641 related articles for article (PubMed ID: 38438821)
1. Shallow and deep learning classifiers in medical image analysis.
Prinzi F; Currieri T; Gaglio S; Vitabile S
Eur Radiol Exp; 2024 Mar; 8(1):26. PubMed ID: 38438821
[TBL] [Abstract][Full Text] [Related]
2. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
Papadimitroulas P; Brocki L; Christopher Chung N; Marchadour W; Vermet F; Gaubert L; Eleftheriadis V; Plachouris D; Visvikis D; Kagadis GC; Hatt M
Phys Med; 2021 Mar; 83():108-121. PubMed ID: 33765601
[TBL] [Abstract][Full Text] [Related]
3. Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology.
Hudson IL
Methods Mol Biol; 2021; 2190():167-184. PubMed ID: 32804365
[TBL] [Abstract][Full Text] [Related]
4. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.
Chen H; Cohen E; Wilson D; Alfred M
JMIR Hum Factors; 2024 Jan; 11():e53378. PubMed ID: 38271086
[TBL] [Abstract][Full Text] [Related]
5. AI applications to medical images: From machine learning to deep learning.
Castiglioni I; Rundo L; Codari M; Di Leo G; Salvatore C; Interlenghi M; Gallivanone F; Cozzi A; D'Amico NC; Sardanelli F
Phys Med; 2021 Mar; 83():9-24. PubMed ID: 33662856
[TBL] [Abstract][Full Text] [Related]
6. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.
El-Khatib H; Popescu D; Ichim L
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245258
[TBL] [Abstract][Full Text] [Related]
8. Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.
Buchlak QD; Esmaili N; Leveque JC; Bennett C; Farrokhi F; Piccardi M
J Clin Neurosci; 2021 Jul; 89():177-198. PubMed ID: 34119265
[TBL] [Abstract][Full Text] [Related]
9. Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.
Weng WH; Wagholikar KB; McCray AT; Szolovits P; Chueh HC
BMC Med Inform Decis Mak; 2017 Dec; 17(1):155. PubMed ID: 29191207
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.
Currie G; Hawk KE; Rohren E; Vial A; Klein R
J Med Imaging Radiat Sci; 2019 Dec; 50(4):477-487. PubMed ID: 31601480
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
Gupta R; Srivastava D; Sahu M; Tiwari S; Ambasta RK; Kumar P
Mol Divers; 2021 Aug; 25(3):1315-1360. PubMed ID: 33844136
[TBL] [Abstract][Full Text] [Related]
12. [Artificial intelligence in image analysis-fundamentals and new developments].
Pouly M; Koller T; Gottfrois P; Lionetti S
Hautarzt; 2020 Sep; 71(9):660-668. PubMed ID: 32789670
[TBL] [Abstract][Full Text] [Related]
13. Development of an explainable artificial intelligence model for Asian vascular wound images.
Lo ZJ; Mak MHW; Liang S; Chan YM; Goh CC; Lai T; Tan A; Thng P; Rodriguez J; Weyde T; Smit S
Int Wound J; 2024 Apr; 21(4):e14565. PubMed ID: 38146127
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Explainability and causability for artificial intelligence-supported medical image analysis in the context of the European In Vitro Diagnostic Regulation.
Müller H; Holzinger A; Plass M; Brcic L; Stumptner C; Zatloukal K
N Biotechnol; 2022 Sep; 70():67-72. PubMed ID: 35526802
[TBL] [Abstract][Full Text] [Related]
16. Architectures and accuracy of artificial neural network for disease classification from omics data.
Yu H; Samuels DC; Zhao YY; Guo Y
BMC Genomics; 2019 Mar; 20(1):167. PubMed ID: 30832569
[TBL] [Abstract][Full Text] [Related]
17. Explainable AI: Machine Learning Interpretation in Blackcurrant Powders.
Przybył K
Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38794052
[TBL] [Abstract][Full Text] [Related]
18. Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.
Devi S; Kaul Ghanekar R; Pande JA; Dumbre D; Chavan R; Gupta H
Asian Pac J Cancer Prev; 2024 Mar; 25(3):1077-1085. PubMed ID: 38546090
[TBL] [Abstract][Full Text] [Related]
19. Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.
Cascella M; Schiavo D; Cuomo A; Ottaiano A; Perri F; Patrone R; Migliarelli S; Bignami EG; Vittori A; Cutugno F
Pain Res Manag; 2023; 2023():6018736. PubMed ID: 37416623
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning Principles for Radiology Investigators.
Borstelmann SM
Acad Radiol; 2020 Jan; 27(1):13-25. PubMed ID: 31818379
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]