355 related articles for article (PubMed ID: 34894571)
1. DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation.
Kamraoui RA; Ta VT; Tourdias T; Mansencal B; Manjon JV; Coup P
Med Image Anal; 2022 Feb; 76():102312. PubMed ID: 34894571
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks.
Valverde S; Salem M; Cabezas M; Pareto D; Vilanova JC; Ramió-Torrentà L; Rovira À; Salvi J; Oliver A; Lladó X
Neuroimage Clin; 2019; 21():101638. PubMed ID: 30555005
[TBL] [Abstract][Full Text] [Related]
4. Assessing robustness and generalization of a deep neural network for brain MS lesion segmentation on real-world data.
Chaves H; Serra MM; Shalom DE; Ananía P; Rueda F; Osa Sanz E; Stefanoff NI; Rodríguez Murúa S; Costa ME; Kitamura FC; Yañez P; Cejas C; Correale J; Ferrante E; Fernández Slezak D; Farez MF
Eur Radiol; 2024 Mar; 34(3):2024-2035. PubMed ID: 37650967
[TBL] [Abstract][Full Text] [Related]
5. Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
Zhang L; Wang X; Yang D; Sanford T; Harmon S; Turkbey B; Wood BJ; Roth H; Myronenko A; Xu D; Xu Z
IEEE Trans Med Imaging; 2020 Jul; 39(7):2531-2540. PubMed ID: 32070947
[TBL] [Abstract][Full Text] [Related]
6. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.
Gros C; De Leener B; Badji A; Maranzano J; Eden D; Dupont SM; Talbott J; Zhuoquiong R; Liu Y; Granberg T; Ouellette R; Tachibana Y; Hori M; Kamiya K; Chougar L; Stawiarz L; Hillert J; Bannier E; Kerbrat A; Edan G; Labauge P; Callot V; Pelletier J; Audoin B; Rasoanandrianina H; Brisset JC; Valsasina P; Rocca MA; Filippi M; Bakshi R; Tauhid S; Prados F; Yiannakas M; Kearney H; Ciccarelli O; Smith S; Treaba CA; Mainero C; Lefeuvre J; Reich DS; Nair G; Auclair V; McLaren DG; Martin AR; Fehlings MG; Vahdat S; Khatibi A; Doyon J; Shepherd T; Charlson E; Narayanan S; Cohen-Adad J
Neuroimage; 2019 Jan; 184():901-915. PubMed ID: 30300751
[TBL] [Abstract][Full Text] [Related]
7. Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.
Brosch T; Tang LY; Youngjin Yoo ; Li DK; Traboulsee A; Tam R
IEEE Trans Med Imaging; 2016 May; 35(5):1229-1239. PubMed ID: 26886978
[TBL] [Abstract][Full Text] [Related]
8. Multi-branch convolutional neural network for multiple sclerosis lesion segmentation.
Aslani S; Dayan M; Storelli L; Filippi M; Murino V; Rocca MA; Sona D
Neuroimage; 2019 Aug; 196():1-15. PubMed ID: 30953833
[TBL] [Abstract][Full Text] [Related]
9. Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.
Valverde S; Cabezas M; Roura E; González-Villà S; Pareto D; Vilanova JC; Ramió-Torrentà L; Rovira À; Oliver A; Lladó X
Neuroimage; 2017 Jul; 155():159-168. PubMed ID: 28435096
[TBL] [Abstract][Full Text] [Related]
10. Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry.
Clèrigues A; Valverde S; Salvi J; Oliver A; Lladó X
Comput Med Imaging Graph; 2023 Jan; 103():102157. PubMed ID: 36535217
[TBL] [Abstract][Full Text] [Related]
11. Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation.
Essa E; Aldesouky D; Hussein SE; Rashad MZ
Med Biol Eng Comput; 2020 Sep; 58(9):2161-2175. PubMed ID: 32681214
[TBL] [Abstract][Full Text] [Related]
12. A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images.
Sarica B; Seker DZ; Bayram B
Int J Med Inform; 2023 Feb; 170():104965. PubMed ID: 36580821
[TBL] [Abstract][Full Text] [Related]
13. Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.
Hashemi SR; Salehi SSM; Erdogmus D; Prabhu SP; Warfield SK; Gholipour A
IEEE Access; 2019; 7():721-1735. PubMed ID: 31528523
[TBL] [Abstract][Full Text] [Related]
14. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
15. Comparing lesion segmentation methods in multiple sclerosis: Input from one manually delineated subject is sufficient for accurate lesion segmentation.
Weeda MM; Brouwer I; de Vos ML; de Vries MS; Barkhof F; Pouwels PJW; Vrenken H
Neuroimage Clin; 2019; 24():102074. PubMed ID: 31734527
[TBL] [Abstract][Full Text] [Related]
16. Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks.
McKinley R; Wepfer R; Aschwanden F; Grunder L; Muri R; Rummel C; Verma R; Weisstanner C; Reyes M; Salmen A; Chan A; Wagner F; Wiest R
Sci Rep; 2021 Jan; 11(1):1087. PubMed ID: 33441684
[TBL] [Abstract][Full Text] [Related]
17. AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation.
Lyu J; Zhang Y; Huang Y; Lin L; Cheng P; Tang X
IEEE Trans Med Imaging; 2022 Dec; 41(12):3699-3711. PubMed ID: 35862336
[TBL] [Abstract][Full Text] [Related]
18. Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation.
Xie L; Wisse LEM; Wang J; Ravikumar S; Khandelwal P; Glenn T; Luther A; Lim S; Wolk DA; Yushkevich PA
Med Image Anal; 2023 Jan; 83():102683. PubMed ID: 36379194
[TBL] [Abstract][Full Text] [Related]
19. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
[TBL] [Abstract][Full Text] [Related]
20. Domain generalization in deep learning for contrast-enhanced imaging.
Sendra-Balcells C; Campello VM; Martín-Isla C; Viladés D; Descalzo ML; Guala A; Rodríguez-Palomares JF; Lekadir K
Comput Biol Med; 2022 Oct; 149():106052. PubMed ID: 36055164
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]