Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)
Novel transformer model that combines novel absolute and relative positional embeddings to encode the geometric information of the different volumes in a diffusion MRI sequence to obtain robust and translatable representation. The proposed model is able to handle acquisitions with multiple b-values and an arbitrary number of directions.
DTI Processing Pipeline: A lightweight, end-to-end workflow for diffusion MRI preprocessing and quality control
This pipeline provides distortion ocrrection, within-session alignment/merge, registration to MNI, and diffusion tensor fitting (DIPY). The pipeline generates clear QC visualizations and summary tables. The design is config-driven, scalable across cohorts, and interoperable with common neuroimaging tools and AI pipelines.
Inferring microstructure distributions from multimodal MRI
The Panning and Translational Invariant Incremental Principal Component Pursuit (incPCP-PTI) algorithm is a fully incremental method for video background modeling that extends incremental PCP in order to cope with moving and panning cameras.
Panning and Translational Invariant Incremental Principal Component Pursuit
The Panning and Translational Invariant Incremental Principal Component Pursuit (incPCP-PTI) algorithm is a fully incremental method for video background modeling that extends incremental PCP in order to cope with moving and panning cameras.