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Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach

Journal of cardiovascular magnetic resonance, 2022-01, Vol.24 (1), p.6-6, Article 6

2022

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Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction

Journal of imaging, 2022-05, Vol.8 (5), p.130

2022

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Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation

Computers in biology and medicine, 2020-11, Vol.126, p.104037-104037, Article 104037

2020

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Multi-task multi-scale learning for outcome prediction in 3D PET images

Computers in biology and medicine, 2022-12, Vol.151 (Pt A), p.106208-106208, Article 106208

2022

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AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging:: Towards Radiophenomics

PET clinics, 2022-01, Vol.17 (1), p.183-212

2022

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PO-05-161 DEEP IMAGE PHENOTYPING OF LEFT ATRIAL CMR CINE IMAGES FOR RISK PREDICTION OF ATRIAL FIBRILLATION IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY

Heart rhythm, 2024-05, Vol.21 (5), p.S567-S567

2024

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Improving accuracy of myocardial T1 estimation in MyoMapNet

Magnetic resonance in medicine, 2022-12, Vol.88 (6), p.2573-2582

2022

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Impact of deep learning architectures on accelerated cardiac T1 mapping using MyoMapNet

NMR in biomedicine, 2022-11, Vol.35 (11), p.e4794-n/a

2022

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PO-05-189 CMR RADIOMIC SIGNATURES OF VENTRICULAR ARRHYTHMIA IN NON-ISCHEMIC CARDIOMYOPATHY

Heart rhythm, 2024-05, Vol.21 (5), p.S580-S581

2024

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Accelerated cardiac T 1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T 1 estimation approach

Journal of cardiovascular magnetic resonance, 2022-01, Vol.24 (1), p.6

2022

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Accelerated Cardiac MRI Cine with Use of Resolution Enhancement Generative Adversarial Inline Neural Network

Radiology, 2023-06, Vol.307 (5), p.e222878-e222878

2023

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Improving accuracy of myocardial T 1 estimation in MyoMapNet

Magnetic resonance in medicine, 2022-12, Vol.88 (6), p.2573-2582

2022

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Automatic multislice segmentation of visceral adipose tissue from CT of PET/CT by using a dense V-Network

The Journal of nuclear medicine (1978), 2019-05, Vol.60

2019

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Quantification of changes in myocardial T1 values with exercise cardiac MRI using a free‐breathing non‐electrocardiograph radial imaging

Magnetic resonance in medicine, 2022-10, Vol.88 (4), p.1720-1733

2022

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Impact of deep learning architectures on accelerated cardiac T 1 mapping using MyoMapNet

NMR in biomedicine, 2022-11, Vol.35 (11)

2022

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Quantification of changes in myocardial T 1 values with exercise cardiac MRI using a free-breathing non-electrocardiograph radial imaging

Magnetic resonance in medicine, 2022-10, Vol.88 (4), p.1720-1733

2022

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Scanner-Independent MyoMapNet for Accelerated Cardiac MRI T 1 Mapping Across Vendors and Field Strengths

Journal of magnetic resonance imaging, 2024-01, Vol.59 (1), p.179-189

2024

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Scanner‐Independent MyoMapNet for Accelerated Cardiac MRI T1 Mapping Across Vendors and Field Strengths

Journal of magnetic resonance imaging, 2024-01, Vol.59 (1), p.179-189

2024

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Radiomics-net: Convolutional Neural Networks on FDG PET Images for predicting cancer treatment response

The Journal of nuclear medicine (1978), 2018-05, Vol.59 (supplement 1), p.324

2018

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AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging

PET clinics, 2022-01, Vol.17 (1), p.183-212

2022

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Deformation-encoding Deep Learning Transformer for High-Frame-Rate Cardiac Cine MRI

Radiology. Cardiothoracic imaging, 2024-06, Vol.6 (3), p.e230177

2024

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Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.639-648

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RADIOGAN:Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images

Proceedings of the 7th International Conference on Bioinformatics Research and Applications, 2020, p.28-33

2020

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Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach

Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction

Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation

Multi-task multi-scale learning for outcome prediction in 3D PET images

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging:: Towards Radiophenomics

PO-05-161 DEEP IMAGE PHENOTYPING OF LEFT ATRIAL CMR CINE IMAGES FOR RISK PREDICTION OF ATRIAL FIBRILLATION IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY

Improving accuracy of myocardial T1 estimation in MyoMapNet

Impact of deep learning architectures on accelerated cardiac T1 mapping using MyoMapNet

PO-05-189 CMR RADIOMIC SIGNATURES OF VENTRICULAR ARRHYTHMIA IN NON-ISCHEMIC CARDIOMYOPATHY

Accelerated cardiac T 1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T 1 estimation approach

Accelerated Cardiac MRI Cine with Use of Resolution Enhancement Generative Adversarial Inline Neural Network

Improving accuracy of myocardial T 1 estimation in MyoMapNet

Automatic multislice segmentation of visceral adipose tissue from CT of PET/CT by using a dense V-Network

Quantification of changes in myocardial T1 values with exercise cardiac MRI using a free‐breathing non‐electrocardiograph radial imaging

Impact of deep learning architectures on accelerated cardiac T 1 mapping using MyoMapNet

Quantification of changes in myocardial T 1 values with exercise cardiac MRI using a free-breathing non-electrocardiograph radial imaging

Scanner-Independent MyoMapNet for Accelerated Cardiac MRI T 1 Mapping Across Vendors and Field Strengths

Scanner‐Independent MyoMapNet for Accelerated Cardiac MRI T1 Mapping Across Vendors and Field Strengths

Radiomics-net: Convolutional Neural Networks on FDG PET Images for predicting cancer treatment response

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging

Deformation-encoding Deep Learning Transformer for High-Frame-Rate Cardiac Cine MRI

Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

RADIOGAN:Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images

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