308 related articles for article (PubMed ID: 33509370)
1. Artificial Intelligence for Optimization and Interpretation of PET/CT and PET/MR Images.
Zaharchuk G; Davidzon G
Semin Nucl Med; 2021 Mar; 51(2):134-142. PubMed ID: 33509370
[TBL] [Abstract][Full Text] [Related]
2. Integrated whole-body PET/MR hybrid imaging: clinical experience.
Quick HH; von Gall C; Zeilinger M; Wiesmüller M; Braun H; Ziegler S; Kuwert T; Uder M; Dörfler A; Kalender WA; Lell M
Invest Radiol; 2013 May; 48(5):280-9. PubMed ID: 23442775
[TBL] [Abstract][Full Text] [Related]
3. Artificial Intelligence-Based Data Corrections for Attenuation and Scatter in Position Emission Tomography and Single-Photon Emission Computed Tomography.
McMillan AB; Bradshaw TJ
PET Clin; 2021 Oct; 16(4):543-552. PubMed ID: 34364816
[TBL] [Abstract][Full Text] [Related]
4. Artificial Intelligence and Cardiac PET/Computed Tomography Imaging.
Miller RJH; Singh A; Dey D; Slomka P
PET Clin; 2022 Jan; 17(1):85-94. PubMed ID: 34809873
[TBL] [Abstract][Full Text] [Related]
5. Next generation research applications for hybrid PET/MR and PET/CT imaging using deep learning.
Zaharchuk G
Eur J Nucl Med Mol Imaging; 2019 Dec; 46(13):2700-2707. PubMed ID: 31254036
[TBL] [Abstract][Full Text] [Related]
6. More advantages in detecting bone and soft tissue metastases from prostate cancer using
Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
[TBL] [Abstract][Full Text] [Related]
7. Artificial Intelligence in PET: An Industry Perspective.
Sitek A; Ahn S; Asma E; Chandler A; Ihsani A; Prevrhal S; Rahmim A; Saboury B; Thielemans K
PET Clin; 2021 Oct; 16(4):483-492. PubMed ID: 34353746
[TBL] [Abstract][Full Text] [Related]
8. The promise of artificial intelligence and deep learning in PET and SPECT imaging.
Arabi H; AkhavanAllaf A; Sanaat A; Shiri I; Zaidi H
Phys Med; 2021 Mar; 83():122-137. PubMed ID: 33765602
[TBL] [Abstract][Full Text] [Related]
9. AI for PET image reconstruction.
Reader AJ; Pan B
Br J Radiol; 2023 Oct; 96(1150):20230292. PubMed ID: 37486607
[TBL] [Abstract][Full Text] [Related]
10. Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure.
Wang YJ; Baratto L; Hawk KE; Theruvath AJ; Pribnow A; Thakor AS; Gatidis S; Lu R; Gummidipundi SE; Garcia-Diaz J; Rubin D; Daldrup-Link HE
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2771-2781. PubMed ID: 33527176
[TBL] [Abstract][Full Text] [Related]
11. PET attenuation correction using synthetic CT from ultrashort echo-time MR imaging.
Roy S; Wang WT; Carass A; Prince JL; Butman JA; Pham DL
J Nucl Med; 2014 Dec; 55(12):2071-7. PubMed ID: 25413135
[TBL] [Abstract][Full Text] [Related]
12. Advances in PET/CT Technology: An Update.
Aide N; Lasnon C; Desmonts C; Armstrong IS; Walker MD; McGowan DR
Semin Nucl Med; 2022 May; 52(3):286-301. PubMed ID: 34823841
[TBL] [Abstract][Full Text] [Related]
13. Clinical application of AI-based PET images in oncological patients.
Dai J; Wang H; Xu Y; Chen X; Tian R
Semin Cancer Biol; 2023 Jun; 91():124-142. PubMed ID: 36906112
[TBL] [Abstract][Full Text] [Related]
14. A novel supervised learning method to generate CT images for attenuation correction in delayed pet scans.
Rao F; Yang B; Chen YW; Li J; Wang H; Ye H; Wang Y; Zhao K; Zhu W
Comput Methods Programs Biomed; 2020 Dec; 197():105764. PubMed ID: 33010702
[TBL] [Abstract][Full Text] [Related]
15. Artificial Intelligence for PET and SPECT Image Enhancement.
Balaji V; Song TA; Malekzadeh M; Heidari P; Dutta J
J Nucl Med; 2024 Jan; 65(1):4-12. PubMed ID: 37945384
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Quantitative PET in the 2020s: a roadmap.
Meikle SR; Sossi V; Roncali E; Cherry SR; Banati R; Mankoff D; Jones T; James M; Sutcliffe J; Ouyang J; Petibon Y; Ma C; El Fakhri G; Surti S; Karp JS; Badawi RD; Yamaya T; Akamatsu G; Schramm G; Rezaei A; Nuyts J; Fulton R; Kyme A; Lois C; Sari H; Price J; Boellaard R; Jeraj R; Bailey DL; Eslick E; Willowson KP; Dutta J
Phys Med Biol; 2021 Mar; 66(6):06RM01. PubMed ID: 33339012
[TBL] [Abstract][Full Text] [Related]
18. Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions.
Hellwig D; Hellwig NC; Boehner S; Fuchs T; Fischer R; Schmidt D
Nuklearmedizin; 2023 Dec; 62(6):334-342. PubMed ID: 37995706
[TBL] [Abstract][Full Text] [Related]
19. Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI.
Leynes AP; Yang J; Wiesinger F; Kaushik SS; Shanbhag DD; Seo Y; Hope TA; Larson PEZ
J Nucl Med; 2018 May; 59(5):852-858. PubMed ID: 29084824
[TBL] [Abstract][Full Text] [Related]
20. Effects of MR surface coils on PET quantification.
MacDonald LR; Kohlmyer S; Liu C; Lewellen TK; Kinahan PE
Med Phys; 2011 Jun; 38(6):2948-56. PubMed ID: 21815368
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]