Blanca Zufiria Gerbolés
Phd Student
E-mail: blanca.zufiria.gerboles@ki.se
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.