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08/20/2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures
Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...
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07/03/2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
Many anomaly detection approaches, especially deep learning methods, hav...
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04/01/2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Analyzing high resolution whole slide images (WSIs) with regard to infor...
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08/15/2022
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
Multi-instance learning (MIL) is widely used in the computer-aided inter...
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10/25/2021
Faster estimation for constrained gamma mixture models using closed-form estimators
Mixture models are useful in a wide array of applications to identify su...
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10/22/2021
Circle Representation for Medical Object Detection
Box representation has been extensively used for object detection in com...
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09/18/2021
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
Multiplex immunofluorescence (MxIF) is an emerging imaging technique tha...
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03/09/2021
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Contrastive learning is a key technique of modern self-supervised learni...
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06/03/2020