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Daniel Capellan-Martin

Machine Learning Researcher & Phd Student · Biomedical Image Technologies, Universidad Politécnica de Madrid

https://researchid.co/dani-capellan
@upm.es
188Google Scholar Citations
8Google Scholar h-index
8Google Scholar i10-index

Research Interests

Artificial Intelligence Machine Learning Deep Learning Medical Imaging Pediatric imaging Chest X-Ray imaging Cardiac imaging Image processing Signal Processing

Education

B.Sc. in Biomedical Engineering M.Sc. in Biomedical Engineering M.Sc. in Technological Innovation in Health Ph.D. in Biomedical Engineering & Artificial Intelligence (currently)

Recent Google Scholar Publications

  1. Improving Pre-trained Segmentation Models using Post-Processing
    arXiv preprint arXiv:2512.14937 , 2025, 2025 | Citations: 1.0
  2. Diagnostic Performance of Chest Radiography for Pediatric Tuberculosis Across High-and Low-Burden Settings
    Frontiers in Pediatrics 13, 1704149 , 2025, 2025 | Citations: 1.0
  3. Multi-view deep learning framework for the detection of chest X-rays compatible with pediatric pulmonary tuberculosis
    Nature communications 16 (1), 9170 , 2025, 2025 | Citations: 6.0
  4. Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques
    International Conference on Medical Image Computing and Computer-Assisted … , 2025, 2025
  5. Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble
    International Conference on Medical Image Computing and Computer-Assisted … , 2025, 2025 | Citations: 1.0

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