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04/14/2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review
Federated learning (FL) has gained popularity in clinical research in re...
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03/01/2023
FedScore: A privacy-preserving framework for federated scoring system development
We propose FedScore, a privacy-preserving federated learning framework f...
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10/26/2022
UFO2: A unified pre-training framework for online and offline speech recognition
In this paper, we propose a Unified pre-training Framework for Online an...
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10/15/2022
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
Objective: The proper handling of missing values is critical to deliveri...
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06/07/2022
Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images
Parotid gland tumors account for approximately 2 tumors. Preoperative tu...
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05/28/2022
Investigating End-user Acceptance of Last-mile Delivery by Autonomous Vehicles in the United States
This paper investigates the end-user acceptance of last-mile delivery ca...
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01/10/2022
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort
Risk scores are widely used for clinical decision making and commonly ge...
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01/05/2022
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction
Image reconstruction of low-count positron emission tomography (PET) dat...
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11/22/2021
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records
There is a continuously growing demand for emergency department (ED) ser...
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10/04/2021
Deep Kernel Representation for Image Reconstruction in PET
Image reconstruction for positron emission tomography (PET) is challengi...
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04/12/2021
View-Guided Point Cloud Completion
This paper presents a view-guided solution for the task of point cloud c...
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05/14/2020
Low-Dose CT Image Denoising Using Parallel-Clone Networks
Deep neural networks have a great potential to improve image denoising i...
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03/31/2020