153 related articles for article (PubMed ID: 33661195)
1. Feasibility of Deep Learning-Guided Attenuation and Scatter Correction of Whole-Body 68Ga-PSMA PET Studies in the Image Domain.
Mostafapour S; Gholamiankhah F; Dadgar H; Arabi H; Zaidi H
Clin Nucl Med; 2021 Aug; 46(8):609-615. PubMed ID: 33661195
[TBL] [Abstract][Full Text] [Related]
2. Deep-JASC: joint attenuation and scatter correction in whole-body
Shiri I; Arabi H; Geramifar P; Hajianfar G; Ghafarian P; Rahmim A; Ay MR; Zaidi H
Eur J Nucl Med Mol Imaging; 2020 Oct; 47(11):2533-2548. PubMed ID: 32415552
[TBL] [Abstract][Full Text] [Related]
3. Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN.
Ma KC; Mena E; Lindenberg L; Lay NS; Eclarinal P; Citrin DE; Pinto PA; Wood BJ; Dahut WL; Gulley JL; Madan RA; Choyke PL; Turkbey IB; Harmon SA
Oncotarget; 2024 May; 15():288-300. PubMed ID: 38712741
[TBL] [Abstract][Full Text] [Related]
4. Deep learning-guided joint attenuation and scatter correction in multitracer neuroimaging studies.
Arabi H; Bortolin K; Ginovart N; Garibotto V; Zaidi H
Hum Brain Mapp; 2020 Sep; 41(13):3667-3679. PubMed ID: 32436261
[TBL] [Abstract][Full Text] [Related]
5. Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks.
Zaker N; Haddad K; Faghihi R; Arabi H; Zaidi H
Eur J Nucl Med Mol Imaging; 2022 Oct; 49(12):4048-4063. PubMed ID: 35716176
[TBL] [Abstract][Full Text] [Related]
6. Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data.
Arabi H; Zaidi H
Med Image Anal; 2020 Aug; 64():101718. PubMed ID: 32492585
[TBL] [Abstract][Full Text] [Related]
7. Preclinical evaluation of MR attenuation correction versus CT attenuation correction on a sequential whole-body MR/PET scanner.
Bini J; Izquierdo-Garcia D; Mateo J; Machac J; Narula J; Fuster V; Fayad ZA
Invest Radiol; 2013 May; 48(5):313-22. PubMed ID: 23296082
[TBL] [Abstract][Full Text] [Related]
8. Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.
Nomura Y; Xu Q; Shirato H; Shimizu S; Xing L
Med Phys; 2019 Jul; 46(7):3142-3155. PubMed ID: 31077390
[TBL] [Abstract][Full Text] [Related]
9. Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC).
Shiri I; Ghafarian P; Geramifar P; Leung KH; Ghelichoghli M; Oveisi M; Rahmim A; Ay MR
Eur Radiol; 2019 Dec; 29(12):6867-6879. PubMed ID: 31227879
[TBL] [Abstract][Full Text] [Related]
10. Deep learning-based metal artefact reduction in PET/CT imaging.
Arabi H; Zaidi H
Eur Radiol; 2021 Aug; 31(8):6384-6396. PubMed ID: 33569626
[TBL] [Abstract][Full Text] [Related]
11. Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI.
Arabi H; Zeng G; Zheng G; Zaidi H
Eur J Nucl Med Mol Imaging; 2019 Dec; 46(13):2746-2759. PubMed ID: 31264170
[TBL] [Abstract][Full Text] [Related]
12. Independent brain
Armanious K; Küstner T; Reimold M; Nikolaou K; La Fougère C; Yang B; Gatidis S
Hell J Nucl Med; 2019; 22(3):179-186. PubMed ID: 31587027
[TBL] [Abstract][Full Text] [Related]
13. Clinical Evaluation of
Wangerin KA; Baratto L; Khalighi MM; Hope TA; Gulaka PK; Deller TW; Iagaru AH
AJR Am J Roentgenol; 2018 Sep; 211(3):655-660. PubMed ID: 29873506
[TBL] [Abstract][Full Text] [Related]
14. Assessment of deep learning-based PET attenuation correction frameworks in the sinogram domain.
Arabi H; Zaidi H
Phys Med Biol; 2021 Jul; 66(14):. PubMed ID: 34167094
[TBL] [Abstract][Full Text] [Related]
15. Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners.
Sari H; Teimoorisichani M; Mingels C; Alberts I; Panin V; Bharkhada D; Xue S; Prenosil G; Shi K; Conti M; Rominger A
Eur J Nucl Med Mol Imaging; 2022 Nov; 49(13):4490-4502. PubMed ID: 35852557
[TBL] [Abstract][Full Text] [Related]
16. Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain
Yang J; Park D; Gullberg GT; Seo Y
Phys Med Biol; 2019 Apr; 64(7):075019. PubMed ID: 30743246
[TBL] [Abstract][Full Text] [Related]
17. Eliminating CT radiation for clinical PET examination using deep learning.
Li Q; Zhu X; Zou S; Zhang N; Liu X; Yang Y; Zheng H; Liang D; Hu Z
Eur J Radiol; 2022 Sep; 154():110422. PubMed ID: 35767933
[TBL] [Abstract][Full Text] [Related]
18. Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning.
Huang Z; Wu Y; Fu F; Meng N; Gu F; Wu Q; Zhou Y; Yang Y; Liu X; Zheng H; Liang D; Wang M; Hu Z
Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2482-2492. PubMed ID: 35312030
[TBL] [Abstract][Full Text] [Related]
19. CT-less Direct Correction of Attenuation and Scatter in the Image Space Using Deep Learning for Whole-Body FDG PET: Potential Benefits and Pitfalls.
Yang J; Sohn JH; Behr SC; Gullberg GT; Seo Y
Radiol Artif Intell; 2021 Mar; 3(2):e200137. PubMed ID: 33937860
[TBL] [Abstract][Full Text] [Related]
20. Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.
Torrado-Carvajal A; Vera-Olmos J; Izquierdo-Garcia D; Catalano OA; Morales MA; Margolin J; Soricelli A; Salvatore M; Malpica N; Catana C
J Nucl Med; 2019 Mar; 60(3):429-435. PubMed ID: 30166357
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
