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Burczyński T., Mrozek A., Kuś W., Design of New Flat Nanomaterials Based on Carbon,
NANOWORLD CONFERENCE, 2017-04-03/04-05, BOSTON (US), 1-, 2017 |  |
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Burczyński T., Mrozek A., Kuś W., Generation of graphene-like atoms structures by means of memetic algorithms,
ECCOMAS 2016, EUROPEAN CONGRESS ON COMPUTATIONAL METHODS IN APPLIED SCIENCES AND ENGINEERING, 2016-06-05/06-10, HERSONISSOS (GR), 9447, 1-, 2016 |  |
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Burczyński T., Mrozek A., Kuś W., Computational models of new graphene-like nano-structures,
SOLMECH 2016, 40TH SOLID MECHANICS CONFERENCE, 2016-08-29/09-02, WARSZAWA (PL), P253, 1-2, 2016 | |
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Burczyński T., Orantek P., Uncertain identification problems in the context of granular computing,
STUDIES IN COMPUTATIONAL INTELLIGENCE, 182, 329-350, 2009 | |
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Burczyński T., Szczepanik M., Intelligent optimal design of spatial structures,
COMPUTERS AND STRUCTURES, 127, 102-115, 2013 | |
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Burczyński Tadeusz, Instytuty PAN na mapie nauki w Polsce,
FORUM AKADEMICKIE, 7-8, 20-21, 2023 | |
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Byra M., Breast mass classification with transfer learning based on scaling of deep representations,
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 69, 102828-1-8, 2021 | |
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Byra M., Discriminant analysis of neural style representations for breast lesion classification in ultrasound,
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 38, 684-690, 2018 | |
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Byra M., Dobruch-Sobczak K., Klimonda Z., Piotrzkowska-Wróblewska H., Litniewski J., Early prediction of response to neoadjuvant chemotherapy in breast cancer sonography using Siamese convolutional neural networks,
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 25, 3, 797-805, 2021 | |
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Byra M., Dobruch-Sobczak K., Piotrzkowska-Wróblewska H., Klimonda Z., Litniewski J., Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signals,
PHYSICS IN MEDICINE AND BIOLOGY, 67, 18, 1-15, 2022 | |
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Byra M., Dobruch-Sobczak K., Piotrzkowska-Wróblewska H., Klimonda Z., Litniewski J., Explaining a deep learning based breast ultrasound image classifier with saliency maps,
JOURNAL OF ULTRASONOGRAPHY, 22, e70-e75, 2022 | |
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Byra M., Galperin M., Ojeda-Fournier H., Olson L., O Boyle M., Comstock C., Andre M., Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion,
MEDICAL PHYSICS, 46, 2, 746-755, 2019 | |
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Byra M., Galperin M., Ojeda-Fournier H., Olson L., O'Boyle M., Comstock C., Andre M., Comparison of deep learning and classical breast mass classification methods in ultrasound,
ASA, 178TH MEETING OF THE ACOUSTICAL SOCIETY OF AMERICA, 2019-12-02/12-06, SAN DIEGO (US), 146, 4, 2864-1-, 2019 | |
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Byra M., Gambin B., Temperature detection based on nonparametric statistics of ultrasound echoes,
HYDROACOUSTICS, 18, 17-23, 2015 | |
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Byra M., Han A., Boehringer A., Zhang Y., Erdman J., Loomba R., Valasek M., Sirlin C., O'Brien W., Andre M., Quantitative liver fat fraction measurement by multi-view sonography using deep learning and attention maps,
ASA, 178TH MEETING OF THE ACOUSTICAL SOCIETY OF AMERICA, 2019-12-02/12-06, SAN DIEGO (US), 146, 4, 2809-1-, 2019 | |
