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Jump to: Book Section | Conference or Workshop Item Number of items: 8. Book SectionSápi, Johanna (2017) Animal Experiments in Cancer Research: Wasteful or Unavoidable? In: IEEE 30th Jubilee Neumann Colloquium : Neumann Colloquium 2017. Óbudai Egyetem, Budapest, pp. 157-162. ISBN 9781538646359 Conference or Workshop ItemGyőrfi, Ágnes and Csaholczi, Szabolcs and Fülöp, Tímea and Kovacs, Levente and Szilágyi, László (2020) Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. In: IEEE International Conference of Systems, Man and Cybernetics (2020, Toronto), 11-14 Oct 2020, Toronto, Kanada. (In Press) Fulop, Timea and Gyorfi, Agnes and Csaholczi, Szabolcs and Kovacs, Levente and Szilágyi, László (2020) Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning. In: 15th IEEE International Conference of System of Systems Engineering (SoSE 2020), 2-4 Jun 2020, Budapest, Magyarország. Fulop, Timea and Gyorfi, Agnes and Suranyi, Bela and Kovacs, Levente and Szilagyi, Laszlo (2020) Brain Tumor Segmentation from MRI Data Using Ensemble Learning and Multi-Atlas. In: 18th IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI 2020, Herl'any, Slovakia), 23-25 Jan 2020, Herl'any, Slovakia. Gyorfi, Agnes and Fulop, Timea and Kovacs, Levente and Szilágyi, László (2020) The Effect of Spectral Resolution Upon the Accuracy of Brain Tumor Segmentation from Multi-Spectral MRI Data. In: 18th IEEE World Symposium on Applied Machine Intelligence and Informatics, 23-25 Jan 2020, Herl'any, Slovakia. Győrfi, Ágnes and Kovács, Levente and Szilágyi, László (2019) Brain tumor segmentation from multispectral MR image data using ensemble learning methods. In: Iberoamerican Congress on Pattern Recognition (CIARP 2019), 28-31 Oct 2019, La Habana, Cuba. (In Press) Győrfi, Ágnes and Karetka-Mezei, Zoltán and Iclanzan, David and Kovács, Levente and Szilágyi, László (2019) A study on histogram normalization for brain tumor segmentation from multispectral MR image data. In: Iberoamerican Congress on Pattern Recognition (CIARP 2019), 28-31 Oct 2019, La Habana, Cuba. (In Press) Győrfi, Ágnes and Kovács, Levente and Szilágyi, László (2019) A feature ranking and selection algorithm for brain tumor segmentation in multi-spectral magnetic resonance image data. In: Annual International Conference of IEEE Engineering in Medicine and Biology Society, 23-27 Jul 2019, Berlin. |