404 related articles for article (PubMed ID: 31671341)
1. Automatic myocardial segmentation in dynamic contrast enhanced perfusion MRI using Monte Carlo dropout in an encoder-decoder convolutional neural network.
Kim YC; Kim KR; Choe YH
Comput Methods Programs Biomed; 2020 Mar; 185():105150. PubMed ID: 31671341
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Evaluation of fully automated myocardial segmentation techniques in native and contrast-enhanced T1-mapping cardiovascular magnetic resonance images using fully convolutional neural networks.
Farrag NA; Lochbihler A; White JA; Ukwatta E
Med Phys; 2021 Jan; 48(1):215-226. PubMed ID: 33131085
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
7. Automatic calculation of myocardial perfusion reserve using deep learning with uncertainty quantification.
Kim YC; Kim K; Choe YH
Quant Imaging Med Surg; 2023 Dec; 13(12):7936-7949. PubMed ID: 38106294
[TBL] [Abstract][Full Text] [Related]
8. Impact of late gadolinium enhancement image acquisition resolution on neural network based automatic scar segmentation.
Hoh T; Margolis I; Weine J; Joyce T; Manka R; Weisskopf M; Cesarovic N; Fuetterer M; Kozerke S
J Cardiovasc Magn Reson; 2024 Summer; 26(1):101031. PubMed ID: 38431078
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Reliable segmentation of 2D cardiac magnetic resonance perfusion image sequences using time as the 3rd dimension.
Sandfort V; Jacobs M; Arai AE; Hsu LY
Eur Radiol; 2021 Jun; 31(6):3941-3950. PubMed ID: 33247342
[TBL] [Abstract][Full Text] [Related]
11. Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics.
Klepaczko A; Eikefjord E; Lundervold A
Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695931
[TBL] [Abstract][Full Text] [Related]
12. SAUN: Stack attention U-Net for left ventricle segmentation from cardiac cine magnetic resonance imaging.
Sun X; Garg P; Plein S; van der Geest RJ
Med Phys; 2021 Apr; 48(4):1750-1763. PubMed ID: 33544895
[TBL] [Abstract][Full Text] [Related]
13. Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT.
Bruns S; Wolterink JM; Takx RAP; van Hamersvelt RW; Suchá D; Viergever MA; Leiner T; Išgum I
Med Phys; 2020 Oct; 47(10):5048-5060. PubMed ID: 32786071
[TBL] [Abstract][Full Text] [Related]
14. Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer.
Arega TW; Bricq S; Legrand F; Jacquier A; Lalande A; Meriaudeau F
Med Image Anal; 2023 May; 86():102773. PubMed ID: 36827870
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.
Ghadimi S; Auger DA; Feng X; Sun C; Meyer CH; Bilchick KC; Cao JJ; Scott AD; Oshinski JN; Ennis DB; Epstein FH
J Cardiovasc Magn Reson; 2021 Mar; 23(1):20. PubMed ID: 33691739
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.
Kim YC; Lee JE; Yu I; Song HN; Baek IY; Seong JK; Jeong HG; Kim BJ; Nam HS; Chung JW; Bang OY; Kim GM; Seo WK
Stroke; 2019 Jun; 50(6):1444-1451. PubMed ID: 31092169
[TBL] [Abstract][Full Text] [Related]
18. Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks.
Barbaroux H; Kunze KP; Neji R; Nazir MS; Pennell DJ; Nielles-Vallespin S; Scott AD; Young AA
J Cardiovasc Magn Reson; 2023 Mar; 25(1):16. PubMed ID: 36991474
[TBL] [Abstract][Full Text] [Related]
19. Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI.
Jiao H; Jiang X; Pang Z; Lin X; Huang Y; Li L
Comput Math Methods Med; 2020; 2020():2413706. PubMed ID: 32454879
[TBL] [Abstract][Full Text] [Related]
20. Mutual enhancing learning-based automatic segmentation of CT cardiac substructure.
Momin S; Lei Y; McCall NS; Zhang J; Roper J; Harms J; Tian S; Lloyd MS; Liu T; Bradley JD; Higgins K; Yang X
Phys Med Biol; 2022 May; 67(10):. PubMed ID: 35447610
[No Abstract] [Full Text] [Related]
[Next] [New Search]
