157 related articles for article (PubMed ID: 34197331)
61. IAS-NET: Joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation.
Li B; You X; Wang J; Peng Q; Yin S; Qi R; Ren Q; Hong Z
Med Phys; 2021 Nov; 48(11):6962-6975. PubMed ID: 34494276
[TBL] [Abstract][Full Text] [Related]
62. 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]
63. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
64. Cross-Modal Consistency for Single-Modal MR Image Segmentation.
Xu W; Li C; Bian Y; Meng Q; Zhu W; Shi F; Chen X; Shao C; Xiang D
IEEE Trans Biomed Eng; 2024 Mar; PP():. PubMed ID: 38512744
[TBL] [Abstract][Full Text] [Related]
65. Scale- and Slice-aware Net (S
Yan C; Lu JJ; Chen K; Wang L; Lu H; Yu L; Sun M; Xu J
Magn Reson Med; 2022 Jan; 87(1):431-445. PubMed ID: 34337773
[TBL] [Abstract][Full Text] [Related]
66. CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox.
Yang Z; Zhuang X; Mishra V; Sreenivasan K; Cordes D
Neuroimage; 2020 Sep; 218():116947. PubMed ID: 32474081
[TBL] [Abstract][Full Text] [Related]
67. Multiple Sclerosis Lesion Segmentation in Brain MRI Using Inception Modules Embedded in a Convolutional Neural Network.
Ansari SU; Javed K; Qaisar SM; Jillani R; Haider U
J Healthc Eng; 2021; 2021():4138137. PubMed ID: 34484652
[TBL] [Abstract][Full Text] [Related]
68. 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]
69. 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]
70. MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation.
Liao X; Qian Y; Chen Y; Xiong X; Wang Q; Heng PA
Comput Med Imaging Graph; 2020 Oct; 85():101785. PubMed ID: 32898732
[TBL] [Abstract][Full Text] [Related]
71. Graph-convolutional-network-based interactive prostate segmentation in MR images.
Tian Z; Li X; Zheng Y; Chen Z; Shi Z; Liu L; Fei B
Med Phys; 2020 Sep; 47(9):4164-4176. PubMed ID: 32533855
[TBL] [Abstract][Full Text] [Related]
72. Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers.
Khened M; Kollerathu VA; Krishnamurthi G
Med Image Anal; 2019 Jan; 51():21-45. PubMed ID: 30390512
[TBL] [Abstract][Full Text] [Related]
73. 3D Cascaded Convolutional Networks for Multi-vertebrae Segmentation.
Xia L; Xiao L; Quan G; Bo W
Curr Med Imaging; 2020; 16(3):231-240. PubMed ID: 32133953
[TBL] [Abstract][Full Text] [Related]
74. Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.
Ma Z; Zhou S; Wu X; Zhang H; Yan W; Sun S; Zhou J
Phys Med Biol; 2019 Jan; 64(2):025005. PubMed ID: 30524024
[TBL] [Abstract][Full Text] [Related]
75. Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U-Net.
Lin M; Momin S; Lei Y; Wang H; Curran WJ; Liu T; Yang X
Med Phys; 2021 Aug; 48(8):4365-4374. PubMed ID: 34101845
[TBL] [Abstract][Full Text] [Related]
76. SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation.
Pang S; Pang C; Zhao L; Chen Y; Su Z; Zhou Y; Huang M; Yang W; Lu H; Feng Q
IEEE Trans Med Imaging; 2021 Jan; 40(1):262-273. PubMed ID: 32956047
[TBL] [Abstract][Full Text] [Related]
77. 3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.
Zhang X; Hu Y; Chen W; Huang G; Nie S
J Zhejiang Univ Sci B; 2021 Jun; 22(6):462-475. PubMed ID: 34128370
[TBL] [Abstract][Full Text] [Related]
78. ACU
Balachandran S; Qin X; Jiang C; Blouri ES; Forouzandeh A; Dehghan M; Zonoobi D; Kapur J; Jaremko J; Punithakumar K
Comput Biol Med; 2023 May; 157():106792. PubMed ID: 36965325
[TBL] [Abstract][Full Text] [Related]
79. CLCU-Net: Cross-level connected U-shaped network with selective feature aggregation attention module for brain tumor segmentation.
Wang YL; Zhao ZJ; Hu SY; Chang FL
Comput Methods Programs Biomed; 2021 Aug; 207():106154. PubMed ID: 34034031
[TBL] [Abstract][Full Text] [Related]
80. RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.
Liu J; Wang C; Guo J; Shao J; Xu X; Liu X; Li H; Li W; Yi Z
Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):895-904. PubMed ID: 33846890
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]