Mazurowski MA - Search Results

1

Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series Labels.

Macdonald JA, Zhu Z, Konkel B, Mazurowski MA, Wiggins WF, Bashir MR. Macdonald JA, et al. Among authors: mazurowski ma. Radiol Artif Intell. 2023 Jul 26;5(5):e220275. doi: 10.1148/ryai.220275. eCollection 2023 Sep. Radiol Artif Intell. 2023. PMID: 37795141 Free PMC article.

2

Using the American College of Radiology Thyroid Imaging Reporting and Data System at the Point of Care: Sonographer Performance and Interobserver Variability.

Wildman-Tobriner B, Ahmed S, Erkanli A, Mazurowski MA, Hoang JK. Wildman-Tobriner B, et al. Among authors: mazurowski ma. Ultrasound Med Biol. 2020 Aug;46(8):1928-1933. doi: 10.1016/j.ultrasmedbio.2020.04.019. Epub 2020 Jun 2. Ultrasound Med Biol. 2020. PMID: 32507343

3

Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.

Hou R, Mazurowski MA, Grimm LJ, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Hou R, et al. Among authors: mazurowski ma. IEEE Trans Biomed Eng. 2020 Jun;67(6):1565-1572. doi: 10.1109/TBME.2019.2940195. Epub 2019 Sep 9. IEEE Trans Biomed Eng. 2020. PMID: 31502960 Free PMC article.

4

Anomaly Detection of Calcifications in Mammography Based on 11,000 Negative Cases.

Hou R, Peng Y, Grimm LJ, Ren Y, Mazurowski MA, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Hou R, et al. Among authors: mazurowski ma. IEEE Trans Biomed Eng. 2022 May;69(5):1639-1650. doi: 10.1109/TBME.2021.3126281. Epub 2022 Apr 21. IEEE Trans Biomed Eng. 2022. PMID: 34788216

5

Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance.

Mazurowski MA, Habas PA, Zurada JM, Lo JY, Baker JA, Tourassi GD. Mazurowski MA, et al. Neural Netw. 2008 Mar-Apr;21(2-3):427-36. doi: 10.1016/j.neunet.2007.12.031. Epub 2007 Dec 27. Neural Netw. 2008. PMID: 18272329 Free PMC article.

6

Structured reporting of CT enterography for inflammatory bowel disease: effect on key feature reporting, accuracy across training levels, and subjective assessment of disease by referring physicians.

Wildman-Tobriner B, Allen BC, Bashir MR, Camp M, Miller C, Fiorillo LE, Cubre A, Javadi S, Bibbey AD, Ehieli WL, McGreal N, Quevedo R, Thacker JK, Mazurowski M, Jaffe TA. Wildman-Tobriner B, et al. Abdom Radiol (NY). 2017 Sep;42(9):2243-2250. doi: 10.1007/s00261-017-1136-1. Abdom Radiol (NY). 2017. PMID: 28393301

7

Comparison of Visualization Rates of LI-RADS Version 2014 Major Features With IV Gadobenate Dimeglumine or Gadoxetate Disodium in Patients at Risk for Hepatocellular Carcinoma.

Allen BC, Ho LM, Jaffe TA, Miller CM, Mazurowski MA, Bashir MR. Allen BC, et al. Among authors: mazurowski ma. AJR Am J Roentgenol. 2018 Jun;210(6):1266-1272. doi: 10.2214/AJR.17.18981. Epub 2018 Apr 9. AJR Am J Roentgenol. 2018. PMID: 29629800

8

Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.

Zhang J, Saha A, Zhu Z, Mazurowski MA. Zhang J, et al. Among authors: mazurowski ma. IEEE Trans Med Imaging. 2019 Feb;38(2):435-447. doi: 10.1109/TMI.2018.2865671. Epub 2018 Aug 16. IEEE Trans Med Imaging. 2019. PMID: 30130181

9

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.

Mazurowski MA, Buda M, Saha A, Bashir MR. Mazurowski MA, et al. J Magn Reson Imaging. 2019 Apr;49(4):939-954. doi: 10.1002/jmri.26534. Epub 2018 Dec 21. J Magn Reson Imaging. 2019. PMID: 30575178 Free PMC article. Review.

10

Deep learning for identifying radiogenomic associations in breast cancer.

Zhu Z, Albadawy E, Saha A, Zhang J, Harowicz MR, Mazurowski MA. Zhu Z, et al. Among authors: mazurowski ma. Comput Biol Med. 2019 Jun;109:85-90. doi: 10.1016/j.compbiomed.2019.04.018. Epub 2019 Apr 25. Comput Biol Med. 2019. PMID: 31048129 Free PMC article. Clinical Trial.

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