Featured publication
Decomposing the effect of normal aging and Alzheimer’s disease in brain morphological changes via learned aging templates
Introduces two scores — an aging score and an AD-specific score — that separate disease-specific brain atrophy from the effects of normal aging, combining learned aging templates with diffeomorphic image registration. Evaluated on 1,014 T1-weighted MRI scans from the OASIS-3 cohort.
Read more →Research areas
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Diffusion MRI and tractography
Reconstruction and analysis of white-matter pathways, including bundle segmentation, tractogram filtering, and quality assessment.
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Deep learning for clinical imaging
Deep-learning methods for medical image analysis, with emphasis on data efficiency, limited annotation, and validation in clinical settings.
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Imaging biomarkers in neurodegeneration
Quantitative image analysis for the early detection, staging, and longitudinal study of neurodegenerative disease.
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Feb 1, 2026
Combining shallow and deep neural networks on pseudo-colour enhanced images for digital breast tomosynthesis lesion classification
The classification of lesion types in Digital Breast Tomosynthesis (DBT) images is crucial for the early diagnosis of breast cancer. However, the task remains challenging due to the complexity of b...
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Jan 15, 2026
Morphology-enhanced CAM-guided SAM for weakly supervised breast lesion segmentation
Ultrasound imaging plays a critical role in the early detection of breast cancer. We present a novel framework for weakly supervised lesion segmentation in early breast ultrasound images using morp...
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Dec 1, 2025
MAIA: a collaborative medical AI platform for integrated healthcare innovation
The integration of Artificial Intelligence into clinical workflows requires robust collaborative platforms that bridge the gap between technical innovation and practical healthcare applications. We...
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Oct 16, 2025
First International Society of Tractography conference
We participated in the first conference organized by the International Society of Tractography
