Publicaciones en colaboración con investigadores/as de Universidad de Castilla-La Mancha (27)

2022

  1. CD68 and CD83 immune populations in non-metastatic axillary lymph nodes are of prognostic value for the survival and relapse of breast cancer patients

    Breast Cancer, Vol. 29, Núm. 4, pp. 618-635

2021

  1. Differences in the Immune Response of the Nonmetastatic Axillary Lymph Nodes between Triple-Negative and Luminal A Breast Cancer Surrogate Subtypes

    American Journal of Pathology, Vol. 191, Núm. 3, pp. 545-554

2020

  1. Data for glomeruli characterization in histopathological images

    Data in Brief

  2. Peritumoral immune infiltrates in primary tumours are not associated with the presence of axillary lymph node metastasis in breast cancer: a retrospective cohort study

    PeerJ, Vol. 8

  3. The Immune Response in Nonmetastatic Axillary Lymph Nodes Is Associated with the Presence of Axillary Metastasis and Breast Cancer Patient Outcome

    American Journal of Pathology, Vol. 190, Núm. 3, pp. 660-673

2019

  1. Immune response profile of primary tumour, sentinel and non-sentinel axillary lymph nodes related to metastasis in breast cancer: an immunohistochemical point of view

    Histochemistry and Cell Biology, Vol. 152, Núm. 3, pp. 177-193

  2. New european union regulations related to whole slide image scanners and image analysis software

    Journal of Pathology Informatics, Vol. 10, Núm. 1

2018

  1. Digital Imaging and Communications in Medicine Whole Slide Imaging Connectathon at Digital Pathology Association Pathology Visions 2017

    Journal of Pathology Informatics, Vol. 9, Núm. 1

2017

  1. Automatic quantification of IHC stain in breast TMA using colour analysis

    Computerized Medical Imaging and Graphics, Vol. 61, pp. 14-27

  2. Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas

    PLoS ONE, Vol. 12, Núm. 6

  3. Teaching digital pathology: The international school of digital pathology and proposed syllabus

    Journal of Pathology Informatics, Vol. 8, Núm. 1

2016

  1. New Trends of Emerging Technologies in Digital Pathology

    Pathobiology, Vol. 83, Núm. 2-3, pp. 61-69

  2. Vascular patterns provide therapeutic targets in aggressive neuroblastic tumors

    Oncotarget, Vol. 7, Núm. 15, pp. 19935-19947

2015

  1. A CAD System for the Acquisition and Classification of Breast TMA in Pathology

    Studies in Health Technology and Informatics

  2. Frequential versus spatial colour textons for breast TMA classification

    Computerized Medical Imaging and Graphics, Vol. 42, pp. 25-37

  3. Influence of texture and colour in breast TMA classification

    PLoS ONE, Vol. 10, Núm. 10

2014

  1. Automatic handling of tissue microarray cores in high-dimensional microscopy images

    IEEE Journal of Biomedical and Health Informatics, Vol. 18, Núm. 3, pp. 999-1007

  2. Breast Tissue Microarray Classification Based on Texture and Frequential Features

    IFMBE Proceedings

  3. Development of automated quantification methodologies of immunohistochemical markers to determine patterns of immune response in breast cancer: A retrospective cohort study

    BMJ Open, Vol. 4, Núm. 8

2013

  1. Colour model analysis for histopathology image processing

    Lecture Notes in Computational Vision and Biomechanics (Springer Netherlands), pp. 165-180