Fernando López-Mir

Fernando López-Mir
Universitat Politècnica de València | UPV · Institute for Research and Innovation in Bioengineering (i3B)

Doctor of Engineering

About

34
Publications
3,041
Reads
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267
Citations
Introduction
Fernando Lopez Mir is a telecommunications engineer since 2008. He holds Ph.D. on Technologies for Health and Welfareabout. His general research interests hover around the signal processing techniques of biosignals. Towards this end, he’s been involved in projects related to neuroimaging, clinical psychology and neurodevelopmental disorders.
Additional affiliations
April 2009 - present
Instituto de Investigación e Innovación en Bioingeniería
Position
  • R&D Manager
Education
September 2008 - July 2013
University of Valencia
Field of study
  • Bussines administration and managment
September 2001 - February 2008
Universitat Politècnica de València
Field of study
  • telecommunication engineering

Publications

Publications (34)
Preprint
Full-text available
Worldwide, prostate cancer is one of the main cancers affecting men. The final diagnosis of prostate cancer is based on the visual detection of Gleason patterns in prostate biopsy by pathologists. Computer-aided-diagnosis systems allow to delineate and classify the cancerous patterns in the tissue via computer-vision algorithms in order to support...
Article
Background and objective This paper presents BRAIM, a computer-aided diagnosis (CAD) system to help clinicians in diagnosing and treatment monitoring of brain diseases from magnetic resonance image processing. BRAIM can be used for early diagnosis of neurodegenerative diseases such as Parkinson, Alzheimer or Multiple Sclerosis and also for brain le...
Article
Nowadays, different methods are being published for the segmentation of the liver but, in general, most of them are not suitable for clinical practice due to several inconveniences as high computational cost, excessive user dependence or low accuracy. The purpose of this paper is to present the performance and validation of a liver segmentation met...
Conference Paper
Full-text available
The initial diagnosis of intracranial neoplasms is based on determining their location or apparent extension by imaging techniques although the final diagnosis is anatomopathological. Once the etiology is established and the treatment is planned, evolutionary controls by image analysis are performed. Nowadays, lesion evaluation is carried out measu...
Article
The hepatocellular carcinoma is the most common cause of liver cancer. Surgery is the most effective treatment for this disease and liver transplantation or resection obtains good results in a high percentage of cases. The diagnosis and monitoring of this type of pathologies are often done with CT images or MRI taking advantage of clinician experie...
Conference Paper
This paper describes an application of variational image registration. The method is based on an efficient implementation of the diffusion registration formulated in the frequency domain. The goal is to register anatomical and functional brain images of the same patient to facilitate the process of functional localization. This non-rigid image regi...
Conference Paper
Full-text available
In this work, different combinations of dissimilarity coefficients and clustering algorithms are compared in order to separate FTIR data in different classes. For this purpose, a dataset of eighty five spectra of four types of sample cells acquired with two different protocols are used (fixed and unfixed). Five dissimilarity coefficients were asses...
Conference Paper
In this paper, a probability density function of object contours based on the stochastic watershed transform is carried out. The watershed transform produces an over-segmentation of the image due to noise, illumination problems, low contrast, etc., because each regional minimum of the image gives place to a region in the output image. To solve this...
Conference Paper
This paper describes a new approach to determine vascular skeleton in retinal images. This approach is based on mathematical morphology along with curvature evaluation. In particular, a variant of the watershed transformation, the stochastic watershed, is applied to extract the vessel centerline. Its goal is to obtain directly the skeleton of the r...
Article
The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of different algorithms to identify vessels in thoracic computed tomography (CT) scans. Vessel segmentation is fundamental in computer aided processing of data generated by 3D imaging modalities. As manual vessel segmentation is prohibitively time consumin...
Conference Paper
INTRODUCCIÓN: La actividad neo-angiogénica ha sido propuesta como factor predictivo de progresión en el cáncer vesical (CaV) no invasivo. Macroscópicamente, se refleja en un aumento de la red vascular en la mucosa vesical. OBJETIVOS: Desarrollo de sistema de análisis de imagen digital para cuantificar objetivamente el grado de vascularización de...
Conference Paper
This paper presents a system for detecting mor-phometric properties of bladder mucosa images obtained with a cystoscope. These properties are calculated for obtaining information about the probability of tumour recurrence. For this purpose, illumination problems of these images have been corrected to apply a vessels segmentation algorithm. Finally,...
Conference Paper
