Al-Antari MA - Search Results

1

BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification.

Chola C, Muaad AY, Bin Heyat MB, Benifa JVB, Naji WR, Hemachandran K, Mahmoud NF, Samee NA, Al-Antari MA, Kadah YM, Kim TS. Chola C, et al. Diagnostics (Basel). 2022 Nov 16;12(11):2815. doi: 10.3390/diagnostics12112815. Diagnostics (Basel). 2022. PMID: 36428875 Free PMC article.

2

Non-local means filter denoising for DEXA images.

Al-Antari MA, Al-Masni MA, Metwally M, Hussain D, Valarezo E, Rivera P, Gi G, Park JM, Kim TY, Park SJ, Shin JS, Han SM, Kim TS. Al-Antari MA, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:572-575. doi: 10.1109/EMBC.2017.8036889. Annu Int Conf IEEE Eng Med Biol Soc. 2017. PMID: 29059937

3

Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network.

Al-Masni MA, Al-Antari MA, Park JM, Gi G, Kim TY, Rivera P, Valarezo E, Han SM, Kim TS. Al-Masni MA, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1230-1233. doi: 10.1109/EMBC.2017.8037053. Annu Int Conf IEEE Eng Med Biol Soc. 2017. PMID: 29060098

4

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.

Al-Masni MA, Al-Antari MA, Park JM, Gi G, Kim TY, Rivera P, Valarezo E, Choi MT, Han SM, Kim TS. Al-Masni MA, et al. Comput Methods Programs Biomed. 2018 Apr;157:85-94. doi: 10.1016/j.cmpb.2018.01.017. Epub 2018 Jan 31. Comput Methods Programs Biomed. 2018. PMID: 29477437

5

Denoising images of dual energy X-ray absorptiometry using non-local means filters.

Al-Antari MA, Al-Masni MA, Metwally MK, Hussain D, Park SJ, Shin JS, Han SM, Kim TS. Al-Antari MA, et al. J Xray Sci Technol. 2018;26(3):395-412. doi: 10.3233/XST-17341. J Xray Sci Technol. 2018. PMID: 29562584

6

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.

Al-Masni MA, Al-Antari MA, Choi MT, Han SM, Kim TS. Al-Masni MA, et al. Comput Methods Programs Biomed. 2018 Aug;162:221-231. doi: 10.1016/j.cmpb.2018.05.027. Epub 2018 May 19. Comput Methods Programs Biomed. 2018. PMID: 29903489

7

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.

Al-Antari MA, Al-Masni MA, Choi MT, Han SM, Kim TS. Al-Antari MA, et al. Int J Med Inform. 2018 Sep;117:44-54. doi: 10.1016/j.ijmedinf.2018.06.003. Epub 2018 Jun 18. Int J Med Inform. 2018. PMID: 30032964

8

Femur segmentation in DXA imaging using a machine learning decision tree.

Hussain D, Al-Antari MA, Al-Masni MA, Han SM, Kim TS. Hussain D, et al. J Xray Sci Technol. 2018;26(5):727-746. doi: 10.3233/XST-180399. J Xray Sci Technol. 2018. PMID: 30056442

9

Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.

Al-Antari MA, Al-Masni MA, Kim TS. Al-Antari MA, et al. Adv Exp Med Biol. 2020;1213:59-72. doi: 10.1007/978-3-030-33128-3_4. Adv Exp Med Biol. 2020. PMID: 32030663 Review.

10

Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.

Al-Antari MA, Han SM, Kim TS. Al-Antari MA, et al. Comput Methods Programs Biomed. 2020 Nov;196:105584. doi: 10.1016/j.cmpb.2020.105584. Epub 2020 Jun 4. Comput Methods Programs Biomed. 2020. PMID: 32554139

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