Veronica Vilaplana
Biography
Veronica Vilaplana holds a MSc degree in Mathematics and a MSc degree in Computer Sciences from the Universidad de Buenos Aires (Argentina), and a PhD in Signal Theory and Communications from the Universitat Politècnica de Catalunya (UPC). Since 2002 she is associate professor at the Department of Signal Theory and Communications (UPC). Her current research interests focus on deep learning and other machine learning models for biomedical and remote sensing applications.
Scientific IDs:
Google Scholar, ORCID: 0000-0001-6924-9961 https://orcid.org/0000-0001-6924-9961
Scopus Author ID: 23394280500, Researcher ID: O-1726-2014, UPC Futur
Journal Articles top
| , “Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers”, Molecular psychiatry, In Press. |
| , “Comparative Analysis and Interpretability of Survival Models for Melanoma Prognosis”, Computers in Biology and Medicine, vol. 190, 2025. |
| , “SurvLIMEpy: A Python package implementing SurvLIME”, Expert Systems With Applications, vol. 237, Part C, 2024. |
| , “AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation”, Data in Brief, vol. 52, 2024. |
| , “The mediating role of neuroimaging-derived biological brain age between risk factors for dementia and cognitive decline in middle/late-aged asymptomatic individuals: a cohort study”, The Lancet Healthy Longevity, 2024. |
Book Chapters and Bookstop
| , “Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers”, in Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, vol. 15451, Springer, In Press. |
| , “Identifying brain ageing trajectories using variational autoencoders”, in PRedictive Intelligence in MEdicine, vol. 15155, Springer International Publishing, 2025. |
| , “Interpreting Machine Learning Models for Survival Analysis: A Study of Cutaneous Melanoma Using the SEER Database”, in Explainable Artificial Intelligence and Process Mining Applications for Healthcare,, vol. 2020, Springer, Cham, 2024. |
| , “MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures”, in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020, vol. 12658, Springer International Publishing, 2021, pp. 376-390. |
| , “Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification”, in Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Springer International Publishing, 2018, pp. 274-281. |
Conference Papers top
| , “Towards a multicentric open DigitAL PatHology assIstant beNchmark: Initial Results from the DALPHIN Study”, in United States & Canadian Academy of Pathology 114th Annual Meeting (USCAP 2025), Boston, USA, 2025. |
| , “Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop), 2024. |
| , “Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop), 2024. |
| , “Cell-DETR: Efficient cell detection and classification in WSIs with transformers”, in Medical Imaging with Deep Learning (MIDL 2024), 2024. |
| , “Synthesis of Prostate MRI Scans: A Comparison of StyleGAN2-ADA and Latent Diffusion Models”, in Conferencia de la Asociación Española para la Inteligencia Artificial, IABioMed workshop, 2024. |
Theses top
| , “Super-resolution and semantic segmentation of remote sensing images using deep learning techniques”, 2022. |
| , “Study of early stages of Alzheimer’s disease using magnetic resonance imaging”, Universitat Politècnica de Catalunya, Barcelona, 2019. |
, “Visual Object Analysis using Regions and Local Features”, 2016. (2.5 MB) |
Other top
| , “Deep learning for semantic segmentation of airplane hyperspectral imaging”. 2019. | Ms Thesis |
| , “Clasificación de lesiones de piel con un ensemble de redes neuronales residuales”. 2019. | Ms Thesis |
| , “Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos”. 2019. | Ms Thesis |
| , “Synthesis of acne images for data augmentation with generative adversarial networks”. 2019. | Ms Thesis |
| , “Interpretability of Deep Learning Models”. 2019. | Ms Thesis |
Projects top
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DIORAMA: Data-centric AI for medical imaging | National | Sep 2024 | Dec 2027 |
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Federated Learning and mUlti-party computation Techniques for prostatE cancer | European | May 2023 | Apr 2026 |
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Routine infrared dermal thermography for early diagnosis of high-risk diabetic foot | Other | Jan 2023 | Dec 2025 |
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DigiPatICS: Projecte d'optimització del diagnòstic anatomopatòleg en xarxa als hospitals de l'Institut Català de la Salut a través de la digitalització i eines d'intel·ligència Artificial | Other | Oct 2020 | Dec 2025 |
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AIMING: Unbiased and explainable artificial intelligence for medical imaging | National | Sep 2021 | Aug 2024 |
Research Areas top
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Biomedical Applications | Internal | Jan 2012 | Dec 2026 |
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Region-based image and video processing | Internal | Jan 1992 | Dec 2020 |
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Deep learning | Internal | Jun 2014 | Dec 2020 |
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Saliency prediction | Internal | Feb 2015 | Dec 2019 |
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Multimedia Retrieval | Internal | Sep 2001 | Dec 2018 |
Demos and Resources top
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Additional results for "Action Tube Extraction based 3D-CNN for RGB-D Action Recognition" | Results | May 2018 |
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VNeAT (Voxel-wise Neuroimaging Analysis Toolbox) | Software | Jun 2017 |
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Saliency Maps on Image Hierarchies | Results | May 2015 |
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Automatic Keyframe Selection over TVC database | Results | Jun 2013 |