Silei Zhu

This paper develops a deep learning model using domain adaptation to predict high-resolution fibre orientations from diffusion MRI, informed by microscopy data, improving connectivity mapping in human brains.

This paper introduces a novel acquisition and reconstruction framework for submillimeter diffusion MRI, achieving high-quality images at 0.53 mm and 0.65 mm resolutions with reduced distortion and improved SNR.

This paper develops a hybrid diffusion MRI-microscopy tractography method to improve 3D brain connectivity reconstruction by combining high-resolution microscopy with diffusion MRI data.

This study compares hippocampal structure and function across humans and macaques to show conservation of micro- and macro-structure but evolutionary reconfiguration in functional connectivity.

This study shows that optogenetic suppression of corticogeniculate feedback reduces LGN neuron activity without visual input but does not affect visual responses, indicating feedforward visual drive overrides weak feedback.