211 related articles for article (PubMed ID: 29396120)
1. Deep Learning in Radiology: Does One Size Fit All?
Erickson BJ; Korfiatis P; Kline TL; Akkus Z; Philbrick K; Weston AD
J Am Coll Radiol; 2018 Mar; 15(3 Pt B):521-526. PubMed ID: 29396120
[TBL] [Abstract][Full Text] [Related]
2. 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
J Magn Reson Imaging; 2019 Apr; 49(4):939-954. PubMed ID: 30575178
[TBL] [Abstract][Full Text] [Related]
3. Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework.
Liu H; Zhang Z; Xu Y; Wang N; Huang Y; Yang Z; Jiang R; Chen H
J Med Internet Res; 2021 Jan; 23(1):e19689. PubMed ID: 33433395
[TBL] [Abstract][Full Text] [Related]
4. Update on the Use of Artificial Intelligence in Hepatobiliary MR Imaging.
Nakaura T; Kobayashi N; Yoshida N; Shiraishi K; Uetani H; Nagayama Y; Kidoh M; Hirai T
Magn Reson Med Sci; 2023 Apr; 22(2):147-156. PubMed ID: 36697024
[TBL] [Abstract][Full Text] [Related]
5. Deep learning: definition and perspectives for thoracic imaging.
Chassagnon G; Vakalopolou M; Paragios N; Revel MP
Eur Radiol; 2020 Apr; 30(4):2021-2030. PubMed ID: 31811431
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning: An Update for Radiologists.
Cheng PM; Montagnon E; Yamashita R; Pan I; Cadrin-Chênevert A; Perdigón Romero F; Chartrand G; Kadoury S; Tang A
Radiographics; 2021; 41(5):1427-1445. PubMed ID: 34469211
[TBL] [Abstract][Full Text] [Related]
7. Radiomics and deep learning in liver diseases.
Sung YS; Park B; Park HJ; Lee SS
J Gastroenterol Hepatol; 2021 Mar; 36(3):561-568. PubMed ID: 33709608
[TBL] [Abstract][Full Text] [Related]
8. Artificial intelligence in medical imaging.
Gore JC
Magn Reson Imaging; 2020 May; 68():A1-A4. PubMed ID: 31857130
[TBL] [Abstract][Full Text] [Related]
9. Technical and clinical overview of deep learning in radiology.
Ueda D; Shimazaki A; Miki Y
Jpn J Radiol; 2019 Jan; 37(1):15-33. PubMed ID: 30506448
[TBL] [Abstract][Full Text] [Related]
10. Review on Computer Aided Breast Cancer Detection and Diagnosis using Machine Learning Methods on Mammogram Image.
Kuttan GO; Elayidom MS
Curr Med Imaging; 2023; 19(12):1361-1371. PubMed ID: 36788681
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning in Neuroradiology.
Zaharchuk G; Gong E; Wintermark M; Rubin D; Langlotz CP
AJNR Am J Neuroradiol; 2018 Oct; 39(10):1776-1784. PubMed ID: 29419402
[TBL] [Abstract][Full Text] [Related]
12. Deep Learning in Radiology.
McBee MP; Awan OA; Colucci AT; Ghobadi CW; Kadom N; Kansagra AP; Tridandapani S; Auffermann WF
Acad Radiol; 2018 Nov; 25(11):1472-1480. PubMed ID: 29606338
[TBL] [Abstract][Full Text] [Related]
13. Object recognition in medical images via anatomy-guided deep learning.
Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
[TBL] [Abstract][Full Text] [Related]
14. AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Hadjiiski L; Cha K; Chan HP; Drukker K; Morra L; Näppi JJ; Sahiner B; Yoshida H; Chen Q; Deserno TM; Greenspan H; Huisman H; Huo Z; Mazurchuk R; Petrick N; Regge D; Samala R; Summers RM; Suzuki K; Tourassi G; Vergara D; Armato SG
Med Phys; 2023 Feb; 50(2):e1-e24. PubMed ID: 36565447
[TBL] [Abstract][Full Text] [Related]
15. Deep learning for dermatologists: Part II. Current applications.
Puri P; Comfere N; Drage LA; Shamim H; Bezalel SA; Pittelkow MR; Davis MDP; Wang M; Mangold AR; Tollefson MM; Lehman JS; Meves A; Yiannias JA; Otley CC; Carter RE; Sokumbi O; Hall MR; Bridges AG; Murphree DH
J Am Acad Dermatol; 2022 Dec; 87(6):1352-1360. PubMed ID: 32428608
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence in medical imaging of the liver.
Zhou LQ; Wang JY; Yu SY; Wu GG; Wei Q; Deng YB; Wu XL; Cui XW; Dietrich CF
World J Gastroenterol; 2019 Feb; 25(6):672-682. PubMed ID: 30783371
[TBL] [Abstract][Full Text] [Related]
17. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
[TBL] [Abstract][Full Text] [Related]
18. Deep learning models in medical image analysis.
Tsuneki M
J Oral Biosci; 2022 Sep; 64(3):312-320. PubMed ID: 35306172
[TBL] [Abstract][Full Text] [Related]
19. A primer for understanding radiology articles about machine learning and deep learning.
Nakaura T; Higaki T; Awai K; Ikeda O; Yamashita Y
Diagn Interv Imaging; 2020 Dec; 101(12):765-770. PubMed ID: 33121910
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning in Medical Imaging.
Giger ML
J Am Coll Radiol; 2018 Mar; 15(3 Pt B):512-520. PubMed ID: 29398494
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
