Blanca Zufiria Gerbolés

Blanca Zufiria Gerbolés

Phd Student
Visiting address: Nobels väg 9, D3, 17165 Solna
Postal address: K8 Klinisk neurovetenskap, K8 Neuro Pereira, 171 77 Stockholm

About me

  • PhD student currently working on developing new deep learning methods to
    explore of brain connectivity in ageing and Alzheimer’s Disease.
    * Medical Engineering Master's Degree, KTH Royal Institute of Technology
    * Medical Engineering Master's Degree, Shanghai Jiao Tong University (SJTU)
    * Biomedical Engineering Bachelor's Degree, Universidad Carlos III de Madrid

Research

  • The focus of my research is Deep Learning Analysis of Anatomical Brain
    Connectivity in Alzheimer´s Disease.
    *Publications*
    Veréb, D., Mijalkov, M., Canal-Garcia, A., Chang, Y. W., Gomez-Ruis, E.,
    Gerboles, B. Z., ... & Pereira, J. B. (2023). Age-related differences in the
    functional topography of the locus coeruleus: implications for cognitive and
    affective functions. /medRxiv/, 2023-02.
    Zufiria, B., López-Linares, K., García, M. J., Rebescher, K. M., Lalaguna,
    I., Albertín, E., ... & Macía, I. (2022, September). Analysis of Potential
    Biases on Mammography Datasets for Deep Learning Model Development.
    In /International Workshop on Applications of Medical AI/ (pp. 59-67).
    Cham: Springer Nature Switzerland.
    García-González, M. J., Cilla Ugarte, R., Zufiria Gerbolés, B., Rebescher,
    K. M., Albertin Marco, E., Lalaguna, I., ... & Naranjo Ornedo, V. (2022,
    September). CADIA: a success story in breast cancer diagnosis with digital
    pathology and AI image analysis. In /International Workshop on Applications
    of Medical AI/ (pp. 79-87). Cham: Springer Nature Switzerland.
    Ryan, F., Román, K. L. L., Gerbolés, B. Z., Rebescher, K. M., Txurio, M.
    S., Ugarte, R. C., ... & Oliver, I. M. (2021). Unsupervised domain adaptation
    for the segmentation of breast tissue in mammography images. /Computer
    Methods and Programs in Biomedicine/, /211/, 106368.
    Zufiria, B., Stephens, M., Sánchez, M. J., Ruiz-Cabello, J., López-Linares,
    K., & Macía, I. (2021, April). Fully automatic cardiac segmentation and
    quantification for pulmonary hypertension analysis using mice cine Mr images.
    In /2021 IEEE 18th International Symposium on Biomedical Imaging
    (ISBI)/ (pp. 1411-1415). IEEE.
    Zufiria, B., Qiu, S., Yan, K., Zhao, R., Wang, R., She, H., ... & Feng, Y.
    (2022). A feature‐based convolutional neural network for reconstruction of
    interventional MRI. /NMR in Biomedicine/, /35/(4), e4231.
    Zufiria, B., Bocancea, D. I., Gómez-Gaviro, M. V., Vaquero, J. J., Desco,
    M., Fresno, M., ... & Arranz, A. (2016, March). 3D imaging of the cleared
    intact murine colon with light sheet microscopy. In /Three-Dimensional and
    Multidimensional Microscopy: Image Acquisition and Processing XXIII/ (Vol.
    9713, pp. 122-126). SPIE.

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