PhD Student · Medical Imaging · Barcelona

Sígrid
Vila Bagaria

Computer Vision Engineer & Medical Imaging Researcher
at Universitat Politècnica de Catalunya

Developing AI pipelines for medical image analysis — from generative MRI synthesis to histopathology classification. Curious, technically rigorous, and driven by problems that matter for people's health.

Computer Vision Medical Imaging Generative Models Computational Pathology
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Sígrid Vila Bagaria
3+
Years Research
4+
Projects
6
Publications
3
Awards
00

Awards & Honours

Best Student Record Award
CVC · Master's in Computer Vision · 2024
Awarded for outstanding academic performance throughout the Master's programme at Centre de Visió per Computador.
Best Master Thesis Award
ACMCV · 2024
Thesis: "Synthesis of prostate MRI with generative adversarial networks" — recognised as the best thesis in the MSc promotion by the Catalan Association for Computer Vision.
FI-STEP PhD Grant
Generalitat de Catalunya · 2025
Competitive PhD funding grant awarded by the Generalitat de Catalunya for doctoral research in medical imaging and computer vision.
Erasmus+ Exchange Programme
Chalmers University · 2022
Selected for Erasmus+ exchange at Chalmers University of Technology, Sweden, during Bachelor's in Data Science and Engineering.
INIREC Research Scholarship
UPC · 2023
Funded research internship in sport analysis using deep learning and computer vision at the Image Processing Group (GPI), UPC.
01

Research Experience

2025 — Present
PhD Student
Universitat Politècnica de Catalunya (UPC) — Image Processing Group (GPI)
MRI generation, H&E histopathology classification and subtyping, cell detection and classification. Funded by the FI-STEP grant from the Generalitat de Catalunya.
2024 — 2025
Research Engineer
Universitat Politècnica de Catalunya (UPC) — Image Processing Group (GPI)
Research and development of prostate MRI synthesis systems within the GPI group. Contributed to the EU Horizon FLUTE project on federated learning for prostate cancer.
2023
Research Assistant (INIREC Scholar)
Universitat Politècnica de Catalunya (UPC) — Image Processing Group (GPI)
Research internship in sport analysis using Deep Learning and Computer Vision. Developed a tracking pipeline for online and offline player and ball tracking in collaboration with MediaPro.
02

Projects

Ongoing
AI-based Pathology for Gastric Adenocarcinoma Subtyping
2025 — Present
Development of an AI pipeline to classify H&E slides according to genetic subtypes. Collaboration with IRBLleida. Related publications: CCMIL (MICCAI 2026) and VITA (MIDL 2026).
Histopathology Classification IRBLleida
Ongoing
Spatial Analysis of HER2 Expression Patterns
2025 - present
Development of CV pipeline to analyse and evaluate HER2 status in endometrial tissue.
WSI analysis Histopathology Clinical App
Ongoing
Endometrial Cell Classification
2025 — Present
AI model to classify endometrial cells to aid physicians in diagnosis. Part of the DigiPatICS project funded by the ICS. Related publication: Dual-CellNucDETR (MICCAI 2026).
Cell Classification DigiPatICS Clinical AI
Completed
Prostate MR Image Generation
2024 — 2026
Generative models for synthetic prostate MRI to improve downstream classification. Part of the FLUTE EU Horizon project on federated learning for prostate cancer diagnostics. Related publication: Anatomically Guided 3D Diffusion Models for Synthetic Prostate MRI Generation (MICCAI 2025).
Generative Models EU Horizon Federated Learning
Completed
Basketball Player Tracking
2023
Online and offline tracking pipeline for players and ball. Collaboration with MediaPro. Read publication →
Computer Vision Tracking MediaPro
03

Publications

Zero-Cost Virtual RNA: Approximating Immunotherapy Signatures via Cross-Modal WSI Retrieval
Sígrid Vila-Bagaria, Mar Teixidó, Miquel Piñol, Felip Vilardell, Robert Montal, Verónica Vilaplana
MIDL 2026 — Short Papers
PDF
Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology
Sígrid Vila-Bagaria, Mar Teixidó, Miquel Piñol, Felip Vilardell, Robert Montal, Verónica Vilaplana
MICCAI 2026 — CAPTION Workshop
PDF DOI
Dual-CellNucDETR: Context-Aware Object-Level Cell Analysis
Maria Ysern*, Sígrid Vila-Bagaria*, Oscar Pina, Verónica Vilaplana (*equal contribution)
MICCAI 2026 — COMPAYL Workshop
PDF DOI
Anatomically Guided 3D Diffusion Models for Synthetic Prostate MRI Generation
Claudia Giardina, Sígrid Vila-Bagaria, Carlos Albornés, Montse Pardàs, Verónica Vilaplana
MICCAI Workshop on Deep Generative Models, pp. 288–297 · 2025
PDF DOI
Synthesis of Prostate MRI with Generative Adversarial Networks
Sígrid Vila Bagaria, Montse Pardàs, Verónica Vilaplana
Master Thesis · ACMCV Best Thesis Award · 2024
PDF ACMCV
Visual Sport Analysis Using Computer Vision and Deep Learning Techniques
Sígrid Vila Bagaria, Ramon Morros, Javier Ruiz
Bachelor Thesis · UPCommons · 2023
UPCommons
04

Skills

Programming & Frameworks

Python PyTorch Git NumPy / SciPy OpenCV

Research Areas

Generative Models (GAN, Diffusion) Medical Image Analysis Computational Pathology Object Tracking Image Synthesis Computer Vision

Other

Scientific Writing Statistical Analysis Data Visualisation Technical Teaching

Languages

Catalan — Native Spanish — Native English — C1 French — B2
05

Education

PhD in Medical Imaging & Computer Vision
UPC — Image Processing Group (GPI)
2025 — Present
AI pipelines for medical imaging tasks spanning MRI synthesis, histopathology classification, and cell detection.
FI-STEP Grant
Master's in Computer Vision
Centre de Visió per Computador (CVC)
2023 — 2024
Human & Computer Vision, Optimisation, ML, 3D Vision, Visual Recognition, Video Analysis.
Best Student Record

Best Master Thesis — ACMCV
Bachelor's in Data Science and Engineering
Universitat Politècnica de Catalunya (UPC)
2019 — 2023
Algorithms, Signals & Systems, ML/DL, Computer Vision, NLP, Databases.
Erasmus+ — Chalmers University
06

Teaching

Machine Learning I
BSc Data Science and Engineering · UPC
2026 — Present
Laboratory sessions, student mentoring, and evaluation of practical assignments.
Deep Learning & Computer Vision
Postgraduate in AI with Deep Learning · UPC School
2025 — Present
Laboratory sessions and advisor of a final project group.
Deep Learning for AI
MSc Telecommunications Engineering & MSc ATT · UPC
2025 — Present
Laboratory sessions, student mentoring, and evaluation of practical assignments.
07

Contact

Open to research collaborations, PhD stay opportunities, and conversations about AI in medical imaging. Don't hesitate to reach out.

Email
sigrid.vila@upc.edu
LinkedIn
sigridvilabagaria
GitHub
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Publications
Sígrid Vila Bagaria
PhD Student · UPC Image Processing Group · Barcelona, 2026