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12/16/2022
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation
Human organs constantly undergo anatomical changes due to a complex mix ...
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07/27/2022
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning
Diagnosing Alzheimer's disease (AD) involves a deliberate diagnostic pro...
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03/22/2022
TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging
Sleep staging is essential for sleep assessment and plays a vital role a...
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12/03/2021
Efficient Continuous Manifold Learning for Time Series Modeling
Modeling non-Euclidean data is drawing attention along with the unpreced...
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08/21/2021
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model
Existing studies on disease diagnostic models focus either on diagnostic...
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08/10/2021
Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis
The identification of Alzheimer's disease (AD) and its early stages usin...
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04/28/2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
Transfer learning has gained attention in medical image analysis due to ...
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04/11/2021
Fine-Grained Attention for Weakly Supervised Object Localization
Although recent advances in deep learning accelerated an improvement in ...
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01/25/2021
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series
Electronic health record (EHR) data is sparse and irregular as it is rec...
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11/20/2020
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision
There exists an apparent negative correlation between performance and in...
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07/01/2020
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
In this work, we formulate the problem of estimating and selecting task-...
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05/06/2020
Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease
Alzheimer's disease (AD) is known as one of the major causes of dementia...
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03/02/2020
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series
Electronic health records (EHR) consist of longitudinal clinical observa...
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03/02/2020
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction
Electronic health records (EHR) are characterized as non-stationary, het...
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03/02/2020
Multi-Scale Neural network for EEG Representation Learning in BCI
Recent advances in deep learning have had a methodological and practical...
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10/17/2019
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator
In recent, deep learning-based feature representation methods have shown...
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05/27/2019
Plug-in Factorization for Latent Representation Disentanglement
In this work, we propose a Factorized Disentangler-Entangler Network (FD...
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07/24/2018
