283 related articles for article (PubMed ID: 34661698)
1. Automated subcortical volume estimation from 2D MRI in epilepsy and implications for clinical trials.
Brownhill D; Chen Y; Kreilkamp BAK; de Bezenac C; Denby C; Bracewell M; Biswas S; Das K; Marson AG; Keller SS
Neuroradiology; 2022 May; 64(5):935-947. PubMed ID: 34661698
[TBL] [Abstract][Full Text] [Related]
2. Subcortical brain segmentation of two dimensional T1-weighted data sets with FMRIB's Integrated Registration and Segmentation Tool (FIRST).
Amann M; Andělová M; Pfister A; Mueller-Lenke N; Traud S; Reinhardt J; Magon S; Bendfeldt K; Kappos L; Radue EW; Stippich C; Sprenger T
Neuroimage Clin; 2015; 7():43-52. PubMed ID: 25610766
[TBL] [Abstract][Full Text] [Related]
3. Measurement of Cortical Thickness and Volume of Subcortical Structures in Multiple Sclerosis: Agreement between 2D Spin-Echo and 3D MPRAGE T1-Weighted Images.
Vidal-Jordana A; Pareto D; Sastre-Garriga J; Auger C; Ciampi E; Montalban X; Rovira A
AJNR Am J Neuroradiol; 2017 Feb; 38(2):250-256. PubMed ID: 27884876
[TBL] [Abstract][Full Text] [Related]
4. 3D quantitative synthetic MRI-derived cortical thickness and subcortical brain volumes: Scan-rescan repeatability and comparison with conventional T
Fujita S; Hagiwara A; Hori M; Warntjes M; Kamagata K; Fukunaga I; Goto M; Takuya H; Takasu K; Andica C; Maekawa T; Takemura MY; Irie R; Wada A; Suzuki M; Aoki S
J Magn Reson Imaging; 2019 Dec; 50(6):1834-1842. PubMed ID: 30968991
[TBL] [Abstract][Full Text] [Related]
5. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
[TBL] [Abstract][Full Text] [Related]
6. Gadolinium effect on thalamus and whole brain tissue segmentation.
Hannoun S; Baalbaki M; Haddad R; Saaybi S; El Ayoubi NK; Yamout BI; Khoury SJ; Hourani R
Neuroradiology; 2018 Nov; 60(11):1167-1173. PubMed ID: 30128599
[TBL] [Abstract][Full Text] [Related]
7. Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability.
Opfer R; Krüger J; Spies L; Ostwaldt AC; Kitzler HH; Schippling S; Buchert R
Eur Radiol; 2023 Mar; 33(3):1852-1861. PubMed ID: 36264314
[TBL] [Abstract][Full Text] [Related]
8. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
Pipitone J; Park MT; Winterburn J; Lett TA; Lerch JP; Pruessner JC; Lepage M; Voineskos AN; Chakravarty MM;
Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800
[TBL] [Abstract][Full Text] [Related]
9. Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation.
Graf R; Schmitt J; Schlaeger S; Möller HK; Sideri-Lampretsa V; Sekuboyina A; Krieg SM; Wiestler B; Menze B; Rueckert D; Kirschke JS
Eur Radiol Exp; 2023 Nov; 7(1):70. PubMed ID: 37957426
[TBL] [Abstract][Full Text] [Related]
10. Quantitative evaluation of an automatic segmentation method for 3D reconstruction of intervertebral scoliotic disks from MR images.
Claudia C; Farida C; Guy G; Marie-Claude M; Carl-Eric A
BMC Med Imaging; 2012 Aug; 12():26. PubMed ID: 22856667
[TBL] [Abstract][Full Text] [Related]
11. A Robust and Accurate Deep-learning-based Method for the Segmentation of Subcortical Brain: Cross-dataset Evaluation of Generalization Performance.
Furuhashi N; Okuhata S; Kobayashi T
Magn Reson Med Sci; 2021 Jun; 20(2):166-174. PubMed ID: 32389928
[TBL] [Abstract][Full Text] [Related]
12. A comparative study of segmentation techniques for the quantification of brain subcortical volume.
Akudjedu TN; Nabulsi L; Makelyte M; Scanlon C; Hehir S; Casey H; Ambati S; Kenney J; O'Donoghue S; McDermott E; Kilmartin L; Dockery P; McDonald C; Hallahan B; Cannon DM
Brain Imaging Behav; 2018 Dec; 12(6):1678-1695. PubMed ID: 29442273
[TBL] [Abstract][Full Text] [Related]
13. Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method.
Wu S; Weinstein SP; Conant EF; Kontos D
Med Phys; 2013 Dec; 40(12):122302. PubMed ID: 24320533
[TBL] [Abstract][Full Text] [Related]
14. Subcortical and hippocampal brain segmentation in 5-year-old children: Validation of FSL-FIRST and FreeSurfer against manual segmentation.
Lidauer K; Pulli EP; Copeland A; Silver E; Kumpulainen V; Hashempour N; Merisaari H; Saunavaara J; Parkkola R; Lähdesmäki T; Saukko E; Nolvi S; Kataja EL; Karlsson L; Karlsson H; Tuulari JJ
Eur J Neurosci; 2022 Sep; 56(5):4619-4641. PubMed ID: 35799402
[TBL] [Abstract][Full Text] [Related]
15. Subcortical and cerebellar atrophy in mesial temporal lobe epilepsy revealed by automatic segmentation.
McDonald CR; Hagler DJ; Ahmadi ME; Tecoma E; Iragui V; Dale AM; Halgren E
Epilepsy Res; 2008 May; 79(2-3):130-8. PubMed ID: 18359198
[TBL] [Abstract][Full Text] [Related]
16. An improved FSL-FIRST pipeline for subcortical gray matter segmentation to study abnormal brain anatomy using quantitative susceptibility mapping (QSM).
Feng X; Deistung A; Dwyer MG; Hagemeier J; Polak P; Lebenberg J; Frouin F; Zivadinov R; Reichenbach JR; Schweser F
Magn Reson Imaging; 2017 Jun; 39():110-122. PubMed ID: 28188873
[TBL] [Abstract][Full Text] [Related]
17. Automated subcortical segmentation using FIRST: test-retest reliability, interscanner reliability, and comparison to manual segmentation.
Nugent AC; Luckenbaugh DA; Wood SE; Bogers W; Zarate CA; Drevets WC
Hum Brain Mapp; 2013 Sep; 34(9):2313-29. PubMed ID: 22815187
[TBL] [Abstract][Full Text] [Related]
18. SEMAC-VAT and MSVAT-SPACE sequence strategies for metal artifact reduction in 1.5T magnetic resonance imaging.
Ai T; Padua A; Goerner F; Nittka M; Gugala Z; Jadhav S; Trelles M; Johnson RF; Lindsey RW; Li X; Runge VM
Invest Radiol; 2012 May; 47(5):267-76. PubMed ID: 22266987
[TBL] [Abstract][Full Text] [Related]
19. Automatic intra-subject registration-based segmentation of abdominal fat from water-fat MRI.
Joshi AA; Hu HH; Leahy RM; Goran MI; Nayak KS
J Magn Reson Imaging; 2013 Feb; 37(2):423-30. PubMed ID: 23011805
[TBL] [Abstract][Full Text] [Related]
20. An adaptive probabilistic atlas for anomalous brain segmentation in MR images.
Martins SB; Bragantini J; Falcão AX; Yasuda CL
Med Phys; 2019 Nov; 46(11):4940-4950. PubMed ID: 31423590
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
