Scholar
Juan Miguel Valverde
Google Scholar ID: OPH9yeIAAAAJ
Technical University of Denmark
Citations & Impact
Citations
282
H-index
8
i10-index
6
Publications
13
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including preprints on CoLeTra and TopoMortar. Additionally, developed application-specific image segmentation methods (e.g., segmentation of brain lesions and hemispheres in preclinical MRI).
Research Experience
- Developed the first data augmentation transformation (CoLeTra) focused on improving topology accuracy, and created the first dataset (TopoMortar) specifically designed to assess whether topology-enhancing methods for image segmentation do actually incorporate prior topological knowledge (preprint). During my Ph.D., I developed a loss function and a filter pruning method for biomedical image segmentation, wrote a review on transfer learning for brain MRI, and participated in a challenge to predict fluid intelligence score from MR images.
Education
- Focused on deep learning and biomedical image segmentation during Ph.D.
Background
- Currently a postdoc researcher at the section for Visual Computing at DTU Compute (Denmark) with Anders Bjorholm Dahl as my supervisor. Research focuses on deep learning, image segmentation, and topology.
Miscellany
- Vast experience with Python, Pytorch, Julia, and Linux. Extensive work with various types of images, including MRI, CT/X-ray (clinical and synchrotron), and electron-microscopy.
