Merge branch 'main' of https://github.com/CVPD/CVPD.github.io

Author: iarganda

content/project/_index.md

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     id: research_projects
     content:
       title: Projects
-      subtitle: A list of current research projects of the group
+      subtitle: A list of current and former research projects of the group
       # text: Add any **markdown** formatted content here - text, images, videos, galleries - and even HTML code!
       # Display content from the `content/project/` folder
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content/project/tosbi-2025/featured.png

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+---
+title: "TOSBI – Towards Scalable and Generalized Solutions in Biomedical Images (2025-2028)"
+summary: TOSBI develops scalable and generalizable deep learning methods for biomedical image analysis, focusing on limited annotation, computational efficiency and robust transferability.
+date: 2025-09-01
+authors: ["Ignacio Arganda-Carreras", "Fadi Dornaika", "Nagore Barrena", "Unai Elordi", "Aitor González-Marfil", "Daniel Franco-Barranco"]
+draft: false
+featured: true
+image:
+  focal_point: "center"
+  preview_only: false
+tags:
+  - Biomimage Analysis
+  - Deep Learning
+  - Scalability
+  - Domain Generalization
+  - Foundation Models
+---
+
+The **TOSBI** project — *"Towards Scalable and Generalized Solutions in Biomedical Images"* — aims to develop deep learning methodologies that scale to large bioimage datasets and generalize across imaging modalities and laboratories, with a particular emphasis on annotation-efficient approaches and adapting foundation models to bioimage tasks.
+
+Led by the **Computer Vision and Pattern Discovery (CVPD)** group at the **University of the Basque Country (UPV/EHU)**, TOSBI addresses key bottlenecks in modern biomedical image analysis: scarcity of high-quality annotations, computational cost of state-of-the-art models, and limited cross-domain generalization.
+
+### 🔬 Scientific Goals
+
+- Design and evaluate **annotation-efficient learning strategies** (self-supervised, semi-supervised, few-/zero-shot) tailored to biomedical images.
+- Improve **scalability** of model training and inference for large microscopy and histopathology datasets.
+- Develop **domain adaptation and domain generalization** techniques to transfer models between imaging modalities, labs, or experimental conditions.
+- Adapt and validate **foundation models** for downstream bioimage tasks (segmentation, detection, classification), including practical tooling for the community.
+- Deliver open and reproducible software components and evaluation pipelines compatible with community platforms (e.g., BiaPy).
+
+### 👥 Project Team
+
+- **Principal Investigators**:
+  - Dr. **Fadi Dornaika** (Ikerbasque Research Professor, UPV/EHU)
+  - Dr. **Ignacio Arganda-Carreras** (Ikerbasque Research Associate Professor, UPV/EHU, DIPC, Biofisika Institute)
+
+- **Research Team**:
+  - Dr. **Urtzi Ayesta** (Ikerbasque Research Professor, UPV/EHU)
+  - Dr. **Nagore Barrena** (Assistant Professor, UPV/EHU)
+  - Dr. **Unai Elordi** (Assistant Professor, UPV/EHU)
+
+- **Work Team / Collaborators**:
+  - **Aitor González-Marfil** (PhD student, CVPD)
+  - **Estibaliz Gómez de Mariscal** (Postdoctoral researcher, Portugal)
+  - **Daniel Franco-Barranco** (Postdoctoral researcher / collaborator, UK)
+  - **Dr. Jinan Charafeddine** (De Vinci Higher Education, France)
+  - **Dr. Fares Bougourzi** (University of Salento, Italy)
+  - **Dr. Donglai Wei** (Boston College, USA)
+  - **Software engineer (SE)** (to be hired — WP8)
+  - **PhD candidate (FPI)** (to be recruited — linked FPI contract)
+
+For the complete list of roles and the contribution of each member, see the project application PDF linked below.
+
+### 🕒 Timeline
+
+- **Start**: September, 1 2025
+- **Duration**: August, 31 2028
+
+### 💰 Funding
+
+- Funded by the **Spanish Ministry of Science, Innovation and Universities (MCIU)** under the **Generación de Conocimiento 2024 (Proyectos de Investigación No Orientada)** program, MICIU/AEI /10.13039/501100011033/, and by FEDER, EU.
+- **Total funding**: 143,250.00€ (including indirect costs)  
+- Reference code: **PID2024-157485NB-I00**
+
+
+<img src="/assets/media/MICIU_Cofinanciado_AEI_logo.jpg" alt="Spanish State Agency for Research (AEI) Logo" width="500">
+
+---
+
+### 📄 Project documentation
+
+- Related [PhD announcement](/post/2025-09-30-phd-offer-tosbi/).
+
+---
+
+### 📬 Contacts
+
+- For project-specific enquiries: [Dr. Fadi Dornaika](mailto:fadi.dornaika@ehu.eus) and [Dr. Ignacio Arganda-Carreras](mailto:ignacio.arganda@ehu.eus)
+