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Sara Pires Oliveira was born in Coimbra, Portugal, in 1992. She received the MSc. Degree in Biomedical Engineering from Faculty of Sciences and Technology of University of Coimbra, Portugal, in 2016. Since 2016 she has been working as a Research at INESC TEC, an R&D institute affiliated with the University of Porto, in the Visual Computing and Machine Intelligence Group (VCMI) and in the Breast Research Group. Until August 2018, she was a project member in a funded research project, BCCT.plan, related to the planning of Breast Conserving Treatment. Currently, she is enrolled in the Doctoral Program in Electrical and Computer Engineering, at the Faculty of Engineering of the University of Porto. Her research is focused on computational pathology approaches for breast, colorectal and cervical cancers diagnosis on whole slide images. Since July 2017, she is also a member of the organizing committee of VISUM (VIsion Understanding and Machine intelligence summer school). Her main research interests include computational pathology, medical image analysis, computer vision and machine (deep) learning. She published 4 articles in specialized journals, 1 article and 2 abstracts in international conferences.
Identification

Personal identification

Full name
Sara Pires de Oliveira

Citation names

  • Oliveira, Sara P.

Author identifiers

Ciência ID
4C1F-4381-DF61
ORCID iD
0000-0002-6586-9079
Google Scholar ID
nVJvOB8AAAAJ

Email addresses

  • sara.i.oliveira@inesctec.pt (Professional)

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
English Intermediate (B1) Advanced (C1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2018/02 - 2021/12
Ongoing
Engenharia Eletrotécnica e de Computadores (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2016
Concluded
Mestrado Integrado em Engenharia Biomédica (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Integrated Instrumentation of a Direct Ophthalmoscope" (THESIS/DISSERTATION)
16
Affiliation

Others

Category
Host institution
Employer
2018/09/01 - Current Research Assistant at VCMI (Visual Computing and Machine Intelligence Group) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2018/02/01 - Current PhD Student - Doctoral Program in Eletrical and Computer Engineering Universidade do Porto Faculdade de Engenharia, Portugal
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência Center for Research in Advanced Computing Systems, Portugal
2016/11/09 - 2018/08/31 Research Fellow - BCCT.plan Project - NORTE-01-0247-FEDER-017688 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Outputs

Publications

Conference abstract
  1. "Annotation in digital pathology: how to get started? Our experience in classification tasks in pathology". 2021.
    10.1007/s00428-021-03157-8
  2. "Colorectal Biopsies Assessment Using Weakly Supervised Classification of Whole-Slide Images". Paper presented in 17th European Congress on Digital Pathology (ECDP), 2021.
    Published
Conference paper
  1. Furtado, P; Travassos, C; Monteiro, R; Oliveira, S; Baptista, C; Carrilho, F. "Segmentation of Eye Fundus Images by density clustering in diabetic retinopathy". 2017.
    10.1109/bhi.2017.7897196
Journal article
  1. Oliveira, SP; Neto, PC; Fraga, J; Montezuma, D; Monteiro, A; Monteiro, J; Ribeiro, L; et al. "CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance". SCIENTIFIC REPORTS (2021):
    10.1038/s41598-021-93746-z
  2. Oliveira, Sara P.. "Weakly-Supervised Classification of HER2 Expression in Breast Cancer Haematoxylin and Eosin Stained Slides". Applied Sciences (2020): http://dx.doi.org/10.3390/app10144728.
    10.3390/app10144728
  3. Zolfagharnasab, H; Bessa, S; Oliveira, SP; Faria, P; Teixeira, JF; Cardoso, JS; Oliveira, HP. "A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery". SENSORS (2018):
    10.3390/s18010167

Other

Other output
  1. Three-dimensional planning tool for breast conserving surgery: A technological review. 2018. Oliveira, SP; Morgado, P; Gouveia, PF; Teixeira, JF; Bessa, S; Monteiro, JP; Zolfagharnasab, H; et al.
    10.1615/critrevbiomedeng.2018028476