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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
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
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
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
Byra M., Kruglenko E., Gambin B., Nowicki A., Temperature Monitoring during Focused Ultrasound Treatment by Means of the Homodyned K Distribution,
ACTA PHYSICA POLONICA A, 131, 6, 1525-1528, 2017
Byra M., Nowicki A., Piotrzkowska H., Dobruch-Sobczak K., Litniewski J., Correcting the influence of tissue attenuation on Nakagami distribution shape parameter estimation,
IUS 2015, IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM, 2015-10-21/10-24, TAIPEI (TW), P1B6-3-4, 2015
Byra M., Nowicki A., Piotrzkowska-Wróblewska H., Dobruch-Sobczak K., Classification of breast lesions using segmented quantitative ultrasound maps of homodyned K distribution parameters,
MEDICAL PHYSICS, 43, 10, 5561-5569, 2016
Byra M., Piotrzkowska-Wróblewska H., Dobruch-Sobczak K., Nowicki A., Combining Nakagami imaging and convolutional neural network for breast lesion classification,
IUS 2017, IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM, 2017-09-06/09-09, WASHINGTON (US), 1-4, 2017
Byra M., Poon Ch., Shimogori T., Skibbe H., Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain,
MICCAI 2023, MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, 2023-10-08/10-12, VANCOUVER (CA), 1-, 2023
Byra M., Styczyński G., Szmigielski C., Kalinowski P., Michałowski Ł., Paluszkiewicz R., Ziarkiewicz-Wróblewska B., Zieniewicz K., Nowicki A., Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method,
IUS 2020, IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM, 2020-09-07/09-11, LAS VEGAS (US), 1-4, 2020
Byra M., Styczyński G., Szmigielski C., Kalinowski P., Michałowski Ł., Paluszkiewicz R., Ziarkiewicz-Wróblewska B., Zieniewicz K., Sobieraj P., Nowicki A., Transfer learning with deep convolutiona lneural network for liver steatosis assessment in ultrasound images,
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 13, 12, 1895-1903, 2018
Byra M., Szmigielski C., Kalinowski P., Paluszkiewicz R., Ziarkiewicz-Wróblewska B., Zieniewicz K., Styczyński G., Ultrasound and biomarker based assessment of hepatic steatosis in patients with severe obesity,
POLISH ARCHIVES OF INTERNAL MEDICINE, 1, 1-23, 2022
Byra M., Sznajder T., Korzinek D., Piotrzkowska-Wróblewska H., Dobruch-Sobczak K., Nowicki A., Marasek K., Impact of Ultrasound Image Reconstruction Method on Breast Lesion Classification with Deep Learning. Pattern Recognition and Image Analysis,
IBPRIA 2019, 9TH IBERIAN CONFERENCE ON PATTERN RECOGNITION AND IMAGE ANALYSI, 2019-07-01/07-04, MADRYT (ES), 41-52, 2019
Byra M., Wan L., Wong J.H., Du J., Shah SB., Andre M.P., Chang E.Y., Quantitative ultrasound and b-mode image texture featurescorrelate with collagen and myelin content in human ulnarnerve fascicles,
ULTRASOUND IN MEDICINE AND BIOLOGY, 45, 7, 1830-1840, 2019
Byra M., Wójcik J., Nowicki A., Using Empirical Mode Decomposition of Backscattered Ultrasound Signal Power Spectrum for Assessment of Tissue Compression,
ARCHIVES OF ACOUSTICS, 43, 3, 447-453, 2018

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