Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Research interests include Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Medical Image Segmentation Techniques, and Functional Brain Connectivity Studies.
A Total Variation Regularizer with Partially Known Support for Pulse-Echo Speed-of-Sound Imaging
Spatially regularized super-resolved constrained spherical deconvolution (SR2-CSD) of diffusion MRI data
Deep Learning-Based Inpainting for Sparse Arrays in Ultrafast Ultrasound Imaging
Barriers and Facilitators to the Preadoption of a Computer-Aided Diagnosis Tool for Cervical Cancer: Qualitative Study on Health Care Providers' Perspectives in Western Cameroon.
Deep Learning for fODF Estimation in Infant Brains: Model Comparison, Ground-Truth Impact, and Domain Shift Mitigation.
Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains
A Path-Based Model for Aberration Correction in Ultrasound Imaging
Domain shifts in infant brain diffusion MRI: Quantification and mitigation for fODF estimation
Inverse Problems With Multiple Plane Waves: The Angular Simplification
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology
Windowed Radon Transform for Robust Speed-of-Sound Imaging With Pulse-Echo Ultrasound
Windowed Radon Transform and Tensor Rank-1 Decomposition for Adaptive Beamforming in Ultrafast Ultrasound
Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI.
Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis.
An Inverse-Problem Approach to the Estimation of Despeckled and Deconvolved Images From Radio-Frequency Signals in Pulse-Echo Ultrasound
Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis.
Enhancement of time-dependent coherent backscattering: Leveraging phase information
Refraction-Based Speed of Sound Estimation in Layered Media: An Angular Approach
AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays
Cellular Exchange Imaging (CEXI): Evaluation of a diffusion model including water exchange in cells using numerical phantoms of permeable spheres.
Susceptibility-induced internal gradients reveal axon morphology and cause anisotropic effects in the dMRI signal
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning.
Barriers and Facilitators to the Preadoption of a Computer-Aided Diagnosis Tool for Cervical Cancer: Qualitative Study on Health Care Providers’ Perspectives in Western Cameroon (Preprint)
Hierarchical graph representations in digital pathology.
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues.
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.
Examining the synergistic effects of a cognitive control video game and a home-based, self-administered non-invasive brain stimulation on alleviating depression: the DiSCoVeR trial protocol
Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI.
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection.