Julià Camps

Orcid: 0000-0002-6491-2565

According to our database1, Julià Camps authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cardiac Digital Twin Pipeline for Virtual Therapy Evaluation.
CoRR, 2024

2023
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.
CoRR, 2023

Deep Learning-Based Emulation of Human Cardiac Activation Sequences.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

Influence of Myocardial Infarction on QRS Properties: A Simulation Study.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022
Deep Computational Model for the Inference of Ventricular Activation Properties.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Electrocardiogram Analysis Reveals Ionic Current Dysregulation Relevant for Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022

Inference of Number and Location of Purkinje Root Nodes and Ventricular Conduction Properties from Clinical 12-Lead ECGs for Cardiac Digital Twinning.
Proceedings of the Computing in Cardiology, 2022

2021
Inference of ventricular activation properties from non-invasive electrocardiography.
Medical Image Anal., 2021

Inference of Ventricular Activation Properties from Twelve-lead Electrocardiogram.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2018
Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit.
Knowl. Based Syst., 2018

ConvNet based QRS multilead delineator in electrocardiogram signals.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Deep Learning Based QRS Multilead Delineator in Electrocardiogram Signals.
Proceedings of the Computing in Cardiology, 2018

2017
Deep Learning for Detecting Freezing of Gait Episodes in Parkinson's Disease Based on Accelerometers.
Proceedings of the Advances in Computational Intelligence, 2017


  Loading...