539 related articles for article (PubMed ID: 26808333)
21. Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN).
Iqbal S; Ghani MU; Saba T; Rehman A
Microsc Res Tech; 2018 Apr; 81(4):419-427. PubMed ID: 29356229
[TBL] [Abstract][Full Text] [Related]
22. Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network.
Cui S; Mao L; Jiang J; Liu C; Xiong S
J Healthc Eng; 2018; 2018():4940593. PubMed ID: 29755716
[TBL] [Abstract][Full Text] [Related]
23. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
24. Convolutional neural network in nasopharyngeal carcinoma: how good is automatic delineation for primary tumor on a non-contrast-enhanced fat-suppressed T2-weighted MRI?
Wong LM; Ai QYH; Mo FKF; Poon DMC; King AD
Jpn J Radiol; 2021 Jun; 39(6):571-579. PubMed ID: 33544302
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.
Stember JN; Celik H; Krupinski E; Chang PD; Mutasa S; Wood BJ; Lignelli A; Moonis G; Schwartz LH; Jambawalikar S; Bagci U
J Digit Imaging; 2019 Aug; 32(4):597-604. PubMed ID: 31044392
[TBL] [Abstract][Full Text] [Related]
27. Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation.
Bathla G; Dhruba DD; Liu Y; Le NH; Soni N; Zhang H; Mohan S; Roberts-Wolfe D; Rathore S; Sonka M; Priya S; Agarwal A
Acad Radiol; 2024 May; 31(5):2041-2049. PubMed ID: 37977889
[TBL] [Abstract][Full Text] [Related]
28. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
Naceur MB; Saouli R; Akil M; Kachouri R
Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717
[TBL] [Abstract][Full Text] [Related]
29. Esophagus segmentation in CT via 3D fully convolutional neural network and random walk.
Fechter T; Adebahr S; Baltas D; Ben Ayed I; Desrosiers C; Dolz J
Med Phys; 2017 Dec; 44(12):6341-6352. PubMed ID: 28940372
[TBL] [Abstract][Full Text] [Related]
30. [Segmentation of brain tumor on magnetic resonance images using 3D full-convolutional densely connected convolutional networks].
Huang YH; Feng QJ
Nan Fang Yi Ke Da Xue Xue Bao; 2018 Jun; 38(6):661-668. PubMed ID: 29997087
[TBL] [Abstract][Full Text] [Related]
31. Brain tumor segmentation with Deep Neural Networks.
Havaei M; Davy A; Warde-Farley D; Biard A; Courville A; Bengio Y; Pal C; Jodoin PM; Larochelle H
Med Image Anal; 2017 Jan; 35():18-31. PubMed ID: 27310171
[TBL] [Abstract][Full Text] [Related]
32. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI.
Grøvik E; Yi D; Iv M; Tong E; Rubin D; Zaharchuk G
J Magn Reson Imaging; 2020 Jan; 51(1):175-182. PubMed ID: 31050074
[TBL] [Abstract][Full Text] [Related]
33. Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging.
Duong MT; Rudie JD; Wang J; Xie L; Mohan S; Gee JC; Rauschecker AM
AJNR Am J Neuroradiol; 2019 Aug; 40(8):1282-1290. PubMed ID: 31345943
[TBL] [Abstract][Full Text] [Related]
34. Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation.
Trivizakis E; Manikis GC; Nikiforaki K; Drevelegas K; Constantinides M; Drevelegas A; Marias K
IEEE J Biomed Health Inform; 2019 May; 23(3):923-930. PubMed ID: 30561355
[TBL] [Abstract][Full Text] [Related]
35. A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis.
Salem M; Valverde S; Cabezas M; Pareto D; Oliver A; Salvi J; Rovira À; Lladó X
Neuroimage Clin; 2020; 25():102149. PubMed ID: 31918065
[TBL] [Abstract][Full Text] [Related]
36. Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.
Qi Dou ; Hao Chen ; Lequan Yu ; Lei Zhao ; Jing Qin ; Defeng Wang ; Mok VC; Lin Shi ; Pheng-Ann Heng
IEEE Trans Med Imaging; 2016 May; 35(5):1182-1195. PubMed ID: 26886975
[TBL] [Abstract][Full Text] [Related]
37. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
Chen H; Dou Q; Yu L; Qin J; Heng PA
Neuroimage; 2018 Apr; 170():446-455. PubMed ID: 28445774
[TBL] [Abstract][Full Text] [Related]
38. Investigating the discrimination ability of 3D convolutional neural networks applied to altered brain MRI parametric maps.
Mattia GM; Villain E; Nemmi F; Le Lann MV; Franceries X; Péran P
Artif Intell Med; 2024 Jul; 153():102897. PubMed ID: 38810471
[TBL] [Abstract][Full Text] [Related]
39. Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
Huo Y; Xu Z; Bao S; Bermudez C; Moon H; Parvathaneni P; Moyo TK; Savona MR; Assad A; Abramson RG; Landman BA
IEEE Trans Med Imaging; 2019 May; 38(5):1185-1196. PubMed ID: 30442602
[TBL] [Abstract][Full Text] [Related]
40. Improving resolution of MR images with an adversarial network incorporating images with different contrast.
Kim KH; Do WJ; Park SH
Med Phys; 2018 Jul; 45(7):3120-3131. PubMed ID: 29729006
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
