3 papers
eess.IV2026
Recursive Uncertainty-Gated Image Registration for Learning-based Algorithms
Clara Rodrigo González, Oscar Bates, Fu Siong Ng +1
Conventional image registration algorithms are robust to domain shifts and achieve low errors, but they are slow and computationally expensive. Deep-learning methods are efficient…
eess.IV2026
Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws
Clara Rodrigo González, Matthieu Toulemonde, Lasha Gvinianidze +5
Myocardial perfusion quantification using contrast-enhanced ultrasound offers a bedside non-ionizing alternative to nuclear imaging modalities. However, its clinical adoption is hi…
eess.IV2026
Reconstructing 3D Neural Hemodynamics using Sparse Ultrasound Localization Microscopy Data
Jipeng Yan, Oscar Bates, Jingwen Zhu +6
Ultrasound Localization Microscopy (ULM) has presented great potential in functional imaging, benefiting from its ability to reconstruct deep microvasculature. However, the hemodyn…