Area of research
Psychiatry and Mental health · Physiology
Research interest
Research interests include Computer science, Medicine, Artificial intelligence, Pittsburgh compound B, Modality (human–computer interaction), and Segmentation.
Diagnostic accuracy of plasma p‐tau217/Aβ42 for Alzheimer's disease in clinical and community cohorts
Tau PET positivity in individuals with and without cognitive impairment varies with age, amyloid-β status, APOE genotype and sex
Automatic classification of distal radius fracture using a two-stage ensemble deep learning framework
β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation
Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture
Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis
Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation
Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis
Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease
3D cGAN based cross-modality MR image synthesis for brain tumor segmentation
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge
MR-Less Surface-Based Amyloid Assessment Based on 11C PiB PET
Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study