Interpretable deep models for cardiac resynchronisation therapy response prediction

E Puyol-Antón, C Chen, JR Clough, B Ruijsink… - … Image Computing and …, 2020 - Springer
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …
被引用次数：39 相关文章

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

E Puyol-Antón, C Chen, JR Clough, B Ruijsink… - … Conference on Medical …, 2020 - dl.acm.org
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction.

E Puyol-Antón, C Chen, JR Clough… - … on Medical Image …, 2020 - europepmc.org
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

E Puyol-Antón, C Chen, JR Clough, B Ruijsink… - arXiv preprint arXiv …, 2020 - arxiv.org
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

E Puyol-Antón, C Chen, JR Clough, B Ruijsink… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …
[HTML] nih.gov

[HTML][HTML] Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

E Puyol-Antón, C Chen, JR Clough… - … image computing and …, 2020 - ncbi.nlm.nih.gov
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

E Puyol-Antón, C Chen, JR Clough… - … on Medical Image …, 2020 - pubmed.ncbi.nlm.nih.gov
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …

Interpretable deep models for cardiac resynchronisation therapy response prediction

E Puyol-Antón, C Chen, JR Clough… - … on Medical Image …, 2020 - kclpure.kcl.ac.uk
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …
[PDF] researchgate.net

[PDF][PDF] Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

E Puyol-Antón, C Chen, JR Clough… - arXiv preprint arXiv …, 2020 - researchgate.net
Advances in deep learning (DL) have resulted in impressive accuracy in some medical
image classification tasks, but often deep models lack interpretability. The ability of these …