Jorge Mariscal-Harana

Jorge Mariscal-Harana
King's College London | KCL · Department of Biomedical Engineering

Doctor of Engineering

About

23
Publications
2,976
Reads
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102
Citations
Introduction
Jorge Mariscal Harana works at the Department of Biomedical Engineering, King's College London. He does research in Biomedical Engineering, focusing on deep learning for automatic cardiac image analysis. Jorge also works as a Research Engineer at the Software and AI unit at FADA-CATEC, focusing on deep learning methods for autonomous drone navigation.
Skills and Expertise
Additional affiliations
October 2016 - September 2019
King's College London
Position
  • PhD Student

Publications

Publications (23)
Article
Full-text available
Background Artificial intelligence (AI) techniques have been proposed for automation of cine CMR segmentation for functional quantification. However, in other applications AI models have been shown to have potential for sex and/or racial bias. The objective of this paper is to perform the first analysis of sex/racial bias in AI-based cine CMR segme...
Chapter
Current artificial intelligence (AI) algorithms for short-axis cardiac magnetic resonance (CMR) segmentation achieve human performance for slices situated in the middle of the heart. However, an often-overlooked fact is that segmentation of the basal and apical slices is more difficult. During manual analysis, differences in the basal segmentations...
Article
Full-text available
Ventricular-vascular interaction is central in the adaptation to cardiovascular disease. However, cardiomyopathy patients are predominantly monitored using cardiac biomarkers. The aim of this study is therefore to explore aortic function in dilated cardiomyopathy (DCM). Fourteen idiopathic DCM patients and 16 controls underwent cardiac magnetic res...
Article
Full-text available
Objective: A novel method was presented to separate the central blood pressure wave (CBPW) into five components with different biophysical and temporal origins. It includes a time-varying emission coefficient () that quantifies pulse wave generation and reflection at the aortic root. Methods: The method was applied to normotensive subjects with...
Article
Background/Introduction Pressure-volume loops (PVloops) provide a wealth of information on cardiac function that is not readily available from cardiac imaging alone. Methods To estimate left ventricular (LV) PVloops non-invasively have been available, but have so far not been used to interrogate ventricular function in large patient cohorts, due t...
Preprint
Full-text available
Current artificial intelligence (AI) algorithms for short-axis cardiac magnetic resonance (CMR) segmentation achieve human performance for slices situated in the middle of the heart. However, an often-overlooked fact is that segmentation of the basal and apical slices is more difficult. During manual analysis, differences in the basal segmentations...
Preprint
Full-text available
Background Artificial intelligence (AI) techniques have been proposed for automation of cine CMR segmentation for functional quantification. However, in other applications AI models have been shown to have potential for sex and/or racial bias. Objectives To perform the first analysis of sex/racial bias in AI-based cine CMR segmentation using a lar...
Article
Background: Artificial intelligence (AI) has the potential to facilitate the automation of CMR analysis for biomarker extraction. However, most AI algorithms are trained on a specific input domain (e.g., scanner vendor or hospital-tailored imaging protocol) and lack the robustness to perform optimally when applied to CMR data from other input domai...
Article
Full-text available
For the Remotely Piloted Aircraft Systems (RPAS) market to continue its current growth rate, cost-effective ‘Detect and Avoid’ systems that enable safe beyond visual line of sight (BVLOS) operations are critical. We propose an audio-based ‘Detect and Avoid’ system, composed of microphones and an embedded computer, which performs real-time inference...
Preprint
For the Remotely Piloted Aircraft Systems (RPAS) market to continue its current growth rate, cost-effective "Detect and Avoid" systems that enable safe beyond visual line of sight (BVLOS) operations are critical. We propose an audio-based "Detect and Avoid" system, composed of microphones and an embedded computer, which performs real-time inference...
Article
Full-text available
Central blood pressure (cBP) is a highly prognostic cardiovascular (CV) risk factor whose accurate, invasive assessment is costly and carries risks to patients. We developed and assessed novel algorithms for estimating cBP from non-invasive aortic haemodynamic data and a peripheral BP measurement. These algorithms were created using three blood flo...
Preprint
For the Remotely Piloted Aircraft Systems (RPAS) market to continue its current growth rate, cost-effective "Detect and Avoid" systems which enable safe beyond visual line of sight (BVLOS) operations are critical. We propose an audio-based "Detect and Avoid" system, composed of microphones and an embedded computer, which performs real-time inferenc...
Article
Full-text available
The influence of arterial and ventricular parameters on the main fiducial pressure points and index during systole has been investigated using a mix of in silico and in vivo data. Notably, an index, QIx, based entirely on ventricular ejection patterns has been developed and its potential in describing the augmentation pressure index, AIx, has been...
Article
Full-text available
Aortic tapering is a known characteristic of the arterial tree affecting the development of pressure in the aorta. With tapering, the cross-sectional area of vessels decreases moving towards the periphery causing reflections to travel back to the heart. The reflection waves present in the aorta are an amalgamation of reflections from tapering, bifu...
Article
Full-text available
The angle of arterial tapering increases with aging, and the geometrical changes of the aorta may cause an increase in central arterial pressure and stiffness. The impact of tapering has been largely studied using frequency‐domain transmission line theories. In this work, we revisit the problem of tapering and investigate its effect on blood pressu...
Article
Full-text available
The arterial pulse wave (PW) is a rich source of information on cardiovascular (CV) health. It is widely measured by both consumer and clinical devices. However, the physical determinants of the PW are not yet fully understood, and the development of PW analysis algorithms is limited by a lack of PW datasets containing reference CV measurements. Ou...
Article
Full-text available
As computational models of the cardiovascular system are applied in modern personalized medicine, maximizing certainty of model input becomes crucial. A model with a high number of arterial segments results in a more realistic description of the system, but also requires a high number of parameters with associated uncertainties. In this paper, we p...
Data
Supplementary material for optimization of complexity for arterial blood flow models
Preprint
Full-text available
Accepted abstract submission for the American Heart Association's 2017 Scientific Sessions and Resuscitation Science Symposium. Title: Validation of non-invasive MRI-based assessment of central blood pressure in a population of repaired coarctation patients
Conference Paper
Full-text available
Non-invasive assessment of haemodynamic data, such as pressure and flow profiles, is helpful in detecting cardiac disease at an early stage. However, current methods lack spatial accuracy and do not take local variations into account. This paper presents a software tool that extracts the arterial geometry and blood inflow profiles from MR images, w...

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Projects

Project (1)
Project
We are trying to obtain an accurate estimate of aortic blood pressure using 0-D/1-D computational modelling applied to clinical data.