Byra M - Search Results

1

Assessment of an in vitro model of rotator cuff degeneration using quantitative magnetic resonance and ultrasound imaging with biochemical and histological correlation.

Guo T, Ma YJ, High RA, Tang Q, Wong JH, Byra M, Searleman AC, To SC, Wan L, Le N, Du J, Chang EY. Guo T, et al. Among authors: byra m. Eur J Radiol. 2019 Dec;121:108706. doi: 10.1016/j.ejrad.2019.108706. Epub 2019 Oct 17. Eur J Radiol. 2019. PMID: 31655315 Free PMC article.

2

Quantitative Ultrasound and B-Mode Image Texture Features Correlate with Collagen and Myelin Content in Human Ulnar Nerve Fascicles.

Byra M, Wan L, Wong JH, Du J, Shah SB, Andre MP, Chang EY. Byra M, et al. Ultrasound Med Biol. 2019 Jul;45(7):1830-1840. doi: 10.1016/j.ultrasmedbio.2019.02.019. Epub 2019 Apr 13. Ultrasound Med Biol. 2019. PMID: 30987909

3

Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U-Net with transfer learning.

Byra M, Wu M, Zhang X, Jang H, Ma YJ, Chang EY, Shah S, Du J. Byra M, et al. Magn Reson Med. 2020 Mar;83(3):1109-1122. doi: 10.1002/mrm.27969. Epub 2019 Sep 19. Magn Reson Med. 2020. PMID: 31535731 Free PMC article.

4

Assessing the Performance of Morphologic and Echogenic Features in Median Nerve Ultrasound for Carpal Tunnel Syndrome Diagnosis.

Byra M, Hentzen E, Du J, Andre M, Chang EY, Shah S. Byra M, et al. J Ultrasound Med. 2020 Jun;39(6):1165-1174. doi: 10.1002/jum.15201. Epub 2019 Dec 23. J Ultrasound Med. 2020. PMID: 31868248

5

Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks.

Han A, Byra M, Heba E, Andre MP, Erdman JW Jr, Loomba R, Sirlin CB, O'Brien WD Jr. Han A, et al. Among authors: byra m. Radiology. 2020 May;295(2):342-350. doi: 10.1148/radiol.2020191160. Epub 2020 Feb 25. Radiology. 2020. PMID: 32096706 Free PMC article.

6

Automated cartilage segmentation and quantification using 3D ultrashort echo time (UTE) cones MR imaging with deep convolutional neural networks.

Xue YP, Jang H, Byra M, Cai ZY, Wu M, Chang EY, Ma YJ, Du J. Xue YP, et al. Among authors: byra m. Eur Radiol. 2021 Oct;31(10):7653-7663. doi: 10.1007/s00330-021-07853-6. Epub 2021 Mar 30. Eur Radiol. 2021. PMID: 33783571 Free PMC article.

7

Classification of breast lesions using segmented quantitative ultrasound maps of homodyned K distribution parameters.

Byra M, Nowicki A, Wróblewska-Piotrzkowska H, Dobruch-Sobczak K. Byra M, et al. Med Phys. 2016 Oct;43(10):5561. doi: 10.1118/1.4962928. Med Phys. 2016. PMID: 27782690

8

Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.

Byra M, Styczynski G, Szmigielski C, Kalinowski P, Michałowski Ł, Paluszkiewicz R, Ziarkiewicz-Wróblewska B, Zieniewicz K, Sobieraj P, Nowicki A. Byra M, et al. Int J Comput Assist Radiol Surg. 2018 Dec;13(12):1895-1903. doi: 10.1007/s11548-018-1843-2. Epub 2018 Aug 9. Int J Comput Assist Radiol Surg. 2018. PMID: 30094778 Free PMC article.

9

Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signals.

Byra M, Dobruch-Sobczak K, Piotrzkowska-Wroblewska H, Klimonda Z, Litniewski J. Byra M, et al. Phys Med Biol. 2022 Sep 9;67(18). doi: 10.1088/1361-6560/ac8c82. Phys Med Biol. 2022. PMID: 36001984

10

Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment.

Byra M, Klimonda Z, Kruglenko E, Gambin B. Byra M, et al. Ultrasonics. 2022 May;122:106689. doi: 10.1016/j.ultras.2022.106689. Epub 2022 Feb 1. Ultrasonics. 2022. PMID: 35134653

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