News

  • LPI at ISBI 2016 (Prague)

    [18 Apr 2016]

    The LPI was present in 2016 IEEE International Symposium on Biomedical Imaging (ISBI), hold last April at Prague. ISBI is a joint initiative of the IEEE Signal Processing Society (SPS) and IEEE Engineering in Medicine and Biology Society (EMBS).  Four communication were sent to the conference, all of the presented in oral sessions.

  • New paper published

    The paper entitled "Jacobian Weighted Temporal Total Variation for Motion Compensated Compressed Sensing Reconstruction of Dynamic MRI" has been accepted for publication at Magnetic Resonance in Medicine and it is currently in press.

  • Thesis associated to the "2015 Jack Perkins Prize" has been defended

    The thesis "Machine Learning and Stochastic Modelling Approaches for Biomedical Signal Analysis", authored by Diego Martín-Martínez and supervised by Juan Pablo Casaseca and Carlos Alberola-López has been recently defended. We thank all the member of the committee, specially Dr. Savino, Dr McClean and Dr. Laguna for finding room in their tights agendas for this event. More information about the thesis in this link.

  • Evaluación muy positiva del proyecto TEC2010-17982

    El proyecto de investigación PROCESADO, ANALISIS Y REPRESENTACION DE IMAGENES DE DIFUSION. CUANTIFICACION DE LA REPARACION NEURONAL TRAS INFARTO, TRATAMIENTO DEL TDAH Y EVALUACION DE TUMORES CEREBRALES, con referencia TEC2010-17982, financiado por el Ministerio de Economía y Competitividad y finalizado en diciembre de 2013, acaba de recibir la evaluación del informe de seguimiento científico-técnico por parte del ministerio con la calificación de MUY SATISFACTORIO.

  • LPI at the CASEIB 2015

    Javier Royuela presenting his contribution

    The LPI has taken part on the 33rd Conference of the Spanish Society of Biomedical Engineering (CASEIB2015), held in Madrid the 4th, 5th and 6th of November 2015. Three oral communications on the field of cardiac magnetic resonance processing were presented:

  • Study on the impact of the MR acquisition parameters over DTI scalars

    Tractograpy reconstruction from DTI

    A new article on the effect that Acquisition Parameters over DTI scalars has been published on the open-source journal PLOS One: "Impact of MR Acquisition Parameters on DTI Scalar Indexes: A Tractography Based Approach". This study presents an analysis on the impact of simultaneous changes in multiple parameters: number of gradient directions, b-value and voxel resolution over scalar measures such as the Fractional Anisotropy (FA) or the Mean Diffusivity (MD) . We employ a tractography-based approach.

  • 2015 Jack Perkins Prize

    The 2015 Jack Perkins Prize for the best paper in the journal Medical Physics and Engineering has been awarded to the 2014 paper entitled "Automatic detection of wakefulness and rest intervals in actigraphic signals: A data driven approach" co--authored by Diego Martín-Martínez (former PhD student at LPI and currently at Ernst and Young), Pablo Casaseca-de-la-Higuera (currently at the University of West Scotland at Paisley), the physicians Jesús Andrés-de-Llano, J.R. Garmendia and Susana Alberola-López, and by Carlos Alberola-López, professor at the University of Valladolid.

  • Premio Jack Perkins 2015 a un artículo sobre el diagnóstico de TDAH

    Un artículo científico- cuyos autores son el doctorando Diego Martín-Martínez y los profesores de la UVA Carlos Alberola López y Pablo Casaseca de la Higuera, además de los médicos pediatras Jesús Andrés de Llano, Garmendia y Susana Alberola López- ha recibido el Jack Perkins Prize 2015 al mejor artículo científico concedido por el Institute of Physics and Engineering in Medicine del Reino Unido.

  • Phd thesis defended

    Ariel H. Curiale, student with the LPI, has successfully presented his PhD thesis last Friday (July 24, 2015). The work was entitled "Contributions to assessment of cardiac failures by echocardiography image processing". His work focuses on the analysis and processing of 3D echocardiographic imaging, being its aim to provide technical support to accurately assess different myocardial failures from ultrasound data of the heart. Results provided are sought to be robust, independent of the intra- and inter-observer variability common in radiological interpretation.

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