210 related articles for article (PubMed ID: 24734018)
1. Isotropic non-white matter partial volume effects in constrained spherical deconvolution.
Roine T; Jeurissen B; Perrone D; Aelterman J; Leemans A; Philips W; Sijbers J
Front Neuroinform; 2014; 8():28. PubMed ID: 24734018
[TBL] [Abstract][Full Text] [Related]
2. Informed constrained spherical deconvolution (iCSD).
Roine T; Jeurissen B; Perrone D; Aelterman J; Philips W; Leemans A; Sijbers J
Med Image Anal; 2015 Aug; 24(1):269-281. PubMed ID: 25660002
[TBL] [Abstract][Full Text] [Related]
3. Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data.
Jeurissen B; Tournier JD; Dhollander T; Connelly A; Sijbers J
Neuroimage; 2014 Dec; 103():411-426. PubMed ID: 25109526
[TBL] [Abstract][Full Text] [Related]
4. Spherical deconvolution with tissue-specific response functions and multi-shell diffusion MRI to estimate multiple fiber orientation distributions (mFODs).
De Luca A; Guo F; Froeling M; Leemans A
Neuroimage; 2020 Nov; 222():117206. PubMed ID: 32745681
[TBL] [Abstract][Full Text] [Related]
5. Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data.
Guo F; Leemans A; Viergever MA; Dell'Acqua F; De Luca A
Neuroimage; 2020 Sep; 218():116948. PubMed ID: 32428705
[TBL] [Abstract][Full Text] [Related]
6. Fiber estimation and tractography in diffusion MRI: development of simulated brain images and comparison of multi-fiber analysis methods at clinical b-values.
Wilkins B; Lee N; Gajawelli N; Law M; Leporé N
Neuroimage; 2015 Apr; 109():341-56. PubMed ID: 25555998
[TBL] [Abstract][Full Text] [Related]
7. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.
Jeurissen B; Leemans A; Tournier JD; Jones DK; Sijbers J
Hum Brain Mapp; 2013 Nov; 34(11):2747-66. PubMed ID: 22611035
[TBL] [Abstract][Full Text] [Related]
8. Connectome analysis with diffusion MRI in idiopathic Parkinson's disease: Evaluation using multi-shell, multi-tissue, constrained spherical deconvolution.
Kamagata K; Zalesky A; Hatano T; Di Biase MA; El Samad O; Saiki S; Shimoji K; Kumamaru KK; Kamiya K; Hori M; Hattori N; Aoki S; Pantelis C
Neuroimage Clin; 2018; 17():518-529. PubMed ID: 29201640
[TBL] [Abstract][Full Text] [Related]
9. Investigating Tissue-Specific Abnormalities in Alzheimer's Disease with Multi-Shell Diffusion MRI.
Giraldo DL; Smith RE; Struyfs H; Niemantsverdriet E; De Roeck E; Bjerke M; Engelborghs S; Romero E; Sijbers J; Jeurissen B
J Alzheimers Dis; 2022; 90(4):1771-1791. PubMed ID: 36336929
[TBL] [Abstract][Full Text] [Related]
10. White Matter Tissue Quantification at Low
Calamuneri A; Arrigo A; Mormina E; Milardi D; Cacciola A; Chillemi G; Marino S; Gaeta M; Quartarone A
Front Neurol; 2018; 9():716. PubMed ID: 30210438
[TBL] [Abstract][Full Text] [Related]
11. Comparing a diffusion tensor and non-tensor approach to white matter fiber tractography in chronic stroke.
Auriat AM; Borich MR; Snow NJ; Wadden KP; Boyd LA
Neuroimage Clin; 2015; 7():771-81. PubMed ID: 25844329
[TBL] [Abstract][Full Text] [Related]
12. The effect of gradient nonlinearities on fiber orientation estimates from spherical deconvolution of diffusion magnetic resonance imaging data.
Guo F; de Luca A; Parker G; Jones DK; Viergever MA; Leemans A; Tax CMW
Hum Brain Mapp; 2021 Feb; 42(2):367-383. PubMed ID: 33035372
[TBL] [Abstract][Full Text] [Related]
13. Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution.
Jeurissen B; Leemans A; Jones DK; Tournier JD; Sijbers J
Hum Brain Mapp; 2011 Mar; 32(3):461-79. PubMed ID: 21319270
[TBL] [Abstract][Full Text] [Related]
14. Histological validation of diffusion MRI fiber orientation distributions and dispersion.
Schilling KG; Janve V; Gao Y; Stepniewska I; Landman BA; Anderson AW
Neuroimage; 2018 Jan; 165():200-221. PubMed ID: 29074279
[TBL] [Abstract][Full Text] [Related]
15. Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver.
Jha RR; Kumar BVR; Pathak SK; Schneider W; Bhavsar A; Nigam A
Comput Methods Programs Biomed; 2023 Mar; 230():107339. PubMed ID: 36682110
[TBL] [Abstract][Full Text] [Related]
16. Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor-valued diffusion MRI.
Karan P; Reymbaut A; Gilbert G; Descoteaux M
Med Image Anal; 2022 Jul; 79():102476. PubMed ID: 35569180
[TBL] [Abstract][Full Text] [Related]
17. Improvement in White Matter Tract Reconstruction with Constrained Spherical Deconvolution and Track Density Mapping in Low Angular Resolution Data: A Pediatric Study and Literature Review.
Toselli B; Tortora D; Severino M; Arnulfo G; Canessa A; Morana G; Rossi A; Fato MM
Front Pediatr; 2017; 5():182. PubMed ID: 28913326
[TBL] [Abstract][Full Text] [Related]
18. A localized Richardson-Lucy algorithm for fiber orientation estimation in high angular resolution diffusion imaging.
Liu X; Yuan Z; Guo Z; Xu D
Med Phys; 2015 May; 42(5):2524-39. PubMed ID: 25979045
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI.
Nath V; Pathak SK; Schilling KG; Schneider W; Landman BA
Proc SPIE Int Soc Opt Eng; 2020 Feb; 11313():. PubMed ID: 34531615
[TBL] [Abstract][Full Text] [Related]
20. Fast learning of fiber orientation distribution function for MR tractography using convolutional neural network.
Lin Z; Gong T; Wang K; Li Z; He H; Tong Q; Yu F; Zhong J
Med Phys; 2019 Jul; 46(7):3101-3116. PubMed ID: 31009085
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
