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07/31/2022
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics
Language modality within the vision language pretraining framework is in...
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04/06/2022
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System
Improving the retrieval relevance on noisy datasets is an emerging need ...
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12/27/2021
MedShift: identifying shift data for medical dataset curation
To curate a high-quality dataset, identifying data variance between the ...
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10/29/2021
CVAD: A generic medical anomaly detector based on Cascade VAE
Detecting out-of-distribution (OOD) samples in medical imaging plays an ...
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07/31/2021
Margin-Aware Intra-Class Novelty Identification for Medical Images
Traditional anomaly detection methods focus on detecting inter-class var...
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11/16/2019
Liver Steatosis Segmentation with Deep Learning Methods
Liver steatosis is known as the abnormal accumulation of lipids within c...
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08/14/2018
Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape based Intensity Analysis for Overlapped Nuclei in Fluorescence In-Situ Hybridization Images
Highly clumped nuclei clusters captured in fluorescence in situ hybridiz...
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07/05/2018
PortraitGAN for Flexible Portrait Manipulation
Previous methods have dealt with discrete manipulation of facial attribu...
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11/21/2016