J. Herrmann

发表

Comprehensive clinical evaluation of a deep learning-accelerated, single-breath-hold abdominal HASTE at 1.5 T and 3 T.

Daniel Wessling, D. Nickel, S. Afat, 2022, Academic radiology.

Development and Evaluation of Deep Learning-Accelerated Single-Breath-Hold Abdominal HASTE at 3 T Using Variable Refocusing Flip Angles

J. Mugler, K. Nikolaou, D. Nickel, 2021, Investigative radiology.

Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence

Daniel Wessling, D. Nickel, S. Afat, 2022, Tomography.

Clinical Implementation of Deep Learning-Accelerated HASTE and TSE

D. Nickel, S. Afat, A. Othman, 2021 .

Deep learning-based super-resolution gradient echo imaging of the pancreas: Improvement of image quality and reduction of acquisition time.

Daniel Wessling, S. Kannengiesser, D. Nickel, 2022, Diagnostic and interventional imaging.

Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications

S. Faby, Gerald Hefferman, C. Artzner, 2022, Diagnostics.

Clinical Evaluation of an Abbreviated Contrast-Enhanced Whole-Body MRI for Oncologic Follow-Up Imaging

S. Afat, A. Othman, J. Herrmann, 2021, Diagnostics.

Use of Cone-Beam Computed Tomography (CBCT) for Targeting the Portal Vein in Transjugular Intrahepatic Portosystemic Shunt (TIPS) Procedures: Comparison of Low-Dose with Standard-Dose CBCT

K. Nikolaou, C. Artzner, U. Grosse, 2021, Iranian Journal of Radiology.

Fetal 4D flow MRI of the great thoracic vessels at 3 Tesla using Doppler-ultrasound gating: a feasibility study

F. Kording, P. Bannas, J. Herrmann, 2022, European Radiology.

Prospective intraindividual comparison of a standard 2D TSE MRI protocol for ankle imaging and a deep learning-based 2D TSE MRI protocol with a scan time reduction of 48%

F. Springer, D. Nickel, S. Afat, 2023, La radiologia medica.

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

D. Nickel, S. Afat, Mahmoud Mostapha, 2021, European journal of radiology.

Die multiparametrische MRT der Prostata: Anforderungen und Grundlagen der Befundung

J. Herrmann, Stephan Ursprung, F. Seith, 2023, Die Urologie.

Deep Learning MRI Reconstruction for Accelerating Turbo Spin Echo Hand and Wrist Imaging: A Comparison of Image Quality, Visualization of Anatomy, and Detection of Common Pathologies with Standard Imaging.

D. Nickel, S. Afat, A. Othman, 2023, Academic radiology.

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

M. Nadar, D. Nickel, Mahmoud Mostapha, 2021, Diagnostics.

Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction

E. Weiland, Daniel Wessling, D. Nickel, 2023, Cancers.

Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging

Daniel Wessling, D. Nickel, S. Afat, 2022, Diagnostics.

Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T

Daniel Wessling, D. Nickel, S. Afat, 2021, Investigative radiology.

Image Quality Improvement of Dynamic Contrast-Enhanced Gradient Echo Magnetic Resonance Imaging by Iterative Denoising and Edge Enhancement

S. Kannengiesser, D. Nickel, S. Afat, 2021, Investigative radiology.

Application of a Novel Iterative Denoising and Image Enhancement Technique in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of the Abdomen: Improvement of Image Quality and Diagnostic Confidence.

S. Kannengiesser, D. Nickel, S. Afat, 2020, Investigative radiology.

Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction.

E. Weiland, T. Benkert, S. Afat, 2022, Diagnostic and interventional imaging.

Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol

D. Nickel, S. Afat, Mahmoud Mostapha, 2022, European Radiology.

Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?

K. Nikolaou, D. Nickel, S. Afat, 2021, Diagnostics.

Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE Imaging

K. Nikolaou, S. Afat, Mahmoud Mostapha, 2021, Cancers.

Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-Hold.

D. Nickel, S. Afat, A. Othman, 2020, Investigative radiology.

Accelerated Three-dimensional T2-Weighted Turbo-Spin-Echo Sequences with Inner-Volume Excitation and Iterative Denoising in the Setting of Pelvis MRI at 1.5T: Impact on Image Quality and Lesion Detection.

Bernd Kuehn, E. Weiland, S. Kannengiesser, 2022, Academic radiology.

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

Daniel Wessling, S. Kannengiesser, D. Nickel, 2023, La radiologia medica.

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

M. Nadar, D. Nickel, S. Afat, 2022, Radiology.

Clinical Implementation of Deep Learning MR reconstruction for TSE Sequences: Reduction of Acquisition Time and Maintenance

Mahmoud Mostapha, Mariappan Nadar, Thomas Kuestner, 2021 .

Background enhancement in contrast-enhanced spectral mammography (CESM): are there qualitative and quantitative differences between imaging systems?

Daniel Wessling, Susann-Cathrin Olthof, J. Herrmann, 2022, European Radiology.

Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imaging.

E. Weiland, T. Benkert, S. Afat, 2023, European Journal of Radiology.

1.5 vs 3 Tesla Magnetic Resonance Imaging

K. Nikolaou, A. Radbruch, D. Paech, 2021, Investigative radiology.

Combining virtual monoenergetic imaging and iterative metal artifact reduction in first-generation photon-counting computed tomography of patients with dental implants

S. Afat, J. Herrmann, B. Petritsch, 2023, European Radiology.