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Chapter and Conference Paper
Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation
Classification and segmentation are crucial in medical image analysis as they enable accurate diagnosis and disease monitoring. However, current methods often prioritize the mutual learning features and shared...
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Chapter and Conference Paper
Reliable Multimodality Eye Disease Screening via Mixture of Student’s t Distributions
Multimodality eye disease screening is crucial in ophthalmology as it integrates information from diverse sources to complement their respective performances. However, the existing methods are weak in assessin...
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Chapter and Conference Paper
SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image
Recently, Segmenting Anything Model has taken a significant step towards general artificial intelligence. Simultaneously, its reliability and fairness have garnered significant attention, particularly in the f...
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Chapter and Conference Paper
TBraTS: Trusted Brain Tumor Segmentation
Despite recent improvements in the accuracy of brain tumor segmentation, the results still exhibit low levels of confidence and robustness. Uncertainty estimation is one effective way to change this situation,...
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Chapter and Conference Paper
Face Super-Resolution with Spatial Attention Guided by Multiscale Receptive-Field Features
Face super-resolution (FSR) is dedicated to the restoration of high-resolution (HR) face images from their low-resolution (LR) counterparts. Many deep FSR methods exploit facial prior knowledge (e.g., facial l...
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Article
Open AccessThe effect of population size for pathogen transmission on prediction of COVID-19 spread
Extreme public health interventions play a critical role in mitigating the local and global prevalence and pandemic potential. Here, we use population size for pathogen transmission to measure the intensity of...
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Article
Open AccessOptimization of Optomotor Response-based Visual Function Assessment in Mice
Optomotor response/reflex (OMR) assays are emerging as a powerful and versatile tool for phenotypic study and new drug discovery for eye and brain disorders. Yet efficient OMR assessment for visual performance...
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Chapter and Conference Paper
Automatic Computation of Fundamental Matrix Based on Voting
To reconstruct point geometry from multiple images, a new method to compute the fundamental matrix is proposed in this paper. This method uses a new selection method for fundamental matrix under the RANSAC (Ra...
