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08/28/2023
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction
Electronic Health Records (EHRs) and routine documentation practices pla...
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10/14/2022
Motion-related Artefact Classification Using Patch-based Ensemble and Transfer Learning in Cardiac MRI
Cardiac Magnetic Resonance Imaging (MRI) plays an important role in the ...
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08/18/2021
Affective Decoding for Empathetic Response Generation
Understanding speaker's feelings and producing appropriate responses wit...
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08/03/2021
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
Brain age estimation based on magnetic resonance imaging (MRI) is an act...
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11/02/2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
The Variational Autoencoder (VAE) is a popular and powerful model applie...
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10/27/2020
DGST: a Dual-Generator Network for Text Style Transfer
We propose DGST, a novel and simple Dual-Generator network architecture ...
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04/28/2020
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
In this paper, we present a generic deep convolutional neural network (D...
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04/16/2020
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation
Deep learning based image segmentation has achieved the state-of-the-art...
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11/13/2019
A Stable Variational Autoencoder for Text Modelling
Variational Autoencoder (VAE) is a powerful method for learning represen...
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10/22/2018
