Research Projects
Active Research Projects
1. Development of a Foundational Model for Histology and Task Adaptation Techniques for Multi-organ Digital Assistant Construction
Period: 2025-2028
Funding: Ministerio de Ciencia, Innovación y Universidades (PID2024-161597OA-I00)
PI: A. Colomer (UPV)
2. Towards a Trustworthy Artificial Intelligence Solution for Skin Cancer Identification
Period: 2025
Funding: UPV
PI: M. López-Pérez
3. Content-Based Image Retrieval for the Diagnosis of Primary and Secondary Skin Tumours (PID2022-140189OB-C21)
Period: 2023-2026
Funding: Ministerio de Ciencia, Innovación y Universidades
PI: V. Naranjo (UPV)
Completed Projects
4. Addressing the Major Challenges of Computational Pathology for Robust Cancer Image Classification: Uncertainty Quantification and Explainability (OVERCOME)
Period: 2025
Funding: Ministerio de Ciencia, Innovación y Universidades - José Castillejo Fellowship (CAS23/00387)
PI: Miguel López-Pérez (UPV)
5. New Artificial Intelligence Algorithm for Non-invasive Automatic Evaluation of Blastocysts (INREIA/2024/14)
Period: 2025-2026
Funding: Generalitat Valenciana
PI: V. Naranjo
6. Cloud Artificial Intelligence for Pathology (CLARIFY)
Period: 2019-2023
Funding: European Union - H2020-MSCA-ITN-2019
PI & Coordinator: V. Naranjo (UPV)
7. AI for Cutaneous Spindle Cell Neoplasm Histopathological Diagnosis (PID2019-105142RB-C22)
Period: 2020-2023
Funding: Ministerio de Ciencia e Innovación
PI: Rafael Molina and Javier Mateos
8. Automatic Detection and Grading of Prostate Cancer from Non-expert Annotators (P20_00286)
Period: 2021-2023
Funding: Junta de Andalucía
PI: R. Molina
9. Enhancement, Classification, and Interpretation of Histological Images of Cancer (DPI2016-77869-C2-2-R)
Period: 2017-2020
Funding: Ministerio de Economía y Competitividad
PI: Rafael Molina and Javier Mateos
10. Using Deep Neural Networks for Inverse Problems in Imaging
Period: 2017-2018
Funding: Universidad de Granada (Visiting Scholars 2017)
PI: R. Molina
Technology Transfer Activities
Non-invasive Biomarker Research for Predicting Oocyte Survival after Vitrification
Partner: IVI VALENCIA, S.L.
Period: 01/06/2025 – 30/05/2026
PI: V. Naranjo (UPV)
