Dominik Nickel - Dissemin

Papers authored by Dominik Nickel

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2024 Junhao Huang, Daihong Liu, Jiao Chen, Xiaoxia Wang, Lin Tang, Jing Zhang, Yong Tan, Xiaosong Lan, Ting Yin, Dominik Nickel

, Jian Wu, Jiuquan Zhang

Differential diagnosis of thyroid nodules by DCE-MRI based on compressed sensing volumetric interpolated breath-hold examination: A feasibility study

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Girish Bathla, Steven A. Messina, David F. Black, John C. Benson, Peter Kollasch, Marcel D. Nickel

, Neetu Soni, Brian C. Rucker, Ian T. Mark, Felix E. Diehn, Amit Agarwal

Deep Learning Based Reconstruction of 3D-T1-SPACE Vessel Wall Imaging Provides Improved Image Quality with Reduced Scan Times: A Preliminary Study

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Ricardo Donners

, Jan Vosshenrich, Magdalena Seng, Matthias Fenchel, Marcel Dominik Nickel

, Michael Bach, Florian Schmaranzer, Inga Todorski, Markus M. Obmann, Dorothee Harder, Hanns-Christian Breit

Deep Learning Reconstructed New-Generation 0.55 T MRI of the Knee—A Prospective Comparison With Conventional 3 T MRI

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Felix Schlicht, Jan Vosshenrich, Ricardo Donners, Alina Carolin Seifert, Matthias Fenchel, Dominik Nickel

, Markus Obmann, Dorothee Harder, Hanns-Christian Breit

Advanced deep learning-based image reconstruction in lumbar spine MRI at 0.55 T – Effects on image quality and acquisition time in comparison to conventional deep learning-based reconstruction

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Seungeun Lee, Joon-Yong Jung, Heeyoung Chung, Hyun-Soo Lee, Dominik Nickel

, Jooyeon Lee, So-Yeon Lee

Comparative analysis of image quality and interchangeability between standard and deep learning-reconstructed T2-weighted spine MRI

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Yuxue Xie, Xiangwen Li, Yiwen Hu, Changyan Liu, Haoyu Liang, Dominik Nickel

, Caixia Fu, Shuang Chen, Hongyue Tao

Deep learning reconstruction for turbo spin echo to prospectively accelerate ankle MRI: A multi-reader study

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Judith Herrmann, You-Shan Feng, Sebastian Gassenmaier, Jan-Peter Grunz

, Gregor Koerzdoerfer, Andreas Lingg, Haidara Almansour, Dominik Nickel

, Ahmed E. Othman, Saif Afat

Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 Tesla

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Akane Ohashi, Masako Kataoka, Maya Honda, Mami Iima, Yuta Urushibata, Marcel D. Nickel

, Daniel Förnvik, Yuji Nakamoto

The added value of abbreviated MRI with UF DCE-MRI and DWI on digital breast tomosynthesis in diagnosing breast lesions

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B. Oerther

, H. Engel, A. Nedelcu, R. Strecker, T. Benkert, D. Nickel

, E. Weiland, T. Mayrhofer, F. Bamberg, M. Benndorf, J. Weiß, C. Wilpert

Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol

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This paper is made freely available by the publisher.

Ying Cao, Yao Huang, Xianglong Chen, Wei Wang, Huifang Chen, Ting Yin, Dominik Nickel

, Changchun Li, Junhua Shao, Shi Zhang, Xiaoxia Wang, Jiuquan Zhang

Optimizing ultrafast dynamic contrast-enhanced MRI scan duration in the differentiation of benign and malignant breast lesions

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Qiong Li, Wei-Yue Xu, Na-Na Sun, Qiu-Xia Feng, Ya-Jun Hou, Zi-Tong Sang, Zhen-Ning Zhu, Yi-Cheng Hsu, Dominik Nickel

, Hao Xu, Yu-Dong Zhang, Xi-Sheng Liu

Deep learning-accelerated T2WI: image quality, efficiency, and staging performance against BLADE T2WI for gastric cancer

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Xiaodong Zhong

, Marcel D. Nickel

, Stephan A. R. Kannengiesser, Brian M. Dale, Fei Han, Chang Gao, Shu‐Fu Shih

, Qing Dai, Omar Curiel, Tsu‐Chin Tsao, Holden H. Wu

, Vibhas Deshpande

Accelerated free‐breathing liver fat and R2* quantification using multi‐echo stack‐of‐radial MRI with motion‐resolved multidimensional regularized reconstruction: Initial retrospective evaluation

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Su Min Yun, Seung Baek Hong

, Nam Kyung Lee, Suk Kim, Yea Hee Ji, Hyung Il Seo, Young Mok Park, Byeong Gwan Noh, Marcel Dominik Nickel

Deep learning-based image reconstruction for the multi-arterial phase images: improvement of the image quality to assess the small hypervascular hepatic tumor on gadoxetic acid-enhanced liver MRI

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Hong Wei, Jeong Hee Yoon, Sun Kyung Jeon, Jae Won Choi, Jihyuk Lee, Jae Hyun Kim, Marcel Dominik Nickel

, Bin Song, Ting Duan, Jeong Min Lee

Enhancing gadoxetic acid–enhanced liver MRI: a synergistic approach with deep learning CAIPIRINHA-VIBE and optimized fat suppression techniques

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Moon Hyung Choi, Seung Bae Yoon, Young Joon Lee, Eun Sun Jung, Seongyong Pak, Dongyeob Han, Dominik Nickel

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

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Hokun Kim, Moon Hyung Choi

, Young Joon Lee, Dongyeob Han, Mahmoud Mostapha, Dominik Nickel

Deep learning-accelerated T2-weighted imaging versus conventional T2-weighted imaging in the female pelvic cavity: image quality and diagnostic performance

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Jie Liu, Shujian Li, Qinchen Cao, Yong Zhang, Marcel Dominik Nickel

, Jinxia Zhu, Jingliang Cheng

ASO Visual Abstract: Prediction of Recurrent Cervical Cancer in 2 Years Follow-Up After Treatment Based on Quantitative and Qualitative Magnetic Resonance Imaging Parameters—A Preliminary Study

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Komal M. Awan

, Augusto Lio M. Goncalves Filho

, Azadeh Tabari, Brooks P. Applewhite

, Min Lang, Wei-Ching Lo, Robert Sellers, Peter Kollasch, Bryan Clifford, Dominik Nickel

, Jad Husseni, Otto Rapalino, Pamela Schaefer, Stephen Cauley, Susie Y. Huang and 1 other authors

Diagnostic evaluation of deep learning accelerated lumbar spine MRI

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

J. Kim, Nickel

, F. Knoll

Accelerated MR Cholangiopancreatography with Deep Learning-based Reconstruction

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Yoonhee Lee

, Sungjin Yoon

, So Hyun Park

, Marcel Dominik Nickel

Advanced Abdominal MRI Techniques and Problem-Solving Strategies

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Papers authored by Dominik Nickel