6 papers
EviDep: Trustworthy Multimodal Depression Estimation via Disentangled Evidential Learning
Fangyuan Liu, Sirui Zhao, Zeyu Zhang +6
Automated multimodal depression estimation in unconstrained environments is inherently challenged by naturalistic noise and complex behavioral variability. Prevailing deterministic…
SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation
Yihong Yao, Chunlei Li, Canxuan Gang +4
Increasingly advanced data augmentation techniques have greatly aided clinical medical research, increasing data diversity and improving model generalization capabilities. Although…
Gyral-Sulcal-Net: An Integrated Network Representation of Brain Folding Patterns
Chao Cao, Tong Chen, Nan Zhao +7
Our brain functions as a complex communication network, and studying it from a network perspective offers valuable insights into its organizational principles and links to cognitiv…
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction
Xuyin Qi, Zeyu Zhang, Huazhan Zheng +19
Bone density prediction via CT scans to estimate T-scores is crucial, providing a more precise assessment of bone health compared to traditional methods like X-ray bone density tes…
ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Xuyin Qi, Zeyu Zhang, Aaron Berliano Handoko +11
Prostate cancer, a growing global health concern, necessitates precise diagnostic tools, with Magnetic Resonance Imaging (MRI) offering high-resolution soft tissue imaging that sig…
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA
Zeyu Zhang, Xuyin Qi, Mingxi Chen +9
The oxygen saturation level in the blood (SaO2) is crucial for health, particularly in relation to sleep-related breathing disorders. However, continuous monitoring of SaO2 is time…