Publicaciones (45) Publicaciones de GERMAN GONZALEZ SERRANO Ver datos de investigación referenciados.

2022

  1. Application of a novel microscopic technique for quantifying CA125 binding to circulating mononuclear cells in longitudinal specimens during treatment for ovarian cancer

    Journal of Ovarian Research, Vol. 15, Núm. 1

2021

  1. Assessment of Glial Fibrillary Acidic Protein Binding to the Surface of Leukocytes with Dark-Field Imaging and Computational Analysis

    Advanced Functional Materials, Vol. 31, Núm. 11

  2. Characterization of cell-bound ca125 on immune cell subtypes of ovarian cancer patients using a novel imaging platform

    Cancers, Vol. 13, Núm. 9

  3. 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

  3. Plasmonic Nanoparticle-Based Digital Cytometry to Quantify MUC16 Binding on the Surface of Leukocytes in Ovarian Cancer

    ACS Sensors, Vol. 5, Núm. 9, pp. 2772-2782

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. H-EM: An algorithm for simultaneous cell diameter and intensity quantification in lowresolution imaging cytometry

    PLoS ONE, Vol. 14, Núm. 9

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

    Proceedings - International Symposium on Biomedical Imaging

  4. Quantification of low abundance white cell surface molecules in ovarian cancer by dark field and fluorescence microscopy

    Bio-Optics: Design and Application - Proceedings Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA, BRAIN, NTM, OMA, OMP)

  5. Quantification of low abundance white cell surface molecules in ovarian cancer by dark field and fluorescence microscopy

    Optics InfoBase Conference Papers

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. Disease staging and prognosis in smokers using deep learning in chest computed tomography

    American Journal of Respiratory and Critical Care Medicine, Vol. 197, Núm. 2, pp. 193-203

  4. 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)

  5. Multiorgan structures detection using deep convolutional neural networks

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  6. 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)

  7. Reply to Mummadi et al.

    American Journal of Respiratory and Critical Care Medicine

2017

  1. Cardiac morphometry on computed tomography and exacerbation reduction with β-blocker therapy in chronic obstructive pulmonary disease

    American Journal of Respiratory and Critical Care Medicine