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How many phases meet at the chiral critical point?

Physical review letters, 2009-08, Vol.103 (7), p.072301-072301, Article 072301

Nickel, Dominik

2009

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Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality

European journal of radiology, 2021-04, Vol.137, p.109600-109600, Article 109600

2021

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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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Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning–based image reconstruction: qualitative and quantitative comparison of image quality with conventional T2-weighted FS sequence

European radiology, 2021-11, Vol.31 (11), p.8447-8457

2021

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T1 mapping, T2 mapping and MR elastography of the liver for detection and staging of liver fibrosis

Abdominal radiology (New York), 2020-03, Vol.45 (3), p.692-700

2020

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T1 mapping for liver function evaluation in gadoxetic acid–enhanced MR imaging: comparison of look-locker inversion recovery and B1 inhomogeneity–corrected variable flip angle method

European radiology, 2019-07, Vol.29 (7), p.3584-3594

2019

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Native T1 mapping for differentiating the histopathologic type, grade, and stage of rectal adenocarcinoma: a pilot study

Cancer imaging, 2022-06, Vol.22 (1), p.1-30, Article 30

2022

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Gd-EOB-DTPA-enhanced MRI for evaluation of liver function: Comparison between signal-intensity-based indices and T1 relaxometry

Scientific reports, 2017-03, Vol.7 (1), p.43347-43347, Article 43347

2017

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Quantification of contrast agent uptake in the hepatobiliary phase helps to differentiate hepatocellular carcinoma grade

Scientific reports, 2021-11, Vol.11 (1), p.22991-22991, Article 22991

2021

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Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability

Radiology, 2023-03, Vol.306 (3), p.e212922-e212922

2023

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Extraction of spectral functions from Dyson–Schwinger studies via the maximum entropy method

Annals of physics, 2007-08, Vol.322 (8), p.1949-1960

Nickel, Dominik

2007

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Self-supervised MRI denoising: leveraging Stein's unbiased risk estimator and spatially resolved noise maps

Scientific reports, 2023-12, Vol.13 (1), p.22629-22629, Article 22629

2023

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MR elastography, T1 and T2 relaxometry of liver: role in noninvasive assessment of liver function and portal hypertension

Abdominal radiology (New York), 2020-09, Vol.45 (9), p.2680-2687

2020

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Time to enhancement of breast lesions and normal breast parenchyma in light of menopausal status and menstrual cycle for ultrafast dynamic contrast-enhanced MRI using compressed sensing

Magnetic resonance imaging, 2023-02, Vol.96, p.102-107

2023

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Application of deep learning-based super-resolution to T1-weighted postcontrast gradient echo imaging of the chest

Radiologia medica, 2023-02, Vol.128 (2), p.184-190

2023

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CS-VIBE accelerates cranial nerve MR imaging for the diagnosis of facial neuritis: comparison of the diagnostic performance of post-contrast MPRAGE and CS-VIBE

European radiology, 2022, Vol.32 (1), p.223-233

2022

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Feasibility and clinical usefulness of deep learning-accelerated MRI for acute painful fracture patients wearing a splint: A prospective comparative study

PloS one, 2023-06, Vol.18 (6), p.e0287903-e0287903

2023

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Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging

Diagnostics (Basel), 2021-08, Vol.11 (8), p.1484

2021

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T1 mapping, T2 mapping and MR elastography of the liver for detection and staging of liver fibrosis

Abdominal radiology (New York), 2020-03, Vol.45 (3), p.692-700

2020

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Extracellular volume fraction with MRI: As an alternative predictive biomarker to dynamic contrast-enhanced MRI for chemotherapy response of pancreatic ductal adenocarcinoma

European journal of radiology, 2021-12, Vol.145, p.110036-110036, Article 110036

2021

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Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction

Cancers, 2023-01, Vol.15 (3), p.578

2023

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Rim enhancement of pancreatic ductal adenocarcinoma: investigating the relationship with DCE-MRI-based radiomics and next-generation sequencing

Frontiers in oncology, 2024, Vol.14, p.1304187-1304187

2024

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Free-Breathing Dynamic Contrast-Enhanced Imaging of the Upper Abdomen Using a Cartesian Compressed-Sensing Sequence With Hard-Gated and Motion-State-Resolved Reconstruction

Investigative radiology, 2019-11, Vol.54 (11), p.728

2019

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Deep learning–guided weighted averaging for signal dropout compensation in DWI of the liver

Magnetic resonance in medicine, 2022-12, Vol.88 (6), p.2679-2693

2022

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A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI

European radiology, 2023-11, Vol.33 (11), p.8132-8141

2023

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How many phases meet at the chiral critical point?

Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality

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

Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning–based image reconstruction: qualitative and quantitative comparison of image quality with conventional T2-weighted FS sequence

T1 mapping, T2 mapping and MR elastography of the liver for detection and staging of liver fibrosis

T1 mapping for liver function evaluation in gadoxetic acid–enhanced MR imaging: comparison of look-locker inversion recovery and B1 inhomogeneity–corrected variable flip angle method

Native T1 mapping for differentiating the histopathologic type, grade, and stage of rectal adenocarcinoma: a pilot study

Gd-EOB-DTPA-enhanced MRI for evaluation of liver function: Comparison between signal-intensity-based indices and T1 relaxometry

Quantification of contrast agent uptake in the hepatobiliary phase helps to differentiate hepatocellular carcinoma grade

Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability

Extraction of spectral functions from Dyson–Schwinger studies via the maximum entropy method

Self-supervised MRI denoising: leveraging Stein's unbiased risk estimator and spatially resolved noise maps

MR elastography, T1 and T2 relaxometry of liver: role in noninvasive assessment of liver function and portal hypertension

Time to enhancement of breast lesions and normal breast parenchyma in light of menopausal status and menstrual cycle for ultrafast dynamic contrast-enhanced MRI using compressed sensing

Application of deep learning-based super-resolution to T1-weighted postcontrast gradient echo imaging of the chest

CS-VIBE accelerates cranial nerve MR imaging for the diagnosis of facial neuritis: comparison of the diagnostic performance of post-contrast MPRAGE and CS-VIBE

Feasibility and clinical usefulness of deep learning-accelerated MRI for acute painful fracture patients wearing a splint: A prospective comparative study

Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging

T1 mapping, T2 mapping and MR elastography of the liver for detection and staging of liver fibrosis

Extracellular volume fraction with MRI: As an alternative predictive biomarker to dynamic contrast-enhanced MRI for chemotherapy response of pancreatic ductal adenocarcinoma

Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction

Rim enhancement of pancreatic ductal adenocarcinoma: investigating the relationship with DCE-MRI-based radiomics and next-generation sequencing

Free-Breathing Dynamic Contrast-Enhanced Imaging of the Upper Abdomen Using a Cartesian Compressed-Sensing Sequence With Hard-Gated and Motion-State-Resolved Reconstruction

Deep learning–guided weighted averaging for signal dropout compensation in DWI of the liver

A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI

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