The analysis of retinal blood vessels provides useful information for medical diagnosis of several diseases such as cardiovascular risk or diabetic and hypertensive retinopathy. These diseases affect retinal vessels so that an abnormal calibre of veins or arteries could indicate the presence of some of them. So, before analysing vessel calibres, it...
Conference Paper
This paper presents a comparison between different image registration approaches to register infrared (IR) and hematoxylin and eosin (H&E) stained images. This registration will be needed as the first step of a new process based on mid-IR images, that will help clinicians in cancer early diagnosis, providing them with more information about the tis...
Article
There are few fully automated methods for liver segmentation in magnetic resonance images (MRI) despite the benefits of this type of acquisition in comparison to other radiology techniques such as computed tomography (CT). Motivated by medical requirements, liver segmentation in MRI has been carried out. For this purpose, we present a new method fo...
Article
Full-text available
Purpose: This work presents the protocol carried out in the development and validation of an augmented reality system which was installed in an operating theatre to help surgeons with trocar placement during laparoscopic surgery. The purpose of this validation is to demonstrate the improvements that this system can provide to the field of medicine...
Conference Paper
From a fundus image, the system proposed in this paper automatically detects retinal vessels and measures some geometrical properties on them such as diameter and bifurcation angles. Its goal is to establish objective relations between different vessels, thus being able to determine cardiovascular risk or other diseases, as well as to monitor their...
Conference Paper
In this paper an automated method for volume contouring in PET images is presented. It is a slice-by-slice approach based on marker-controlled watershed segmentation applied to gradient image. A preprocessing step, based on geodesic transformations, is proposed to get a well defined boundary gradient of the region to be segmented (the tumour in our...
Article
The success of oral surgery is subject to accurate advanced planning. In order to properly plan for dental surgery or a suitable implant placement, it is necessary an accurate segmentation of the jaw tissues: the teeth, the cortical bone, the trabecular core and over all, the inferior alveolar nerve. This manuscript presents a new automatic method...
Conference Paper
This paper describes the image registration block developed in the hepatic planner HepaPlan. The proposed method is intended to support clinical decisions about treatment of liver pathologies. The initial stage is the segmentation of the liver tissue as well as its internal structures and tumours in contrast-enhanced CT volumes. The second stage is...
Conference Paper
This paper presents an algorithm for a D segmentation of the aorta artery in magnetic resonance images (MRI). The purpose is to project the 3D segmented aorta in the patient's abdomen with an augmented reality (AR) system to help the surgeon in laparoscopic interventions. In order to obtain accurate results in the segmentation process a marker-cont...
Article
Full-text available
Most dental implant planning systems use a 3D representation of the CT scan of the patient under study as it provides a more intuitive view of the human jaw. The presence of metallic objects in human jaws, such as amalgam or gold fillings, provokes several artifacts like streaking and beam hardening which makes the reconstruction process difficult....
Conference Paper
This work presents the performance and validation of an augmented reality (AR) system to help the surgeon for trocar placement in laparoscopic surgery. The virtual organs are obtained by taking previous computed tomography (CT) or magnetic resonance (MR) images of the patient and by applying segmentation methods. Once in the operating theater, a re...
Article
In this paper, a procedure to experimentally simulate the behavior of the liver when the pneumoperitoneum technique is applied in laparoscopic surgery is presented, as well as methodology to make the comparison of each sample before and after insufflating the gas. This comparison is carried out using the 3D reconstruction of the volume from the CT...

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Projects

Projects (7)
Archived project
Taking advantage of several new breakthroughs in photonic technology to develop a new mid-IR technology platform and processes for early detection of cancer.
Project
El objetivo del proyecto iMove se centra en utilizar las sinergias y complementariedades de estas tecnologías y paradigmas tecnológicos, para desarrollar un sistema de recomendación en tiempo real de contenidos dinámicos a través de notificaciones push, basado en el contexto del usuario en movilidad y sus redes sociales, de tal forma que se reduzca la interacción humana con el dispositivo móvil y se mejore la experiencia de usuario, favoreciendo así la efectividad de las propias recomendaciones.
Project
CLARIFY proposes creating a research infrastructure based on artificial intelligence and cloud‐oriented data algorithms that facilitates WSI interpretation and diagnosis everywhere through novel tools as a paradigm shift in the pathology field with the aim of maximising the benefits of digital pathology and aiding pathologists in their daily work.