2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Missing-Modality-Aware Graph Neural Network for Cancer Classification
Sina Tabakhi, Chen, Haiping Lu
A key challenge in learning from multimodal biological data is missing modalities, where data from one or more modalities are absent for some patients. Existing approaches either e…
Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang +5
Neuropathic pain, affecting up to 10% of adults, remains difficult to treat due to limited therapeutic efficacy and tolerability. Although resting-state functional MRI (rs-fMRI) is…
Imbalanced Semi-Supervised Learning via Label Refinement and Threshold Adjustment
Zeju Li, Ying-Qiu Zheng, Chen Chen +1
Semi-supervised learning (SSL) algorithms often struggle to perform well when trained on imbalanced data. In such scenarios, the generated pseudo-labels tend to exhibit a bias towa…
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection
Mohammod N. I. Suvon, Prasun C. Tripathi, Wenrui Fan +7
Recent advancements in non-invasive detection of cardiac hemodynamic instability (CHDI) primarily focus on applying machine learning techniques to a single data modality, e.g. card…