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
| , “Comparative Analysis and Interpretability of Survival Models for Melanoma Prognosis”, Computers in Biology and Medicine, vol. 190, 2025. |
| , “Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers”, Molecular psychiatry, 2025. |
| , “Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning”, IEEE Transactions on Neural Networks and Learning Systems, 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. |
Book Chapters and Bookstop
| , “Identifying brain ageing trajectories using variational autoencoders”, in PRedictive Intelligence in MEdicine, vol. 15155, Springer International Publishing, 2025. |
| , “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, 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
| , “Segmenting Invasive and In Situ Carcinoma in Breast WSIs with a Pretrained Histopathology Transformer”, in 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in breast care - MICCAI2025, In Press. |
| , “Anatomically Guided 3D Diffusion Models for Synthetic Prostate MRI Generation”, in 5th Deep Generative Models Workshop - MICCAI 2025, In Press. |
, “Cell Detection with Transformers – A Paradigm Shift from Segmentation to Detection in Digital Pathology”, in 21st European Congress on Digital Pathology, 2025. (599.69 KB) |
|
, “Hierarchical Cell-to-Patch Graphs for Context-Aware Cell Classification in Digital Pathology”, in 21st European Congress on Digital Pathology, Barcelona, 2025. (600.71 KB) |
|
, “Unsupervised Domain Adaptation for Cell Detection Across Histopathological Stains”, in 21st European Congress on Digital Pathology, Barcelona, 2025. (601.11 KB) |
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
 |
DIORAMA: Data-centric AI for medical imaging | National | Sep 2024 | Dec 2027 |
 |
Federated Learning and mUlti-party computation Techniques for prostatE cancer | European | May 2023 | Apr 2026 |
 |
Routine infrared dermal thermography for early diagnosis of high-risk diabetic foot | Other | Jan 2023 | Dec 2025 |
 |
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 |
 |
AIMING: Unbiased and explainable artificial intelligence for medical imaging | National | Sep 2021 | Aug 2024 |
Research Areas top
 |
Biomedical Applications | Internal | Jan 2012 | Dec 2026 |
 |
Region-based image and video processing | Internal | Jan 1992 | Dec 2020 |
 |
Deep learning | Internal | Jun 2014 | Dec 2020 |
 |
Saliency prediction | Internal | Feb 2015 | Dec 2019 |
 |
Multimedia Retrieval | Internal | Sep 2001 | Dec 2018 |
Demos and Resources top
 |
Additional results for "Action Tube Extraction based 3D-CNN for RGB-D Action Recognition" | Results | May 2018 |
 |
VNeAT (Voxel-wise Neuroimaging Analysis Toolbox) | Software | Jun 2017 |
 |
Saliency Maps on Image Hierarchies | Results | May 2015 |
 |
Automatic Keyframe Selection over TVC database | Results | Jun 2013 |