Kim Y - Search Results

1

Deep Learning-Based Automated Imaging Classification of ADPKD.

Kim Y, Bu S, Tao C, Bae KT; HALT Polycystic Kidney Disease Study Group. Kim Y, et al. Kidney Int Rep. 2024 Apr 4;9(6):1802-1809. doi: 10.1016/j.ekir.2024.04.002. eCollection 2024 Jun. Kidney Int Rep. 2024. PMID: 38899202 Free PMC article.

2

A Deep Learning Approach for Automated Segmentation of Kidneys and Exophytic Cysts in Individuals with Autosomal Dominant Polycystic Kidney Disease.

Kim Y, Tao C, Kim H, Oh GY, Ko J, Bae KT. Kim Y, et al. Among authors: kim h. J Am Soc Nephrol. 2022 Aug;33(8):1581-1589. doi: 10.1681/ASN.2021111400. Epub 2022 Jun 29. J Am Soc Nephrol. 2022. PMID: 35768178 Free PMC article.

3

Automated segmentation of liver and liver cysts from bounded abdominal MR images in patients with autosomal dominant polycystic kidney disease.

Kim Y, Bae SK, Cheng T, Tao C, Ge Y, Chapman AB, Torres VE, Yu AS, Mrug M, Bennett WM, Flessner MF, Landsittel DP, Bae KT. Kim Y, et al. Phys Med Biol. 2016 Nov 21;61(22):7864-7880. doi: 10.1088/0031-9155/61/22/7864. Epub 2016 Oct 25. Phys Med Biol. 2016. PMID: 27779124 Free PMC article.

4

Computer-aided diagnosis program for classifying the risk of hepatocellular carcinoma on MR images following liver imaging reporting and data system (LI-RADS).

Kim Y, Furlan A, Borhani AA, Bae KT. Kim Y, et al. J Magn Reson Imaging. 2018 Mar;47(3):710-722. doi: 10.1002/jmri.25772. Epub 2017 May 26. J Magn Reson Imaging. 2018. PMID: 28556283

5

Automated Segmentation of Kidneys from MR Images in Patients with Autosomal Dominant Polycystic Kidney Disease.

Kim Y, Ge Y, Tao C, Zhu J, Chapman AB, Torres VE, Yu AS, Mrug M, Bennett WM, Flessner MF, Landsittel DP, Bae KT; Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP). Kim Y, et al. Clin J Am Soc Nephrol. 2016 Apr 7;11(4):576-84. doi: 10.2215/CJN.08300815. Epub 2016 Jan 21. Clin J Am Soc Nephrol. 2016. PMID: 26797708 Free PMC article.

6

Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation.

Lee J, Kim Y, Kim JH, Park KH. Lee J, et al. Among authors: kim y, kim jh. J Glaucoma. 2019 Mar;28(3):258-264. doi: 10.1097/IJG.0000000000001187. J Glaucoma. 2019. PMID: 30676415

7

A population-based tissue probability map-driven level set method for fully automated mammographic density estimations.

Kim Y, Hong BW, Kim SJ, Kim JH. Kim Y, et al. Among authors: kim sj, kim jh. Med Phys. 2014 Jul;41(7):071905. doi: 10.1118/1.4881525. Med Phys. 2014. PMID: 24989383

8

Reliability of Computer-Assisted Breast Density Estimation: Comparison of Interactive Thresholding, Semiautomated, and Fully Automated Methods.

Kang E, Lee EJ, Jang M, Kim SM, Kim Y, Chun M, Tai JH, Han W, Kim SW, Kim JH. Kang E, et al. Among authors: kim sw, kim sm, kim y, kim jh. AJR Am J Roentgenol. 2016 Jul;207(1):126-34. doi: 10.2214/AJR.15.15469. Epub 2016 May 17. AJR Am J Roentgenol. 2016. PMID: 27187523

9

Hypofractionated Radiation Therapy for Progressive Heterotopic Ossification: The Relationship between Dose and Efficacy.

Lee DS, Kim Y, Cho HJ, Kim M, Whang IY. Lee DS, et al. Among authors: kim m, kim y. Int J Radiat Oncol Biol Phys. 2020 Apr 1;106(5):993-997. doi: 10.1016/j.ijrobp.2019.12.017. Epub 2020 Jan 23. Int J Radiat Oncol Biol Phys. 2020. PMID: 31983559

10

Longitudinal analysis of anxiety and sleep disorders in the Korean population with disabilities, from 2006 to 2017: Incidence, prevalence, and association with disability type and severity.

Lee HY, Yeob KE, Kim SY, Kim YY, Park JH. Lee HY, et al. Among authors: kim yy. J Affect Disord. 2024 Sep 20:S0165-0327(24)01564-7. doi: 10.1016/j.jad.2024.09.075. Online ahead of print. J Affect Disord. 2024. PMID: 39307430

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