Dominik Nickel - Dissemin

Papers authored by Dominik Nickel

This paper is made freely available by the publisher.

2022 Jing Ren, Yuan Li, Fei-Shi Liu, Chong Liu, Jin-Xia Zhu, Marcel Dominik Nickel

, Xiao-Ye Wang, Xin-Yu Liu, Jia Zhao, Yong-Lan He

, Zheng-Yu Jin, Hua-Dan Xue

Comparison of a deep learning-accelerated T2-weighted turbo spin echo sequence and its conventional counterpart for female pelvic MRI: reduced acquisition times and improved image quality

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Wei Mao, Xiaoqiang Ding, Yuqin Ding, Bohong Cao, Caixia Fu, Bernd Kuehn, Thomas Benkert, Robert Grimm, Dominik Nickel

, Jianjun Zhou

, Mengsu Zeng

Evaluation of interstitial fibrosis in chronic kidney disease by multiparametric functional MRI and histopathologic analysis

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This paper was not found in any repository, but could be made available legally by the author.

Seungchul Han, Jeong Min Lee, Se Woo Kim, Sungeun Park, Marcel Dominik Nickel

, Jeong Hee Yoon

Evaluation of HASTE T2 weighted image with reduced echo time for detecting focal liver lesions in patients at risk of developing hepatocellular carcinoma

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Tianwen Xie

, Tingting Jiang, Qiufeng Zhao, Caixia Fu, Marcel Dominik Nickel

, Weijun Peng

, Yajia Gu

Model‐Free and Model‐based Parameters Derived From CAIPIRINHA‐Dixon‐TWIST‐VIBE DCE‐MRI : Associations With Prognostic Factors and Molecular Subtypes of Invasive Ductal Breast Cancer

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Sébastien Mulé

, Rym Kharrat, Pierre Zerbib, Aurélien Massire

, Marcel Dominik Nickel

, Khalid Ambarki

, Edouard Reizine

, Laurence Baranes, Benhalima Zegai, Frederic Pigneur, Hicham Kobeiter, Alain Luciani

Fast T2-weighted liver MRI: Image quality and solid focal lesions conspicuity using a deep learning accelerated single breath-hold HASTE fat-suppressed sequence

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Anke Heidemeier, Wiebke Schloetelburg, Annette Thurner, Corona Metz

, Heike Heidemeier, Leo Rasche, K. Martin Kortuem, David Boeckle, Elisabeth Weiland, Thomas Benkert, Dominik Nickel

, Rudolf Werner, Andreas Konrad Buck, Thorsten Alexander Bley

Multi-parametric whole-body MRI evaluation discerns vital from non-vital multiple myeloma lesions as validated by 18F-FDG and 11C-methionine PET/CT

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Daniel Wessling, Judith Herrmann

, Saif Afat

, Dominik Nickel

, Haidara Almansour, Gabriel Keller

, Ahmed E. Othman, Andreas S. Brendlin

, Sebastian Gassenmaier

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

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Luke A. Ginocchio

, Paul N. Smereka, Angela Tong, Vinay Prabhu, Dominik Nickel

, Simon Arberet, Hersh Chandarana, Krishna P. Shanbhogue

Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection

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Yun-Woo Chang

, Eun Ji Lee, Jiyoung Hwang, Dominik Nickel

, Jae Kon Sung

Analysis of Volumetric Perfusion Quantitative Parameters Using CS-VIBE Breast Dynamic Contrast Enhanced MR Imaging

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Hyun Kyung Lee, Ji Soo Song, Weon Jang, Dominik Nickel

, Mun Young Paek

Improved Single Breath-Hold SSFSE Sequence for Liver MRI Based on Compressed Sensing: Evaluation of Image Quality Compared with Conventional T2-Weighted Sequences

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Fasil Gadjimuradov

, Thomas Benkert, Marcel Dominik Nickel

, Tobit Führes

, Marc Saake, Andreas Maier

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

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Daniel Wessling, Judith Herrmann

, Saif Afat

, Dominik Nickel

, Ahmed E. Othman, Haidara Almansour, Sebastian Gassenmaier

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

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Haidara Almansour, Judith Herrmann, Sebastian Gassenmaier, Andreas Lingg, Marcel Dominik Nickel

, Stephan Kannengiesser, Simon Arberet, Ahmed E. Othman, Saif Afat

Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity

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MinWoo Kim, Sang-Min Lee, Chankue Park, Dongeon Lee, Kang Soo Kim, Hee Seok Jeong, Shinyoung Kim, Min-Hyeok Choi, Dominik Nickel

Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI

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Maya Honda

, Masako Kataoka

, Mami Iima

, Rie Ota, Akane Ohashi, Ayami Ohno Kishimoto, Kanae Kawai Miyake

, Marcel Dominik Nickel

, Yosuke Yamada

, Masakazu Toi, Yuji Nakamoto

Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer after Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype

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Katja Glutig

, Paul-Christian Krüger, Theresa Oberreuther, Marcel Dominik Nickel

, Ulf Teichgräber, Michael Lorenz, Hans-Joachim Mentzel, Martin Krämer

Preliminary results of abdominal simultaneous multi-slice accelerated diffusion-weighted imaging with motion-correction in patients with cystic fibrosis and impaired compliance

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Minkook Seo, Jimin Yoon, Yangsean Choi, Dominik Nickel

, Jinhee Jang, Na-Young Shin, Kook-Jin Ahn, Bum-Soo Kim

Image Quality of High-Resolution 3-Dimensional Neck MRI Using CAIPIRINHA-VIBE and GRASP-VIBE

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Daisuke Yoshimaru, Yoich Araki, Chifumi Matsuda, Natsuhiko Shirota, Yu Tajima, Shuhei Shibukawa, Katsutoshi Murata, Dominik Nickel

, Kazuhiro Saito

Evaluation of liver tumor identification rate of volumetric-interpolated breath-hold images using the compressed sensing method and qualitative evaluation of tumor contrast effect via visual evaluation

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Judith Herrmann, Gabriel Keller, Sebastian Gassenmaier, Dominik Nickel

, Gregor Koerzdoerfer, Mahmoud Mostapha, Haidara Almansour, Saif Afat, Ahmed E. Othman

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

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Papers authored by Dominik Nickel