publications
2025
- Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRIRadiology: Artificial Intelligence
- Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learningInsights into Imaging
- Auto-METRICS: LLM-assisted scientific quality control for radiomics researchEuropean Journal of Radiology
- Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detectorScientific Reports
- Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiologyEuropean Radiology
- Rad-Path Correlation of Deep Learning Models for Prostate Cancer Detection on MRImedRxiv
- AI Models in Cancer Diagnosis and Prognosis
- Foundation models for radiology—the position of the AI for Health Imaging (AI4HI) networkInsights into Imaging
- Uplift Modeling for Treatment Effect Estimation in the Prostate Cancer Treatment LandscapeIn Iberian Conference on Pattern Recognition and Image Analysis
- Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter StudyRadiology: Imaging Cancer
- Telomere attrition becomes an instrument for clonal selection in aging hematopoiesis and leukemogenesisNature Genetics
- Self-supervised learning leads to improved performance in biparametric prostate MRI classificationComputers in Biology and Medicine
- Classpose: foundation model-driven whole slide image-scale cell phenotyping in H&EbioRxiv
2024
- The multimodality cell segmentation challenge: toward universal solutionsNature Methods
- Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective dataComputers in Biology and Medicine
- Self-Supervised Learning for Volumetric Imaging: A Prostate Cancer Biparametric Magnetic Resonance Imaging Case StudyAvailable at SSRN 4864797
- Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness PredictionJCO Clinical Cancer Informatics
- Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate CancerIn 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
- StitchPro for Computational Pathology Stitching in Patients with Prostate CancerIn 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
2023
- Computational analysis of peripheral blood smears detects disease-associated cytomorphologiesNature Communications
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- Performance Analysis of Self-Supervised Strategies for Standard Genetic ProgrammingIn Proceedings of the Companion Conference on Genetic and Evolutionary Computation
2022
- The longitudinal dynamics and natural history of clonal haematopoiesisNature
2021
2020
- Understanding the binding specificity of G-Protein coupled receptors toward G-proteins and arrestins: Application to the dopamine receptor familyJournal of Chemical Information and Modeling
2019
- Dynamical rearrangement of human epidermal growth factor receptor 2 upon antibody binding: effects on the dimerizationBiomolecules
2018
- In silico studies targeting G-protein coupled receptors for drug research against Parkinson’s diseaseCurrent neuropharmacology
- Computational Tools for the Structural Characterization of Proteins and Their Complexes from Sequence-Evolutionary DataEncyclopedia of Analytical Chemistry: Applications, Theory and Instrumentation
- Computational approaches in antibody-drug conjugate optimization for targeted cancer therapyCurrent topics in medicinal chemistry
- An Overview of Antiretroviral Agents for Treating HIV Infection in Paediatric PopulationCurrent medicinal chemistry
2017
- SpotOn: high accuracy identification of protein-protein interface hot-spotsScientific reports
- Membrane proteins structures: A review on computational modeling toolsBiochimica et Biophysica Acta (BBA)-Biomembranes
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- Effect of tolbutamide on tetraethylammonium-induced postsynaptic zinc signals at hippocampal mossy fiber-CA3 synapsesCanadian Journal of Physiology and Pharmacology
- Structural mechanism of HER2-antibodies complexes by molecular dynamics studiesIn Proceedings of MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition
- Using big-data to understand the protein interface landscapeIn Proceedings of MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition
- Coevolution importance on binding Hot-Spot prediction methodsIn MOL2NET 2016, International Conference on Multidisciplinary Sciences, 2nd edition