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03/30/2023
Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts
In recent years, estimating the duration of medical intervention based o...
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02/07/2023
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Not all positive pairs are beneficial to time series contrastive learnin...
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07/29/2022
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images
The encoder-decoder model is a commonly used Deep Neural Network (DNN) m...
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04/16/2022
UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio
We suggested a unified system with core components of data augmentation,...
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09/18/2021
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals
Learning information-rich and generalizable representations effectively ...
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07/21/2021
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Objective: Temporal electronic health records (EHRs) can be a wealth of ...
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07/11/2021
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021
In this paper, we propose a deep residual network-based method, namely t...
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05/14/2021
Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms
The morphology and distribution of microcalcifications in a cluster are ...
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12/16/2019
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis
In clinical practice, human radiologists actually review medical images ...
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07/22/2019
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
Owe to the recent advancements in Artificial Intelligence especially dee...
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01/14/2019