| Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images M Byra, G Styczynski, C Szmigielski, P Kalinowski, Ł Michałowski, ... International journal of computer assisted radiology and surgery 13, 1895-1903, 2018 | 227 | 2018 |
| Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion M Byra, M Galperin, H Ojeda‐Fournier, L Olson, M O'Boyle, C Comstock, ... Medical physics 46 (2), 746-755, 2019 | 224 | 2019 |
| Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network M Byra, P Jarosik, A Szubert, M Galperin, H Ojeda-Fournier, L Olson, ... Biomedical Signal Processing and Control 61, 102027, 2020 | 177 | 2020 |
| Noninvasive diagnosis of nonalcoholic fatty liver disease and quantification of liver fat with radiofrequency ultrasound data using one-dimensional convolutional neural networks A Han, M Byra, E Heba, MP Andre, JW Erdman Jr, R Loomba, CB Sirlin, ... Radiology 295 (2), 342-350, 2020 | 88 | 2020 |
| Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions H Piotrzkowska‐Wróblewska, K Dobruch‐Sobczak, M Byra, A Nowicki Medical physics 44 (11), 6105-6109, 2017 | 87 | 2017 |
| Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning M Byra, M Wu, X Zhang, H Jang, YJ Ma, EY Chang, S Shah, J Du Magnetic resonance in medicine 83 (3), 1109-1122, 2020 | 71 | 2020 |
| Classification of breast lesions using segmented quantitative ultrasound maps of homodyned K distribution parameters M Byra, A Nowicki, H Wróblewska‐Piotrzkowska, K Dobruch‐Sobczak Medical physics 43 (10), 5561-5569, 2016 | 67 | 2016 |
| Early prediction of response to neoadjuvant chemotherapy in breast cancer sonography using Siamese convolutional neural networks M Byra, K Dobruch-Sobczak, Z Klimonda, H Piotrzkowska-Wroblewska, ... IEEE journal of biomedical and health informatics 25 (3), 797-805, 2020 | 56 | 2020 |
| Breast mass classification with transfer learning based on scaling of deep representations M Byra Biomedical Signal Processing and Control 69, 102828, 2021 | 55 | 2021 |
| Discriminant analysis of neural style representations for breast lesion classification in ultrasound M Byra Biocybernetics and Biomedical Engineering 38 (3), 684-690, 2018 | 50 | 2018 |
| Combining Nakagami imaging and convolutional neural network for breast lesion classification M Byra, H Piotrzkowska-Wróblewska, K Dobruch-Sobczak, A Nowicki 2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017 | 47 | 2017 |
| Impact of ultrasound image reconstruction method on breast lesion classification with deep learning M Byra, T Sznajder, D Korzinek, H Piotrzkowska-Wroblewska, ... Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019 …, 2019 | 34* | 2019 |
| Liver fat assessment in multiview sonography using transfer learning with convolutional neural networks M Byra, A Han, AS Boehringer, YN Zhang, WD O'Brien Jr, JW Erdman Jr, ... Journal of Ultrasound in Medicine 41 (1), 175-184, 2022 | 33 | 2022 |
| Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks M Byra, P Jarosik, K Dobruch-Sobczak, Z Klimonda, ... Ultrasonics 121, 106682, 2022 | 23 | 2022 |
| Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method M Byra, G Styczynski, C Szmigielski, P Kalinowski, L Michalowski, ... 2020 IEEE International Ultrasonics Symposium (IUS), 1-4, 2020 | 23 | 2020 |
| Breast lesion classification based on ultrasonic radio-frequency signals using convolutional neural networks P Jarosik, Z Klimonda, M Lewandowski, M Byra Biocybernetics and Biomedical Engineering 40 (3), 977-986, 2020 | 22 | 2020 |
| Quantitative ultrasound and B-mode image texture features correlate with collagen and myelin content in human ulnar nerve fascicles M Byra, L Wan, JH Wong, J Du, SB Shah, MP Andre, EY Chang Ultrasound in medicine & biology 45 (7), 1830-1840, 2019 | 16 | 2019 |
| Automated cartilage segmentation and quantification using 3D ultrashort echo time (UTE) cones MR imaging with deep convolutional neural networks YP Xue, H Jang, M Byra, ZY Cai, M Wu, EY Chang, YJ Ma, J Du European radiology, 1-11, 2021 | 15 | 2021 |
| Temperature monitoring during focused ultrasound treatment by means of the homodyned K distribution M Byra, E Kruglenko, B Gambin, A Nowicki Acta Physica Polonica A 131 (6), 1525-1528, 2017 | 15 | 2017 |
| Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net M Byra, P Jarosik, K Dobruch-Sobczak, Z Klimonda, ... arXiv preprint arXiv:2001.10061, 2020 | 12 | 2020 |
Andrzej NowickiInstitute of Fundamental Technological ResearchVerified email at ippt.gov.pl
