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Ricardo Gonzales

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Lund University

Sweden

Research Interests

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Professors in Sweden Professors in Medical Imaging Medical Imaging professors in Sweden

Recent Grants

Grant: Close

Development of MR-derived parameters of LV diastolic function: Validation and Comparison to LV and LA fibrosis

Open Date: 2019-01-01

Close Date: 2022-12-31

Grant: Close

Patient-specific predictive cardiovascular modelling

Open Date: 2018-01-01

Close Date: 2021-12-31

Grant: Close

Detection of Atrial Remodeling by MRI: Validation and Emerging Significance

Open Date: 2014-11-18

Close Date: 2020-10-31

Grant: Close

Analysis of diffuse fibrosis with T1 mapping in the CMR in Hypertrophic Cardiomyopathy (HCMR) Study

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Articles (22)

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2020

Collaborators (6)

Stefan Neubauer

University of Oxford

UNITED KINGDOM

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Stefan K. Piechnik

Head of Advaned Cardiovascular Image Analysis, OCMR

University of Oxford

UNITED KINGDOM

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Merel Huisman

Radiologist

Radboud University Medical Center

NETHERLANDS

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Seong Ho Park

University of Ulsan College of Medicine

SOUTH KOREA

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Qiang Zhang

Associate Professor of AI in Cardiovascular Imaging

University of Oxford

UNITED KINGDOM

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Michail Klontzas

Assistant Professor of Radiology - Oncological Imaging

University of Crete

GREECE

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Ricardo Gonzales

Research Interests

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Recent Grants

Articles (22)

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): Explanation, Elaboration, and Examples

Myocardial Scar Assessment Using Artificial Intelligence-Powered Contrast-Free MRI

Metrics for Artificial Intelligence in Medicine: A Reference Resource

ROADMAP: An Ontology of Medical AI Models and Datasets

Differentiating ischemic from healthy myocardium using cardiovascular magnetic resonance dipyridamole rest and stress T1 mapping

Advancements in glioma segmentation: comparing the U-Net and DeconvNet models

Deep learning-based measurement of isovolumic relaxation time from cardiovascular magnetic resonance long-axis cines: Validation with pressure-derived IVRT

Effects of data amount and variation in deep learning-based tuberculosis diagnosis in chest X-ray scans

Effects of software on myocardial T1 measurements: A 3 T multicentre single vendor phantom study

Highlights of the Society for Cardiovascular Magnetic Resonance 2025 conference: Leading the way to accessible, efficient, and sustainable cardiovascular magnetic resonance

Highlights of the Society for Cardiovascular Magnetic Resonance 2025 conference: Leading the way to accessible, efficient, and sustainable cardiovascular magnetic resonance

Lung cancer AI-based diagnosis through multi-modal integration of clinical and imaging data

dT1 maps: A novel approach for visualising myocardial stress without gadolinium-based contrast agents

Automated CMR Index of Left Ventricular Diastolic Function (e’): A Validation Study Against Echocardiography in the Large-scale beta3-lvh Trial

Automated CMR Index of Left Ventricular Diastolic Function Post-acute Myocardial Infarction Provides Independent and Incremental Prediction of Long-term Prognosis When Added to Conventional Indices

Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning–Based Virtual Native Enhancement

TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function

MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping

Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours

MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

Valvular imaging in the era of feature-tracking: A slice-following cardiac MR sequence to measure mitral flow

Collaborators (6)

Stefan Neubauer

Stefan K. Piechnik

Merel Huisman

Seong Ho Park

Qiang Zhang

Michail Klontzas

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