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Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation

IEEE transactions on medical imaging, 2021-07, Vol.40 (7), p.1778-1791

2021

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Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study

Computerized medical imaging and graphics, 2021-09, Vol.92, p.101967-101967, Article 101967

2021

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Real Time Landmark Detection for Within- and Cross Subject Tracking with Minimal Human Supervision

IEEE access, 2022, Vol.10, p.1-1

2022

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MR-based respiratory and cardiac motion correction for PET imaging

Medical image analysis, 2017-12, Vol.42, p.129-144

2017

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Avoiding shortcut-learning by mutual information minimization in deep learning-based image processing

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow

International journal for computer assisted radiology and surgery, 2024-09, Vol.19 (9), p.1689-1697

2024

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Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk

APSIPA transactions on signal and information processing, 2022-01, Vol.11 (1)

2022

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AI Transformers for Radiation Dose Reduction in Serial Whole-Body PET Scans

Radiology. Artificial intelligence, 2023-05, Vol.5 (3), p.e220246-e220246

2023

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MedGAN: Medical image translation using GANs

Computerized medical imaging and graphics, 2020-01, Vol.79, p.101684-101684, Article 101684

2020

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Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations

Computerized medical imaging and graphics, 2023-03, Vol.104, p.102174-102174, Article 102174

2023

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Adversarial Inpainting of Medical Image Modalities

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.3267-3271

2019

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LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging

IEEE transactions on medical imaging, 2021-12, Vol.40 (12), p.3686-3697

2021

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Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort

Computer methods and programs in biomedicine, 2022-10, Vol.225, p.107085-107085, Article 107085

2022

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Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging

IEEE transactions on medical imaging, 2024-08, Vol.43 (8), p.3013-3026

2024

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Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations

Machine Learning for Medical Image Reconstruction, p.24-33

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Uncertainty-Guided Progressive GANs for Medical Image Translation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.614-624

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ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging

2020 IEEE International Conference on Image Processing (ICIP), 2020, p.3005-3009

2020

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Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.1550-1554

2019

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Unsupervised Adversarial Correction of Rigid MR Motion Artifacts

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.1494-1498

2020

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Uncertainty-Based Biological Age Estimation of Brain MRI Scans

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.1100-1104

2021

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Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.1145-1149

2021

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Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies

Radiology. Artificial intelligence, 2020-11, Vol.2 (6), p.e200010-e200010

2020

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Automated Detection of High FDG Uptake Regions in CT Images

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.1065-1069

2018

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ImFEATbox: a toolbox for extraction and analysis of medical image features

International journal for computer assisted radiology and surgery, 2018-12, Vol.13 (12), p.1881-1893

2018

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Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data

Nature biomedical engineering, 2023-08, Vol.7 (8), p.1014-1027

2023

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Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation

Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study

Real Time Landmark Detection for Within- and Cross Subject Tracking with Minimal Human Supervision

MR-based respiratory and cardiac motion correction for PET imaging

Avoiding shortcut-learning by mutual information minimization in deep learning-based image processing

Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow

Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk

AI Transformers for Radiation Dose Reduction in Serial Whole-Body PET Scans

MedGAN: Medical image translation using GANs

Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations

Adversarial Inpainting of Medical Image Modalities

LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging

Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort

Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging

Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations

Uncertainty-Guided Progressive GANs for Medical Image Translation

ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging

Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans

Unsupervised Adversarial Correction of Rigid MR Motion Artifacts

Uncertainty-Based Biological Age Estimation of Brain MRI Scans

Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies

Automated Detection of High FDG Uptake Regions in CT Images

ImFEATbox: a toolbox for extraction and analysis of medical image features

Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data

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