916 related articles for article (PubMed ID: 30390512)
1. 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]
2. Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences.
Tan LK; Liew YM; Lim E; McLaughlin RA
Med Image Anal; 2017 Jul; 39():78-86. PubMed ID: 28437634
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Automatic cardiac cine MRI segmentation and heart disease classification.
Ammar A; Bouattane O; Youssfi M
Comput Med Imaging Graph; 2021 Mar; 88():101864. PubMed ID: 33485057
[TBL] [Abstract][Full Text] [Related]
5. A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.
Abdeltawab H; Khalifa F; Taher F; Alghamdi NS; Ghazal M; Beache G; Mohamed T; Keynton R; El-Baz A
Comput Med Imaging Graph; 2020 Apr; 81():101717. PubMed ID: 32222684
[TBL] [Abstract][Full Text] [Related]
6. Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.
Bai W; Sinclair M; Tarroni G; Oktay O; Rajchl M; Vaillant G; Lee AM; Aung N; Lukaschuk E; Sanghvi MM; Zemrak F; Fung K; Paiva JM; Carapella V; Kim YJ; Suzuki H; Kainz B; Matthews PM; Petersen SE; Piechnik SK; Neubauer S; Glocker B; Rueckert D
J Cardiovasc Magn Reson; 2018 Sep; 20(1):65. PubMed ID: 30217194
[TBL] [Abstract][Full Text] [Related]
7. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
[TBL] [Abstract][Full Text] [Related]
8. Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture.
Qin W; Wu Y; Li S; Chen Y; Yang Y; Liu X; Zheng H; Liang D; Hu Z
Biomed Phys Eng Express; 2020 Feb; 6(2):025009. PubMed ID: 33438635
[TBL] [Abstract][Full Text] [Related]
9. Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.
Penso M; Moccia S; Scafuri S; Muscogiuri G; Pontone G; Pepi M; Caiani EG
Comput Methods Programs Biomed; 2021 Jun; 204():106059. PubMed ID: 33812305
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
[TBL] [Abstract][Full Text] [Related]
12. A distance map regularized CNN for cardiac cine MR image segmentation.
Dangi S; Linte CA; Yaniv Z
Med Phys; 2019 Dec; 46(12):5637-5651. PubMed ID: 31598971
[TBL] [Abstract][Full Text] [Related]
13. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
Gao K; Niu S; Ji Z; Wu M; Chen Q; Xu R; Yuan S; Fan W; Chen Y; Dong J
Comput Methods Programs Biomed; 2019 Jul; 176():69-80. PubMed ID: 31200913
[TBL] [Abstract][Full Text] [Related]
14. 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Li X; Dou Q; Chen H; Fu CW; Qi X; Belavý DL; Armbrecht G; Felsenberg D; Zheng G; Heng PA
Med Image Anal; 2018 Apr; 45():41-54. PubMed ID: 29414435
[TBL] [Abstract][Full Text] [Related]
15. Automatic left ventricle segmentation from cardiac magnetic resonance images using a capsule network.
He Y; Qin W; Wu Y; Zhang M; Yang Y; Liu X; Zheng H; Liang D; Hu Z
J Xray Sci Technol; 2020; 28(3):541-553. PubMed ID: 32176675
[TBL] [Abstract][Full Text] [Related]
16. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Fully Automatic initialization and segmentation of left and right ventricles for large-scale cardiac MRI using a deeply supervised network and 3D-ASM.
Hu H; Pan N; Frangi AF
Comput Methods Programs Biomed; 2023 Oct; 240():107679. PubMed ID: 37364366
[TBL] [Abstract][Full Text] [Related]
19. Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation.
Sugino T; Roth HR; Oda M; Kin T; Saito N; Nakajima Y; Mori K
Med Phys; 2021 Nov; 48(11):7215-7227. PubMed ID: 34453333
[TBL] [Abstract][Full Text] [Related]
20. Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network.
Pal A; Garain U; Chandra A; Chatterjee R; Senapati S
Comput Methods Programs Biomed; 2018 Jun; 159():59-69. PubMed ID: 29650319
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]