E-LIB Suche - Ergebnisse für: Ogbomo-Harmitt, Shaheim

1

Effects of Fibrotic Border Zone on Drivers for Atrial Fibri..:

, In: Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers; Lecture Notes in Computer Science,

Ogbomo-Harmitt, Shaheim ; Obada, George ; Vandersickel, Nele.. - p. 174-185 , 2024

Link: https://doi.org/10.1007/..

2

Modelling Blood Flow and Biochemical Reactions Underlying T..:

, In: Functional Imaging and Modeling of the Heart; Lecture Notes in Computer Science,

Qureshi, Ahmed ; Balmus, Maximilian ; Ogbomo-Harmitt, Shaheim... - p. 435-444 , 2023

Link: https://doi.org/10.1007/..

3

TESSLA: Two-Stage Ensemble Scar Segmentation for the Left A..:

, In: Lecture Notes in Computer Science; Left Atrial and Scar Quantification and Segmentation,

Ogbomo-Harmitt, Shaheim ; Grzelak, Jakub ; Qureshi, Ahmed.. - p. 106-114 , 2023

Link: https://doi.org/10.1007/..

4

Exploring interpretability in deep learning prediction of s..:

Ogbomo-Harmitt, Shaheim ; Muffoletto, Marica ; Zeidan, Aya...
Frontiers in Physiology. 14 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

5

Impact of Fibrosis Border Zone Characterisation on Fibrosis..:

, In: 2022 Computing in Cardiology (CinC),

Ogbomo-Harmitt, Shaheim ; Qureshi, Ahmed ; King, Andrew. - p. 1-4 , 2022

Link: https://doi.org/10.22489..

6

Physics-Informed Fully Connected and Recurrent Neural Netwo..:

, In: 2022 Computing in Cardiology (CinC),

Nazarov, Iulia ; Olakorede, Ihsane ; Qureshi, Ahmed.. - p. 1-4 , 2022

Link: https://doi.org/10.22489..

7

Exploring interpretability in deep learning prediction of s..:

Ogbomo-Harmitt, Shaheim ; Muffoletto, Marica ; Zeidan, Aya...
Ogbomo-Harmitt , S , Muffoletto , M , Zeidan , A , Qureshi , A , King , A & Aslanidi , O 2023 , ' Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation ' , Frontiers in Physiology , vol. 14 , no. 1054401 , 1054401 . https://doi.org/10.3389/fphys.2023.1054401. , 2023

Link: https://kclpure.kcl.ac.u..

8

Exploring interpretability in deep learning prediction of s..:

Ogbomo-Harmitt, Shaheim ; Muffoletto, Marica ; Zeidan, Aya...
Ogbomo-Harmitt , S , Muffoletto , M , Zeidan , A , Qureshi , A , King , A & Aslanidi , O 2023 , ' Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation ' , Frontiers in Physiology , vol. 14 , no. 1054401 , 1054401 . https://doi.org/10.3389/fphys.2023.1054401. , 2023

Link: https://kclpure.kcl.ac.u..

9

Exploring interpretability in deep learning prediction of s..:

Ogbomo-Harmitt, Shaheim ; Muffoletto, Marica ; Zeidan, Aya...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043207/. , 2023

Link: http://www.ncbi.nlm.nih...

10

Physics-informed Fully Connected and Recurrent Neural Netwo..:

Nazarov, Iulia ; Olakorede, Ihsane ; Qureshi, Ahmed..
Nazarov , I , Olakorede , I , Qureshi , A , Ogbomo-Harmitt , S & Aslanidi , O 2022 , Physics-informed Fully Connected and Recurrent Neural Networks for Cardiac Electrophysiology Modelling . in 2022 Computing in Cardiology . vol. 49 , IEEE Computer Society . https://doi.org/10.22489/CinC.2022.188. , 2022

Link: https://kclpure.kcl.ac.u..

11

DataSheet2_Exploring interpretability in deep learning pred..:

Shaheim Ogbomo-Harmitt ; Marica Muffoletto ; Aya Zeidan...
doi:10.3389/fphys.2023.1054401.s002. , 2023

Link: https://doi.org/10.3389/..

12

Exploring interpretability in deep learning prediction of s..:

Shaheim Ogbomo-Harmitt ; Marica Muffoletto ; Aya Zeidan...
https://www.frontiersin.org/articles/10.3389/fphys.2023.1054401/full. , 2023

Link: https://doi.org/10.3389/..

13

DataSheet1_Exploring interpretability in deep learning pred..:

Shaheim Ogbomo-Harmitt ; Marica Muffoletto ; Aya Zeidan...
doi:10.3389/fphys.2023.1054401.s001. , 2023

Link: https://doi.org/10.3389/..