarnawski, J Polańska
Archives of Control Sciences 20 (4), 457-472, 2010
12010
Ga-68 DOTATATE PET/CT imaging for robotic radiotherapy in patients with meningiomas
M Fudzińska, R Tarnawski, E Nowicka, H Grzbiela, ...
Radiotherapy and Oncology, II, 2015
2015
Multiparametrical diffusion weighted imaging for the detection of anaplastic transformation of low-grade gliomas
MT Freitag, C Weber, K Maier-Hein, R Tarnawski, B Bobek-Billewicz, ...
Cancer Imaging 14, 1-1, 2014
2014
Gaussian mixture model based analysis of apparent diffusion coefficient maps for differentiation between malignant and benign brain tumours-preliminary results.
J Polanska, F Binczyk, A Hebda, B Bobek-Billewicz
IWBBIO, 647-648, 2013
2013
Multiparametrical diffusion tensor imaging for the detection of anaplastic transformation of low-grade gliomas
MT Freitag, C Weber, K Maier-Hein, F Binczyck, B Bobek-Billewicz, ...
MiMSeg–an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient
K Meier-Hein, HP Meinzer, B Bobek-Bille, F Binczyk, B Stjelties, C Weber
APPLICATION OF CONVOLUTIONAL NEURAL NETWORK-DEEP LEARNING-AS AN EFFICIENT TECHNIQUE FOR AUTOMATED SEGMENTATION OF HIGH GRADE GLIOMAS.
S Kocot, F Binczyk
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