53 citations · 57 across the 9 of their papers we have counts for
6 papers · 1 filter
Interpretable Multimodal Cancer Prototyping with Whole Slide Images and Incompletely Paired Genomics
Yupei Zhang, Yating Huang, Wanming Hu +3
Multimodal approaches that integrate histology and genomics hold strong potential for precision oncology. However, phenotypic and genotypic heterogeneity limits the quality of intr…
Joint Modelling Histology and Molecular Markers for Cancer Classification
Xiaofei Wang, Hanyu Liu, Yupei Zhang +6
Cancers are characterized by remarkable heterogeneity and diverse prognosis. Accurate cancer classification is essential for patient stratification and clinical decision-making. Al…
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration
Li Pan, Yupei Zhang, Qiushi Yang +2
Recently computer-aided diagnosis has demonstrated promising performance, effectively alleviating the workload of clinicians. However, the inherent sample imbalance among different…
Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading
Li Pan, Yupei Zhang, Qiushi Yang +4
Recently, multimodal deep learning, which integrates histopathology slides and molecular biomarkers, has achieved a promising performance in glioma grading. Despite great progress,…
Unified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning
Yupei Zhang, Li Pan, Qiushi Yang +2
Medical multi-modal pre-training has revealed promise in computer-aided diagnosis by leveraging large-scale unlabeled datasets. However, existing methods based on masked autoencode…
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory
Yupei Zhang, Xianjin Dai, Zhen Tian +6
This study proposed a deep learning-based tracking method for ultrasound (US) image-guided radiation therapy. The proposed cascade deep learning model is composed of an attention n…