6 citations · 13 across the 8 of their papers we have counts for
4 papers · 1 filter
Multi-modal learning for predicting the genotype of glioma
Yiran Wei, Xi Chen, Lei Zhu +4
The isocitrate dehydrogenase (IDH) gene mutation is an essential biomarker for the diagnosis and prognosis of glioma. It is promising to better predict glioma genotype by integrati…
Predicting conversion of mild cognitive impairment to Alzheimer's disease
Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb +1
Alzheimer's disease (AD) is the most common age-related dementia. Mild cognitive impairment (MCI) is the early stage of cognitive decline before AD. It is crucial to predict the MC…
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading
Lipei Zhang, Yiran Wei, Ying Fu +3
Whole slide images (WSI) provide valuable phenotypic information for histological assessment and malignancy grading of tumors. The WSI-based grading promises to provide rapid diagn…
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma
Yiran Wei, Chao Li, Xi Chen +2
The isocitrate dehydrogenase (IDH) gene mutation status is an important biomarker for glioma patients. The gold standard of IDH mutation detection requires tumour tissue obtained v…