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E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing

Sensors (Basel, Switzerland), 2024-07, Vol.24 (14), p.4620

2024

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STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning

IEEE sensors journal, 2023-05, Vol.23 (10), p.10998-11006

2023

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Artificial intelligence for stepwise diagnosis and monitoring of COVID-19

European radiology, 2022-04, Vol.32 (4), p.2235-2245

2022

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Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease

Translational research : the journal of laboratory and clinical medicine, 2018-04, Vol.194, p.56-67

2018

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Usage of compromised lung volume in monitoring steroid therapy on severe COVID-19

Respiratory research, 2022-04, Vol.23 (1), p.105-105, Article 105

2022

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Corrections to "STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning"

IEEE sensors journal, 2023-08, Vol.23 (15), p.17826-17826

2023

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A novel transfer learning model for predictive analytics using incomplete multimodality data

IIE transactions, 2021-06, Vol.53 (9), p.1010-1022

2021

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An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network

IEEE journal of biomedical and health informatics, 2023-04, Vol.PP (4), p.1-12

2023

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Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections

Journal of X-ray science and technology, 2021-01, Vol.29 (1), p.1-17

2021

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Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning

Journal of X-ray science and technology, 2020-01, Vol.28 (5), p.939-951

2020

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Deep learning-based pulmonary tuberculosis automated detection on chest radiography: large-scale independent testing

Quantitative imaging in medicine and surgery, 2022-04, Vol.12 (4), p.2344-2355

2022

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Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids

Journal of medical imaging (Bellingham, Wash.), 2021-01, Vol.8 (Suppl 1), p.014501

2021

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Impact of localized fine tuning in the performance of segmentation and classification of lung nodules from computed tomography scans using deep learning

Frontiers in oncology, 2023-03, Vol.13, p.1140635-1140635

2023

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Longitudinal changes of laboratory measurements after discharged from hospital in 268 COVID-19 pneumonia patients

Journal of X-ray science and technology, 2021-01, Vol.29 (5), p.741-762

2021

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Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study

Journal of X-ray science and technology, 2024-10, p.1-16

2024

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Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports

Journal of X-ray science and technology, 2020-01, Vol.28 (5), p.885-892

2020

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Research progress of artificial intelligence-based imaging diagnosis of infectious diseases

Radiology of Infectious Diseases, 2022-07, Vol.9 (3), p.92-95

2022

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Uncertainty-driven modality selection for data-efficient prediction of Alzheimer's disease

IISE transactions on healthcare systems engineering, 2024-01, Vol.ahead-of-print (ahead-of-print), p.1-14

2024

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Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer

IISE transactions on healthcare systems engineering, 2024, Vol.14 (2), p.167-11

2024

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Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer's Disease with 3D Amyloid-PET

Bioengineering (Basel), 2023-09, Vol.10 (10), p.1141

2023

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A Novel Hybrid Ordinal Learning Model With Health Care Application

IEEE transactions on automation science and engineering, 2024, p.1-14

2024

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Clinical and radiological features of novel coronavirus pneumonia

Journal of X-ray science and technology, 2020-01, Vol.28 (3), p.391-404

2020

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Leveraging Pretrained Transformers for Efficient Segmentation and Lesion Detection in Cone-Beam Computed Tomography Scans

Journal of endodontics, 2024-10, Vol.50 (10), p.1505-1514.e1

2024

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Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT Segmentation

Journal of endodontics, 2024-02, Vol.50 (2), p.220-228

2024

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A machine learning framework with uncertainty‐driven neuroimaging modality selection for data‐efficient prediction of Alzheimer’s Disease

Alzheimer's & dementia, 2022-12, Vol.18 (S6), p.n/a

2022

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E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing

STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning

Artificial intelligence for stepwise diagnosis and monitoring of COVID-19

Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease

Usage of compromised lung volume in monitoring steroid therapy on severe COVID-19

Corrections to "STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning"

A novel transfer learning model for predictive analytics using incomplete multimodality data

An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network

Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections

Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning

Deep learning-based pulmonary tuberculosis automated detection on chest radiography: large-scale independent testing

Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids

Impact of localized fine tuning in the performance of segmentation and classification of lung nodules from computed tomography scans using deep learning

Longitudinal changes of laboratory measurements after discharged from hospital in 268 COVID-19 pneumonia patients

Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study

Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports

Research progress of artificial intelligence-based imaging diagnosis of infectious diseases

Uncertainty-driven modality selection for data-efficient prediction of Alzheimer's disease

Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer

Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer's Disease with 3D Amyloid-PET

A Novel Hybrid Ordinal Learning Model With Health Care Application

Clinical and radiological features of novel coronavirus pneumonia

Leveraging Pretrained Transformers for Efficient Segmentation and Lesion Detection in Cone-Beam Computed Tomography Scans

Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT Segmentation

A machine learning framework with uncertainty‐driven neuroimaging modality selection for data‐efficient prediction of Alzheimer’s Disease

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