Ana Sofia Castro Verde
Contacts
E-mail: ana.castroverde[at]research.fchampalimaud.org
Professional networks
Research topics
- Cancer Imaging
- Magnetic Resonance Imaging (MRI)
- Artificial Intelligence (AI)
- Radiomics
- Image Processing
Biography
Ana Castro Verde is a biomedical engineer working in the field of medical imaging applied to oncological research. Her curiosity towards medical imaging started during an internship at Cardiff University Brain Research Imaging Centre (CUBRIC) in the UK, combining imaging with genetics. She has completed an integrated MSc in Biomedical Engineering and Biophysics from the Faculty of Sciences of the University of Lisbon (FCUL), developing her project in the Computational Clinical Imaging Group (CCIG) at Champalimaud Foundation on the application of diffusion tensor imaging (DTI) to minimize post-surgical effects on prostate cancer patients.
Afterward, she was a researcher in the same group, working under the BOUNCE project, focusing on using magnetic resonance imaging (MRI) techniques to increase comprehension of the chemo-brain in patients with breast cancer. Currently, she is doing a Ph.D. in Biomedical Engineering and Biophysics from FCUL and working as a research technician at CCIG, coordinating several aspects of the ProCancer-I project, the largest European project in artificial intelligence (AI) and MRI for patients with prostate cancer.
Publications
Journal publications
(2024) Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data, Computers in Biology and Medicine 171, p. 108216, Pergamon
(2020) Diffusion tensor-based fiber tracking of the male urethral sphincter complex in patients undergoing radical prostatectomy: a feasibility study, Insights into Imaging 11, p. 1-12, Springer Berlin Heidelberg
Conference publications
(2024) StitchPro for computational pathology stitching in patients with prostate cancer, IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024, p. 1-4
Book chapters
(2022) Introduction: Artificial Intelligence (AI) Systems for Oncology, Artificial Intelligence in PET/CT Oncologic Imaging, p. 1-10, Springer
Dissertations/Thesis
(2019) Quantifying age-related differences in Diffusion Tensor Imaging biomarkers for the male urethral sphincter of prostate cancer patients