Keywords:
- Attention analysis
- automatic grading
- clinical data science
- Cross-Modality Transfer
- deep learning
- disease grading
- fluorescein angiography
- Foundation Models
- GPTs
- inter-grader agreement
- machine learning
- Medical Image Analysis
- multi-objective optimization
- Multidimensional Fairness Evaluation
- Optic disease grading
- personalized medicine
- real-world data
- Retinal Imaging
- retinal vasculitis
- risk prediction
- self-supervised learning
- transformers
- Utility-Fairness Trade-off
- Uveitis
- vasculitis
Publications of Oscar Jimenez-del-Toro sorted by journal and type
Publications of type Idiap-Internal-RR
2024
| Comparing Stability and Discriminatory Power of Hand-crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study, , , , , , , , , , and , Idiap-Internal-RR-40-2024 |
Computers in Biology and Medicine
| Automatic transformer-based grading of multiple retinal inflammatory signs in uveitis on fluorescein angiography, , , , , , , , , , , , , and , in: Computers in Biology and Medicine, 193(110327), 2025 |
[DOI] [URL] |
The Journal of Machine Learning for Biomedical Imaging
| A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems, , , , and , in: The Journal of Machine Learning for Biomedical Imaging, 3:938-957, 2025 |
[DOI] |
Proceedings of the 12th European Workshop on Visual Information Processing (2024)
| Comparing Stability and Discriminatory Power of Hand-crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study, , , , , , , , , , and , in: Proceedings of the 12th European Workshop on Visual Information Processing, 2024 |
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2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L'Aquila, Italy, 2023 (2023)
| Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical Settings, , , , , , , and , in: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L'Aquila, Italy, 2023, pages 689-693, 2023 |
[DOI] [URL] |