296 related articles for article (PubMed ID: 34480771)
1. MRI-guided attenuation correction in torso PET/MRI: Assessment of segmentation-, atlas-, and deep learning-based approaches in the presence of outliers.
Arabi H; Zaidi H
Magn Reson Med; 2022 Feb; 87(2):686-701. PubMed ID: 34480771
[TBL] [Abstract][Full Text] [Related]
2. Truncation compensation and metallic dental implant artefact reduction in PET/MRI attenuation correction using deep learning-based object completion.
Arabi H; Zaidi H
Phys Med Biol; 2020 Sep; 65(19):195002. PubMed ID: 32976116
[TBL] [Abstract][Full Text] [Related]
3. Strategies for deep learning-based attenuation and scatter correction of brain
Jahangir R; Kamali-Asl A; Arabi H; Zaidi H
Med Phys; 2024 Feb; 51(2):870-880. PubMed ID: 38197492
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI.
Mehranian A; Arabi H; Zaidi H
Neuroimage; 2016 Apr; 130():123-133. PubMed ID: 26853602
[TBL] [Abstract][Full Text] [Related]
7. One registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI.
Arabi H; Zaidi H
Eur J Nucl Med Mol Imaging; 2016 Oct; 43(11):2021-35. PubMed ID: 27260522
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning.
Shiri I; Vafaei Sadr A; Akhavan A; Salimi Y; Sanaat A; Amini M; Razeghi B; Saberi A; Arabi H; Ferdowsi S; Voloshynovskiy S; Gündüz D; Rahmim A; Zaidi H
Eur J Nucl Med Mol Imaging; 2023 Mar; 50(4):1034-1050. PubMed ID: 36508026
[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. Magnetic resonance imaging-guided attenuation correction in whole-body PET/MRI using a sorted atlas approach.
Arabi H; Zaidi H
Med Image Anal; 2016 Jul; 31():1-15. PubMed ID: 26948109
[TBL] [Abstract][Full Text] [Related]
12. Clinical assessment of MR-guided 3-class and 4-class attenuation correction in PET/MR.
Arabi H; Rager O; Alem A; Varoquaux A; Becker M; Zaidi H
Mol Imaging Biol; 2015 Apr; 17(2):264-76. PubMed ID: 25096328
[TBL] [Abstract][Full Text] [Related]
13. Attenuation correction and truncation completion for breast PET/MR imaging using deep learning.
Li X; Johnson JM; Strigel RM; Bancroft LCH; Hurley SA; Estakhraji SIZ; Kumar M; Fowler AM; McMillan AB
Phys Med Biol; 2024 Feb; 69(4):. PubMed ID: 38252969
[No Abstract] [Full Text] [Related]
14. Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET-MRI-guided radiotherapy treatment planning.
Arabi H; Koutsouvelis N; Rouzaud M; Miralbell R; Zaidi H
Phys Med Biol; 2016 Sep; 61(17):6531-52. PubMed ID: 27524504
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies.
Presotto L; Bettinardi V; Bagnalasta M; Scifo P; Savi A; Vanoli EG; Fallanca F; Picchio M; Perani D; Gianolli L; De Bernardi E
J Digit Imaging; 2022 Jun; 35(3):432-445. PubMed ID: 35091873
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Comparison of atlas-based techniques for whole-body bone segmentation.
Arabi H; Zaidi H
Med Image Anal; 2017 Feb; 36():98-112. PubMed ID: 27871000
[TBL] [Abstract][Full Text] [Related]
18. Clinical Assessment of Emission- and Segmentation-Based MR-Guided Attenuation Correction in Whole-Body Time-of-Flight PET/MR Imaging.
Mehranian A; Zaidi H
J Nucl Med; 2015 Jun; 56(6):877-83. PubMed ID: 25858043
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of Deep Learning-Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images.
Sari H; Reaungamornrat J; Catalano OA; Vera-Olmos J; Izquierdo-Garcia D; Morales MA; Torrado-Carvajal A; Ng TSC; Malpica N; Kamen A; Catana C
J Nucl Med; 2022 Mar; 63(3):468-475. PubMed ID: 34301782
[TBL] [Abstract][Full Text] [Related]
20. MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation- and atlas-based methods.
Hofmann M; Bezrukov I; Mantlik F; Aschoff P; Steinke F; Beyer T; Pichler BJ; Schölkopf B
J Nucl Med; 2011 Sep; 52(9):1392-9. PubMed ID: 21828115
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
