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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

IEEE transactions on medical imaging, 2021-09, Vol.40 (9), p.2306-2317

2021

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Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method

Medical image analysis, 2021-05, Vol.70, p.102017-102017, Article 102017

2021

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Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction

Medical image analysis, 2020-07, Vol.63, p.101689-101689, Article 101689

2020

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Joint Deep Model-based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.5266-5275

2021

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Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning

European radiology, 2023-09, Vol.33 (9), p.6124-6133

2023

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Parallel imaging in time‐of‐flight magnetic resonance angiography using deep multistream convolutional neural networks

Magnetic resonance in medicine, 2019-06, Vol.81 (6), p.3840-3853

2019

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CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Medical image analysis, 2023-01, Vol.83, p.102628-102628, Article 102628

2023

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SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.7412-7421

2023

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IEEE_Xplore

Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors

Scientific reports, 2018-06, Vol.8 (1), p.9450-11, Article 9450

2018

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Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.241-249

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Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

Machine Learning for Medical Image Reconstruction, p.25-34

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Neural spike classification via deep neural network

IBRO reports, 2019-09, Vol.6, p.S139-S140

2019

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Unveiling Electrode–Electrolyte Design-Based NO Reduction for NH 3 Synthesis

ACS energy letters, 2020-11, Vol.5 (11), p.3647-3656

2020

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Unveiling Electrode–Electrolyte Design-Based NO Reduction for NH3 Synthesis

ACS energy letters, 2020-11, Vol.5 (11), p.3647-3656

2020

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Effects of nitridation treatments for SBT/Ta2O5 stack gate capacitors

Integrated ferroelectrics, 2001, Vol.40 (1-5), p.211-218

2001

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Effects of nitridation treatments for SBT/Ta 2 O 5 stack gate capacitors

Integrated ferroelectrics, 2001-01, Vol.40 (1-5), p.211-218

2001

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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method

Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction

Joint Deep Model-based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI

Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning

Parallel imaging in time‐of‐flight magnetic resonance angiography using deep multistream convolutional neural networks

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation

Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors

Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

Neural spike classification via deep neural network

Unveiling Electrode–Electrolyte Design-Based NO Reduction for NH 3 Synthesis

Unveiling Electrode–Electrolyte Design-Based NO Reduction for NH3 Synthesis

Effects of nitridation treatments for SBT/Ta2O5 stack gate capacitors

Effects of nitridation treatments for SBT/Ta 2 O 5 stack gate capacitors

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