207 related articles for article (PubMed ID: 35842095)
1. SynthStrip: skull-stripping for any brain image.
Hoopes A; Mora JS; Dalca AV; Fischl B; Hoffmann M
Neuroimage; 2022 Oct; 260():119474. PubMed ID: 35842095
[TBL] [Abstract][Full Text] [Related]
2. BOOSTING SKULL-STRIPPING PERFORMANCE FOR PEDIATRIC BRAIN IMAGES.
Kelley W; Ngo N; Dalca AV; Fischl B; Zöllei L; Hoffmann M
ArXiv; 2024 Feb; ():. PubMed ID: 38463507
[TBL] [Abstract][Full Text] [Related]
3. Robust skull stripping using multiple MR image contrasts insensitive to pathology.
Roy S; Butman JA; Pham DL;
Neuroimage; 2017 Feb; 146():132-147. PubMed ID: 27864083
[TBL] [Abstract][Full Text] [Related]
4. A multi-view pyramid network for skull stripping on neonatal T1-weighted MRI.
Gao Y; Li J; Xu H; Wang M; Liu C; Cheng Y; Li M; Yang J; Li X
Magn Reson Imaging; 2019 Nov; 63():70-79. PubMed ID: 31425808
[TBL] [Abstract][Full Text] [Related]
5. A general skull stripping of multiparametric brain MRIs using 3D convolutional neural network.
Pei L; Ak M; Tahon NHM; Zenkin S; Alkarawi S; Kamal A; Yilmaz M; Chen L; Er M; Ak N; Colen R
Sci Rep; 2022 Jun; 12(1):10826. PubMed ID: 35760886
[TBL] [Abstract][Full Text] [Related]
6. Accuracy of skull stripping in a single-contrast convolutional neural network model using eight-contrast magnetic resonance images.
Goto M; Otsuka Y; Hagiwara A; Fujita S; Hori M; Kamagata K; Aoki S; Abe O; Sakamoto H; Sakano Y; Kyogoku S; Daida H
Radiol Phys Technol; 2023 Sep; 16(3):373-383. PubMed ID: 37291372
[TBL] [Abstract][Full Text] [Related]
7. The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data.
Puccio B; Pooley JP; Pellman JS; Taverna EC; Craddock RC
Gigascience; 2016 Oct; 5(1):45. PubMed ID: 27782853
[TBL] [Abstract][Full Text] [Related]
8. k-strip: A novel segmentation algorithm in k-space for the application of skull stripping.
Rempe M; Mentzel F; Pomykala KL; Haubold J; Nensa F; Kroeninger K; Egger J; Kleesiek J
Comput Methods Programs Biomed; 2024 Jan; 243():107912. PubMed ID: 37981454
[TBL] [Abstract][Full Text] [Related]
9. State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms.
Fatima A; Shahid AR; Raza B; Madni TM; Janjua UI
J Digit Imaging; 2020 Dec; 33(6):1443-1464. PubMed ID: 32666364
[TBL] [Abstract][Full Text] [Related]
10. A Deep Learning Framework for Skull Stripping in Brain MRI.
Tabassum M; Al Suman A; Russo C; Di Ieva A; Liu S
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082786
[TBL] [Abstract][Full Text] [Related]
11. Skull-stripping with machine learning deformable organisms.
Prasad G; Joshi AA; Feng A; Toga AW; Thompson PM; Terzopoulos D
J Neurosci Methods; 2014 Oct; 236():114-24. PubMed ID: 25124851
[TBL] [Abstract][Full Text] [Related]
12. Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
Thakur S; Doshi J; Pati S; Rathore S; Sako C; Bilello M; Ha SM; Shukla G; Flanders A; Kotrotsou A; Milchenko M; Liem S; Alexander GS; Lombardo J; Palmer JD; LaMontagne P; Nazeri A; Talbar S; Kulkarni U; Marcus D; Colen R; Davatzikos C; Erus G; Bakas S
Neuroimage; 2020 Oct; 220():117081. PubMed ID: 32603860
[TBL] [Abstract][Full Text] [Related]
13. An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.
Souza R; Lucena O; Garrafa J; Gobbi D; Saluzzi M; Appenzeller S; Rittner L; Frayne R; Lotufo R
Neuroimage; 2018 Apr; 170():482-494. PubMed ID: 28807870
[TBL] [Abstract][Full Text] [Related]
14. Methods on Skull Stripping of MRI Head Scan Images-a Review.
Kalavathi P; Prasath VB
J Digit Imaging; 2016 Jun; 29(3):365-79. PubMed ID: 26628083
[TBL] [Abstract][Full Text] [Related]
15. Field of View Normalization in Multi-Site Brain MRI.
Ou Y; Zöllei L; Da X; Retzepi K; Murphy SN; Gerstner ER; Rosen BR; Grant PE; Kalpathy-Cramer J; Gollub RL
Neuroinformatics; 2018 Oct; 16(3-4):431-444. PubMed ID: 29353341
[TBL] [Abstract][Full Text] [Related]
16. Analysis and validation of automated skull stripping tools: a validation study based on 296 MR images from the Honolulu Asia aging study.
Hartley SW; Scher AI; Korf ES; White LR; Launer LJ
Neuroimage; 2006 May; 30(4):1179-86. PubMed ID: 16376107
[TBL] [Abstract][Full Text] [Related]
17. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Lucena O; Souza R; Rittner L; Frayne R; Lotufo R
Artif Intell Med; 2019 Jul; 98():48-58. PubMed ID: 31521252
[TBL] [Abstract][Full Text] [Related]
18. Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.
De Feo R; Shatillo A; Sierra A; Valverde JM; Gröhn O; Giove F; Tohka J
Neuroimage; 2021 Apr; 229():117734. PubMed ID: 33454412
[TBL] [Abstract][Full Text] [Related]
19. Robust brain extraction across datasets and comparison with publicly available methods.
Iglesias JE; Liu CY; Thompson PM; Tu Z
IEEE Trans Med Imaging; 2011 Sep; 30(9):1617-34. PubMed ID: 21880566
[TBL] [Abstract][Full Text] [Related]
20. DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
Zhong T; Zhao F; Pei Y; Ning Z; Liao L; Wu Z; Niu Y; Wang L; Shen D; Zhang Y; Li G
Neuroimage; 2021 Feb; 227():117649. PubMed ID: 33338616
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
