Elisabeth Weiland - Department of MR Application Predevelopment, Siemens Healthcare

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论文共 84 篇作者统计合作学者相似作者

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Improved Image Quality Through Deep Learning Acceleration of Gradient-Echo Acquisitions in Uterine MRI: First Application with the Female Pelvis

Daniel Hausmann, Antonio Marketin, Roman Rotzinger,Jakob Heimer,Dominik Nickel,Elisabeth Weiland,Rahel A. Kubik-Huch

Academic Radiology (2025)

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Deep Learning Reconstruction for Accelerated 3-D Magnetic Resonance Cholangiopancreatography

Jan M. Brendel, Reza Dehdab, Judith Herrmann,Stephan Ursprung,Sebastian Werner, Haidara Almansour,Elisabeth Weiland,Dominik Nickel,Konstantin Nikolaou,Saif Afat,Sebastian Gassenmaier

La radiologia medicano. 5 (2025): 714-722

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Faster Acquisition and Improved Image Quality of T2-Weighted Dixon Breast MRI at 3T Using Deep Learning: A Prospective Study

Caroline Wilpert,Hannah Schneider,Alexander Rau, Maximilian Frederic Russe,Benedict Oerther,Ralph Strecker, Marcel Dominic Nickel,Elisabeth Weiland,Alexa Haeger,Matthias Benndorf,Thomas Mayrhofer,Jakob Weiss,Fabian Bamberg,Marisa Windfuhr-Blum,Jakob Neubauer

KOREAN JOURNAL OF RADIOLOGY（2025）

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Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 Mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis

Felix Kubicka, Qinxuan Tan, Tom Meyer,Dominik Nickel,Elisabeth Weiland, Moritz Wagner,Stephan Rodrigo Marticorena Garcia

CURRENT ONCOLOGY（2025）

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Deep Learning Image Reconstruction of Diffusion-Weighted Imaging in Evaluation of Prostate Cancer Focusing on Its Clinical Implications

Juhyun Jeong,Suk Keu Yeom,In Young Choi,Sang Hoon Cha,Ji Sung Han,Chang Hee Lee,Deuk Jae Sung,Jung-Woo Choi,Jae Hyun Bae,Hangseok Choi,Inseong Kim,Thomas Benkert,Elisabeth Weiland

QUANTITATIVE IMAGING IN MEDICINE AND SURGERYno. 5 (2024)

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Deep Learning K-Space-to-image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI

Stephanie Tina Sauer,Sara Aniki Christner,Anna-Maria Lois,Piotr Woznicki,Carolin Curtaz,Andreas Steven Kunz,Elisabeth Weiland,Thomas Benkert,Thorsten Alexander Bley,Bettina Baessler,Jan-Peter Grunz

JOURNAL OF MAGNETIC RESONANCE IMAGINGno. 3 (2024): 1190-1200

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Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T

Susann-Cathrin Olthof,Elisabeth Weiland,Thomas Benkert,Daniel Wessling,Daniel Leyhr,Saif Afat,Konstantin Nikolaou,Heike Preibsch

DIAGNOSTICS（2024）

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Performance of an Ultra-Fast Deep-Learning Accelerated MRI Screening Protocol for Prostate Cancer Compared to a Standard Multiparametric Protocol

B. Oerther, H. Engel, A. Nedelcu,R. Strecker,T. Benkert,D. Nickel,E. Weiland,T. Mayrhofer,F. Bamberg,M. Benndorf,J. Weiß,C. Wilpert

European Radiology (2024)

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Enhancing Diffusion-Weighted Prostate MRI Through Self-Supervised Denoising and Evaluation

Laura Pfaff, Omar Darwish,Fabian Wagner,Mareike Thies,Nastassia Vysotskaya,Julian Hossbach,Elisabeth Weiland,Thomas Benkert, Cornelius Eichner,Dominik Nickel,Tobias Wuerfl,Andreas Maier

SCIENTIFIC REPORTS（2024）

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Ultrafast T2-weighted MR Imaging of the Urinary Bladder Using Deep Learning-Accelerated HASTE at 3 Tesla

Li Yan, Qinxuan Tan, David Kohnert, Marcel Nickel,Elisabeth Weiland, Fleix Kubicka,Paul Jahnke,Moritz Wagner,Thula Cannon Walter-Rittel

crossref（2024）

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