518 related articles for article (PubMed ID: 36362190)
1. PET-Derived Radiomics and Artificial Intelligence in Breast Cancer: A Systematic Review.
Urso L; Manco L; Castello A; Evangelista L; Guidi G; Castellani M; Florimonte L; Cittanti C; Turra A; Panareo S
Int J Mol Sci; 2022 Nov; 23(21):. PubMed ID: 36362190
[TBL] [Abstract][Full Text] [Related]
2. Positron Emission Tomography-Derived Radiomics and Artificial Intelligence in Multiple Myeloma: State-of-the-Art.
Manco L; Albano D; Urso L; Arnaboldi M; Castellani M; Florimonte L; Guidi G; Turra A; Castello A; Panareo S
J Clin Med; 2023 Dec; 12(24):. PubMed ID: 38137738
[TBL] [Abstract][Full Text] [Related]
3. Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications.
Alongi P; Rovera G; Stracuzzi F; Popescu CE; Minutoli F; Arnone G; Baldari S; Deandreis D; Caobelli F
Curr Med Imaging; 2023; 19(8):832-843. PubMed ID: 36703586
[TBL] [Abstract][Full Text] [Related]
4. Current Role and Future Prospects of Positron Emission Tomography (PET)/Computed Tomography (CT) in the Management of Breast Cancer.
Robson N; Thekkinkattil DK
Medicina (Kaunas); 2024 Feb; 60(2):. PubMed ID: 38399608
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence applications for oncological positron emission tomography imaging.
Li W; Liu H; Cheng F; Li Y; Li S; Yan J
Eur J Radiol; 2021 Jan; 134():109448. PubMed ID: 33307463
[TBL] [Abstract][Full Text] [Related]
6. Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects.
Alabi RO; Elmusrati M; Leivo I; Almangush A; Mäkitie AA
Int J Med Inform; 2024 Aug; 188():105464. PubMed ID: 38728812
[TBL] [Abstract][Full Text] [Related]
7. Rapid review: radiomics and breast cancer.
Valdora F; Houssami N; Rossi F; Calabrese M; Tagliafico AS
Breast Cancer Res Treat; 2018 Jun; 169(2):217-229. PubMed ID: 29396665
[TBL] [Abstract][Full Text] [Related]
8. AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging:: Towards Radiophenomics.
Yousefirizi F; Pierre Decazes ; Amyar A; Ruan S; Saboury B; Rahmim A
PET Clin; 2022 Jan; 17(1):183-212. PubMed ID: 34809866
[TBL] [Abstract][Full Text] [Related]
9. A systematic review of positron emission tomography (PET) and positron emission tomography/computed tomography (PET/CT) for the diagnosis of breast cancer recurrence.
Pennant M; Takwoingi Y; Pennant L; Davenport C; Fry-Smith A; Eisinga A; Andronis L; Arvanitis T; Deeks J; Hyde C
Health Technol Assess; 2010 Oct; 14(50):1-103. PubMed ID: 21044553
[TBL] [Abstract][Full Text] [Related]
10. Radiotherapy modification based on artificial intelligence and radiomics applied to (
Lucia F; Lovinfosse P; Schick U; Le Pennec R; Pradier O; Salaun PY; Hustinx R; Bourbonne V
Cancer Radiother; 2023 Sep; 27(6-7):542-547. PubMed ID: 37481344
[TBL] [Abstract][Full Text] [Related]
11. MRI-Based Radiomics and Deep Learning in Biological Characteristics and Prognosis of Hepatocellular Carcinoma: Opportunities and Challenges.
Xia T; Zhao B; Li B; Lei Y; Song Y; Wang Y; Tang T; Ju S
J Magn Reson Imaging; 2024 Mar; 59(3):767-783. PubMed ID: 37647155
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
Bedrikovetski S; Dudi-Venkata NN; Kroon HM; Seow W; Vather R; Carneiro G; Moore JW; Sammour T
BMC Cancer; 2021 Sep; 21(1):1058. PubMed ID: 34565338
[TBL] [Abstract][Full Text] [Related]
13. The role of artificial intelligence based on PET/CT radiomics in NSCLC: Disease management, opportunities, and challenges.
Hu Q; Li K; Yang C; Wang Y; Huang R; Gu M; Xiao Y; Huang Y; Chen L
Front Oncol; 2023; 13():1133164. PubMed ID: 36959810
[TBL] [Abstract][Full Text] [Related]
14. A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts Tumor Immune Profiles in Non-Small Cell Lung Cancer: A Retrospective Multicohort Study.
Tong H; Sun J; Fang J; Zhang M; Liu H; Xia R; Zhou W; Liu K; Chen X
Front Immunol; 2022; 13():859323. PubMed ID: 35572597
[TBL] [Abstract][Full Text] [Related]
15. [
Manafi-Farid R; Askari E; Shiri I; Pirich C; Asadi M; Khateri M; Zaidi H; Beheshti M
Semin Nucl Med; 2022 Nov; 52(6):759-780. PubMed ID: 35717201
[TBL] [Abstract][Full Text] [Related]
16. Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients.
Alongi P; Stefano A; Comelli A; Laudicella R; Scalisi S; Arnone G; Barone S; Spada M; Purpura P; Bartolotta TV; Midiri M; Lagalla R; Russo G
Eur Radiol; 2021 Jul; 31(7):4595-4605. PubMed ID: 33443602
[TBL] [Abstract][Full Text] [Related]
17. Performance of radiomics-based artificial intelligence systems in the diagnosis and prediction of treatment response and survival in esophageal cancer: a systematic review and meta-analysis of diagnostic accuracy.
Menon N; Guidozzi N; Chidambaram S; Markar SR
Dis Esophagus; 2023 May; 36(6):. PubMed ID: 37236811
[TBL] [Abstract][Full Text] [Related]
18. Radiomics in PET/CT: Current Status and Future AI-Based Evolutions.
Hatt M; Cheze Le Rest C; Antonorsi N; Tixier F; Tankyevych O; Jaouen V; Lucia F; Bourbonne V; Schick U; Badic B; Visvikis D
Semin Nucl Med; 2021 Mar; 51(2):126-133. PubMed ID: 33509369
[TBL] [Abstract][Full Text] [Related]
19. AI-Enhanced PET and MR Imaging for Patients with Breast Cancer.
Romeo V; Moy L; Pinker K
PET Clin; 2023 Oct; 18(4):567-575. PubMed ID: 37336693
[TBL] [Abstract][Full Text] [Related]
20. Molecular subtype classification of breast cancer using established radiomic signature models based on
Liu J; Bian H; Zhang Y; Gao Y; Yin G; Wang Z; Li X; Ma W; Xu W
Front Biosci (Landmark Ed); 2021 Aug; 26(9):475-484. PubMed ID: 34590460
[No Abstract] [Full Text] [Related]
[Next] [New Search]
