106 related articles for article (PubMed ID: 38478452)
1. Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging.
Jiang X; Missel R; Toloubidokhti M; Gillette K; Prassl AJ; Plank G; Milan Horacek B; Sapp JL; Wang L
IEEE Trans Med Imaging; 2024 Mar; PP():. PubMed ID: 38478452
[TBL] [Abstract][Full Text] [Related]
2. Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences.
Jiang X; Toloubidokhti M; Bergquist J; Zenger B; Good WW; MacLeod RS; Wang L
IEEE Trans Med Imaging; 2023 Feb; 42(2):403-415. PubMed ID: 36306312
[TBL] [Abstract][Full Text] [Related]
3. Rapid 12-lead automated localization method: Comparison to electrocardiographic imaging (ECGI) in patient-specific geometry.
Zhou S; Horáček BM; Warren JW; AbdelWahab A; Sapp JL
J Electrocardiol; 2018; 51(6S):S92-S97. PubMed ID: 30177365
[TBL] [Abstract][Full Text] [Related]
4. ML and MAP estimation of parameters for the Kalman filter and smoother applied to electrocardiographic imaging.
Erenler T; Serinagaoglu Dogrusoz Y
Med Biol Eng Comput; 2019 Oct; 57(10):2093-2113. PubMed ID: 31363890
[TBL] [Abstract][Full Text] [Related]
5. Comparison of electrical dyssynchrony parameters between electrocardiographic imaging and a simulated ECG belt.
Elliott MK; Blauer J; Mehta VS; Sidhu BS; Gould J; Jackson T; Sieniewicz B; Niederer S; Ghosh S; Rinaldi CA
J Electrocardiol; 2021; 68():117-123. PubMed ID: 34416669
[TBL] [Abstract][Full Text] [Related]
6. Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory.
Aakur SN; Sarkar S
IEEE Trans Pattern Anal Mach Intell; 2023 Nov; 45(11):13185-13202. PubMed ID: 37339033
[TBL] [Abstract][Full Text] [Related]
7. ECG-Based Reconstruction of Heart Position and Orientation with Bayesian Optimization.
Coll-Font J; Ariafar S; Brooks DH
Comput Cardiol (2010); 2017 Sep; 44():. PubMed ID: 29930951
[TBL] [Abstract][Full Text] [Related]
8. Tracking the Position of the Heart From Body Surface Potential Maps and Electrograms.
Coll-Font J; Brooks DH
Front Physiol; 2018; 9():1727. PubMed ID: 30559678
[TBL] [Abstract][Full Text] [Related]
9. In Vivo Validation of Electrocardiographic Imaging.
Cluitmans MJM; Bonizzi P; Karel JMH; Das M; Kietselaer BLJH; de Jong MMJ; Prinzen FW; Peeters RLM; Westra RL; Volders PGA
JACC Clin Electrophysiol; 2017 Mar; 3(3):232-242. PubMed ID: 29759517
[TBL] [Abstract][Full Text] [Related]
10. Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes.
Dar SUH; Öztürk Ş; Özbey M; Oguz KK; Çukur T
Comput Biol Med; 2023 Dec; 167():107610. PubMed ID: 37883853
[TBL] [Abstract][Full Text] [Related]
11. Unsupervised knowledge-transfer for learned image reconstruction.
Barbano R; Kereta Ž; Hauptmann A; Arridge SR; Jin B
Inverse Probl; 2022 Oct; 38(10):104004. PubMed ID: 37745782
[TBL] [Abstract][Full Text] [Related]
12. Optical Imaging of Ventricular Action Potentials in a Torso Tank: A New Platform for Non-Invasive Electrocardiographic Imaging Validation.
Bear LR; Walton RD; Abell E; Coudière Y; Haissaguerre M; Bernus O; Dubois R
Front Physiol; 2019; 10():146. PubMed ID: 30863318
[No Abstract] [Full Text] [Related]
13. Deep learning formulation of electrocardiographic imaging integrating image and signal information with data-driven regularization.
Bacoyannis T; Ly B; Cedilnik N; Cochet H; Sermesant M
Europace; 2021 Mar; 23(23 Suppl 1):i55-i62. PubMed ID: 33751073
[TBL] [Abstract][Full Text] [Related]
14. Structure Guided Deep Neural Network for Unsupervised Active Learning.
Li C; Ma H; Yuan Y; Wang G; Xu D
IEEE Trans Image Process; 2022; 31():2767-2781. PubMed ID: 35344492
[TBL] [Abstract][Full Text] [Related]
15. Novel non-invasive ECG imaging method based on the 12-lead ECG for reconstruction of ventricular activation: A proof-of-concept study.
Fruelund PZ; Van Dam PM; Melgaard J; Sommer A; Lundbye-Christensen S; Søgaard P; Zaremba T; Graff C; Riahi S
Front Cardiovasc Med; 2023; 10():1087568. PubMed ID: 36818351
[TBL] [Abstract][Full Text] [Related]
16. In silico validation of electrocardiographic imaging to reconstruct the endocardial and epicardial repolarization pattern using the equivalent dipole layer source model.
van der Waal J; Meijborg V; Schuler S; Coronel R; Oostendorp T
Med Biol Eng Comput; 2020 Aug; 58(8):1739-1749. PubMed ID: 32474796
[TBL] [Abstract][Full Text] [Related]
17. Effects of Heart Rate and Ventricular Wall Thickness on Non-invasive Mapping: An
Perez Alday EA; Whittaker DG; Benson AP; Colman MA
Front Physiol; 2019; 10():308. PubMed ID: 31024330
[No Abstract] [Full Text] [Related]
18. Learning low-dose CT degradation from unpaired data with flow-based model.
Liu X; Liang X; Deng L; Tan S; Xie Y
Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
[TBL] [Abstract][Full Text] [Related]
19. Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies.
Kaandorp MPT; Zijlstra F; Federau C; While PT
Magn Reson Med; 2023 Jul; 90(1):312-328. PubMed ID: 36912473
[TBL] [Abstract][Full Text] [Related]
20. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
Enguehard J; O'Halloran P; Gholipour A
IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]