Publications (16) GERMAN GONZALEZ SERRANO publications View referenced research data.

filter_list Computer Vision and Pattern Recognition

2021

  1. Convolutional neural networks in advanced biomedical imaging applications

    Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications (Springer International Publishing), pp. 197-236

2020

  1. Biomarker Localization from Deep Learning Regression Networks

    IEEE Transactions on Medical Imaging, Vol. 39, Núm. 6, pp. 2121-2132

  2. Computer aided detection of pulmonary embolism using multi-slice multi-axial segmentation

    Applied Sciences (Switzerland), Vol. 10, Núm. 8

2019

  1. Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets

    BioEssays, Vol. 41, Núm. 6

  2. Localizing image-based biomarker regression without training masks: A new approach to biomarker discovery

    Proceedings - International Symposium on Biomedical Imaging

2018

  1. Automated Agatston score computation in non-ECG gated CT scans using deep learning

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  2. Deep learning for biomarker regression: Application to osteoporosis and emphysema on chest CT scans

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  3. Multi-structure segmentation from partially labeled datasets. Application to body composition measurements on CT scans

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Multiorgan structures detection using deep convolutional neural networks

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  5. On the relevance of the loss function in the agatston score regression from non-ECG gated CT scans

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015

  1. AUTOMATIC VENTRICLE DETECTION IN COMPUTED TOMOGRAPHY PULMONARY ANGIOGRAPHY

    2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)

2014

  1. On the relevance of sparsity for image classification

    Computer Vision and Image Understanding, Vol. 125, pp. 115-127

2011

  1. Automated reconstruction of dendritic and axonal trees by global optimization with geometric priors

    Neuroinformatics, Vol. 9, Núm. 2-3, pp. 279-302

2010

  1. Delineating trees in noisy 2D images and 3D image-stacks

    Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

  2. Reconstructing geometrically consistent tree structures from noisy images

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2008

  1. Automated delineation of dendritic networks in noisy image stacks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)