paper-conference

Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
Estimating slide- and patch-level gene expression profiles from pathology images enables rapid and low-cost molecular analysis with …
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A Japanese Dataset for Aspect-based Sentiment Polarity and Emotion Intensity Estimation
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Bridging the Density Gap: Diffusion Model for Stepwise Generation of Dense Cell Images from Sparse Data
High annotation costs are a significant barrier in time-lapse cell imaging, as cell density increases over time, leading to numerous …
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From Pixels to Semantics: Unified Facial Action Representation Learning for Micro-Expression Analysis
Micro-expression recognition (MER) is highly challenging due to the subtle and rapid facial muscle movements and the scarcity of …
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Unsupervised Confidence Calibration for Active Learning
In active learning, training data to be annotated is generally selected based on the confidence scores output by a classifier. However, …
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Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
Spatial transcriptomics (ST) is a novel technology that enables the observation of gene expression at the resolution of individual …
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Bridging the Density Gap: Diffusion Model for Stepwise Generation of Dense Cell Images from Sparse Data
High annotation costs are a significant barrier in time-lapse cell imaging, as cell density increases over time, leading to numerous …
引用
Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
Estimating slide- and patch-level gene expression profiles from pathology images enables rapid and low-cost molecular analysis with …
引用
Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
Estimating slide- and patch-level gene expression profiles from pathology images enables rapid and low-cost molecular analysis with …
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Applicability of Facial Video-Based Alertness Estimation Model in Real Online and In-Person Classrooms
Accurately capturing learners’ internal states is essential in modern educational environments to support effective teaching and the …
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