127 related articles for article (PubMed ID: 31100582)
21. 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]
22. A Novel Framework With Weighted Decision Map Based on Convolutional Neural Network for Cardiac MR Segmentation.
Li FY; Li W; Gao X; Xiao B
IEEE J Biomed Health Inform; 2022 May; 26(5):2228-2239. PubMed ID: 34851840
[TBL] [Abstract][Full Text] [Related]
23. Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning.
Ataloglou D; Dimou A; Zarpalas D; Daras P
Neuroinformatics; 2019 Oct; 17(4):563-582. PubMed ID: 30877605
[TBL] [Abstract][Full Text] [Related]
24. Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
Dolz J; Xu X; Rony J; Yuan J; Liu Y; Granger E; Desrosiers C; Zhang X; Ben Ayed I; Lu H
Med Phys; 2018 Dec; 45(12):5482-5493. PubMed ID: 30328624
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.
Liu J; Liu H; Gong S; Tang Z; Xie Y; Yin H; Niyoyita JP
Med Image Anal; 2021 Aug; 72():102135. PubMed ID: 34182202
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation.
Dong S; Pan Z; Fu Y; Yang Q; Gao Y; Yu T; Shi Y; Zhuo C
Med Image Anal; 2022 May; 78():102389. PubMed ID: 35219940
[TBL] [Abstract][Full Text] [Related]
30. Cardiac magnetic resonance image segmentation based on convolutional neural network.
Liu D; Jia Z; Jin M; Liu Q; Liao Z; Zhong J; Ye H; Chen G
Comput Methods Programs Biomed; 2020 Dec; 197():105755. PubMed ID: 32977180
[TBL] [Abstract][Full Text] [Related]
31. Seg-CapNet: A Capsule-Based Neural Network for the Segmentation of Left Ventricle from Cardiac Magnetic Resonance Imaging.
Cao YJ; Wu S; Liu C; Lin N; Wang Y; Yang C; Li J
J Comput Sci Technol; 2021; 36(2):323-333. PubMed ID: 33867774
[TBL] [Abstract][Full Text] [Related]
32. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
33. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
Wang Y; Zhou Y; Shen W; Park S; Fishman EK; Yuille AL
Med Image Anal; 2019 Jul; 55():88-102. PubMed ID: 31035060
[TBL] [Abstract][Full Text] [Related]
34. Dilated convolution network with edge fusion block and directional feature maps for cardiac MRI segmentation.
Chen Z; Bai J; Lu Y
Front Physiol; 2023; 14():1027076. PubMed ID: 36776975
[TBL] [Abstract][Full Text] [Related]
35. Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.
Kushibar K; Valverde S; González-Villà S; Bernal J; Cabezas M; Oliver A; Lladó X
Med Image Anal; 2018 Aug; 48():177-186. PubMed ID: 29935442
[TBL] [Abstract][Full Text] [Related]
36. Deep learning-based cardiac cine segmentation: Transfer learning application to 7T ultrahigh-field MRI.
Ankenbrand MJ; Lohr D; Schlötelburg W; Reiter T; Wech T; Schreiber LM
Magn Reson Med; 2021 Oct; 86(4):2179-2191. PubMed ID: 34002412
[TBL] [Abstract][Full Text] [Related]
37. Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Lian C; Zhang J; Liu M; Zong X; Hung SC; Lin W; Shen D
Med Image Anal; 2018 May; 46():106-117. PubMed ID: 29518675
[TBL] [Abstract][Full Text] [Related]
38. Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression.
Tan LK; McLaughlin RA; Lim E; Abdul Aziz YF; Liew YM
J Magn Reson Imaging; 2018 Jul; 48(1):140-152. PubMed ID: 29316024
[TBL] [Abstract][Full Text] [Related]
39. AdaEn-Net: An ensemble of adaptive 2D-3D Fully Convolutional Networks for medical image segmentation.
Baldeon Calisto M; Lai-Yuen SK
Neural Netw; 2020 Jun; 126():76-94. PubMed ID: 32203876
[TBL] [Abstract][Full Text] [Related]
40. Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images.
Feng X; Qing K; Tustison NJ; Meyer CH; Chen Q
Med Phys; 2019 May; 46(5):2169-2180. PubMed ID: 30830685
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
