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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 | |
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Byra M., Han A., Boehringer A.S., Zhang Y.N., O'Brien Jr W.D., Erdman Jr J.W., Loomba R., Sirlin C.B., Andre M., Liver fat assessment in multiview sonography using transfer learning with convolutional neural networks,
JOURNAL OF ULTRASOUND IN MEDICINE, 1-10, 2021 | |
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Byra M., Hentzen E., Du J., Andre M., Chang E.Y., Shah S., Assessing the performance of morphologic and echogenic features in median nerve ultrasound for carpal tunnel syndrome diagnosis,
JOURNAL OF ULTRASOUND IN MEDICINE, 39, 6, 1165-1174, 2020 | |
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Byra M., Jarosik P., Dobruch-Sobczak K., Klimonda Z., Piotrzkowska-Wróblewska H., Litniewski J., Nowicki A., Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks,
ULTRASONICS, 121, 106682-1-9, 2022 | |
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Byra M., Jarosik P., Szubert A., Galperine M., Ojeda-Fournier H., Olson L., O'Boyle M., Comstock Ch., Andre M., Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network,
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 61, 102027-1-10, 2020 | |
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Byra M., Karwat P., Ryzhankow I., Komorowski P., Klimonda Z., Fura Ł., Pawłowska A., Żołek N., Litniewski J., Deep meta-learning for the selection of accurate ultrasound based breast mass classifier,
IUS 2022, IEEE, INTERNATIONAL ULTRASONIC SYMPOSIUM, 2022-10-10/10-13, WENECJA (IT), 1-4, 2022 | |
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Byra M., Klimonda Z., Kruglenko E., Gambin B., Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment,
ULTRASONICS, 122, 106689-1-7, 2022 | |
