| 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 | 100 | 2015 |
| 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 | 61 | 2017 |
| 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 | 52 | 2018 |
| 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 | 20 | 2017 |
| 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 | 13 | 2015 |
| 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 | 11 | 2016 |
| 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 | 4 | 2014 |
| 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 | 3 | 2021 |
| 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 | 3 | 2015 |
| 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 | 2 | 2015 |
| 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 | 2 | 2014 |
| Mixture Model Based Efficient Method for Magnetic Resonance Spectra Quantification F Binczyk, M Marczyk, J Polanska Bioinformatics and Biomedical Engineering: Third International Conference …, 2015 | 1 | 2015 |
| 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 | 1 | 2015 |
| 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 | 1 | 2010 |
| 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 | | |
