128 related articles for article (PubMed ID: 28066806)
1. Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning.
Korfiatis P; Kline TL; Erickson BJ
Tomography; 2016 Dec; 2(4):334-340. PubMed ID: 28066806
[TBL] [Abstract][Full Text] [Related]
2. Automatic localization and segmentation of focal cortical dysplasia in FLAIR-negative patients using a convolutional neural network.
Feng C; Zhao H; Li Y; Wen J
J Appl Clin Med Phys; 2020 Sep; 21(9):215-226. PubMed ID: 32809276
[TBL] [Abstract][Full Text] [Related]
3. Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.
Di Ieva A; Russo C; Liu S; Jian A; Bai MY; Qian Y; Magnussen JS
Neuroradiology; 2021 Aug; 63(8):1253-1262. PubMed ID: 33501512
[TBL] [Abstract][Full Text] [Related]
4. Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images.
Naser MA; Deen MJ
Comput Biol Med; 2020 Jun; 121():103758. PubMed ID: 32568668
[TBL] [Abstract][Full Text] [Related]
5. Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN.
Do HP; Guo Y; Yoon AJ; Nayak KS
Magn Reson Med; 2020 May; 83(5):1863-1874. PubMed ID: 31729078
[TBL] [Abstract][Full Text] [Related]
6. Reliability of Semi-Automated Segmentations in Glioblastoma.
Huber T; Alber G; Bette S; Boeckh-Behrens T; Gempt J; Ringel F; Alberts E; Zimmer C; Bauer JS
Clin Neuroradiol; 2017 Jun; 27(2):153-161. PubMed ID: 26490369
[TBL] [Abstract][Full Text] [Related]
7. An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images.
Boehringer AS; Sanaat A; Arabi H; Zaidi H
Insights Imaging; 2023 Aug; 14(1):141. PubMed ID: 37620554
[TBL] [Abstract][Full Text] [Related]
8. Automatic deep learning multicontrast corpus callosum segmentation in multiple sclerosis.
Brusini I; Platten M; Ouellette R; Piehl F; Wang C; Granberg T
J Neuroimaging; 2022 May; 32(3):459-470. PubMed ID: 35083815
[TBL] [Abstract][Full Text] [Related]
9. Automatic segmentation of the right ventricle from cardiac MRI using a learning-based approach.
Avendi MR; Kheradvar A; Jafarkhani H
Magn Reson Med; 2017 Dec; 78(6):2439-2448. PubMed ID: 28205298
[TBL] [Abstract][Full Text] [Related]
10. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
Zhou X; Takayama R; Wang S; Hara T; Fujita H
Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
[TBL] [Abstract][Full Text] [Related]
11. Automated segmentation of magnetic resonance bone marrow signal: a feasibility study.
von Brandis E; Jenssen HB; Avenarius DFM; Bjørnerud A; Flatø B; Tomterstad AH; Lilleby V; Rosendahl K; Sakinis T; Zadig PKK; Müller LO
Pediatr Radiol; 2022 May; 52(6):1104-1114. PubMed ID: 35107593
[TBL] [Abstract][Full Text] [Related]
12. MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?
Egger C; Opfer R; Wang C; Kepp T; Sormani MP; Spies L; Barnett M; Schippling S
Neuroimage Clin; 2017; 13():264-270. PubMed ID: 28018853
[TBL] [Abstract][Full Text] [Related]
13. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Pereira S; Pinto A; Alves V; Silva CA
IEEE Trans Med Imaging; 2016 May; 35(5):1240-1251. PubMed ID: 26960222
[TBL] [Abstract][Full Text] [Related]
14. A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.
Avendi MR; Kheradvar A; Jafarkhani H
Med Image Anal; 2016 May; 30():108-119. PubMed ID: 26917105
[TBL] [Abstract][Full Text] [Related]
15. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
Ibragimov B; Xing L
Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
[TBL] [Abstract][Full Text] [Related]
16. Magnetic Resonance Imaging Image-Based Segmentation of Brain Tumor Using the Modified Transfer Learning Method.
Singh S; Singh BK; Kumar A
J Med Phys; 2022; 47(4):315-321. PubMed ID: 36908498
[TBL] [Abstract][Full Text] [Related]
17. Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation.
Iqbal S; Ghani Khan MU; Saba T; Mehmood Z; Javaid N; Rehman A; Abbasi R
Microsc Res Tech; 2019 Aug; 82(8):1302-1315. PubMed ID: 31032544
[TBL] [Abstract][Full Text] [Related]
18. Whole-body bone segmentation from MRI for PET/MRI attenuation correction using shape-based averaging.
Arabi H; Zaidi H
Med Phys; 2016 Nov; 43(11):5848. PubMed ID: 27806602
[TBL] [Abstract][Full Text] [Related]
19. Automatic segmentation and quantitative analysis of white matter hyperintensities on FLAIR images using trimmed-likelihood estimator.
Wang R; Li C; Wang J; Wei X; Li Y; Hui C; Zhu Y; Zhang S
Acad Radiol; 2014 Dec; 21(12):1512-23. PubMed ID: 25176451
[TBL] [Abstract][Full Text] [Related]
20. Spatially varying accuracy and reproducibility of prostate segmentation in magnetic resonance images using manual and semiautomated methods.
Shahedi M; Cool DW; Romagnoli C; Bauman GS; Bastian-Jordan M; Gibson E; Rodrigues G; Ahmad B; Lock M; Fenster A; Ward AD
Med Phys; 2014 Nov; 41(11):113503. PubMed ID: 25370674
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]