Showing 101 - 120 results of 2,147 for search '"MRI"', query time: 0.09s Refine Results
  1. 101

    Use of Texture Analysis on Noncontrast MRI in Classification of Early Stage of Liver Fibrosis by Ru Zhao, Xi-Jun Gong, Ya-Qiong Ge, Hong Zhao, Long-Sheng Wang, Hong-Zhen Yu, Bin Liu

    Published 2021-01-01
    “…Conclusion. Noncontrast MRI scans with texture analysis are viable for classifying the early stages of liver fibrosis, exhibiting excellent diagnostic performance.…”
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    Article
  2. 102
  3. 103

    Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation by Lana Wang, Zhenyu Yang, Zhenyu Yang, Dominic LaBella, Zachary Reitman, John Ginn, Jingtong Zhao, Justus Adamson, Kyle Lafata, Kyle Lafata, Kyle Lafata, Evan Calabrese, John Kirkpatrick, Chunhao Wang

    Published 2025-01-01
    “…Gross tumor volumes (GTVs) were contoured by a single experienced radiation oncologist on high-resolution contrast-enhanced T1 MRI scans (T1ce), and both T1 and T1ce images were utilized for segmentation. …”
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  4. 104

    Imaging cell spheroid clusters: An MRI protocol for non-invasive standardized characterization by Rebecca Wißmann, Petros Martirosian, Marina Danalache, Gerd Grözinger, Fritz Schick, Stefanie Elser

    Published 2025-01-01
    “…This work reports on the development of an MRI-compatible setup for culturing cell spheroids, tailored for use with standard 3 T whole-body MRI systems. …”
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    Article
  5. 105
  6. 106

    Quantifying Liver Cirrhosis by Extracting Significant Features from MRI T2 Image by Ming-Hong Hshiao, Po-Chou Chen, Jo-Chi Jao, Yung-Hui Huang, Chen-Chang Lee, Shih-Yu Chao, Li-Wei Lin, Tai-Been Chen

    Published 2012-01-01
    “…However, the quantification of liver cirrhosis by extracting significant features from a T2-weighted magnetic resonance image (MRI) provides useful diagnostic information in clinical tests. …”
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    Article
  7. 107
  8. 108

    Cancer Detection Rates of Systematic and Targeted Prostate Biopsies after Biparametric MRI by Maudy C. W. Gayet, Anouk A. M. A. van der Aa, Harrie P. Beerlage, Bart Ph Schrier, Maaike Gielens, Roel Heesakkers, Gerrit J. Jager, Peter F. A. Mulders, Hessel Wijkstra

    Published 2020-01-01
    “…An in-patient control study of 82 men undergoing SB and subsequent TB in case of positive prostate MRI between 2015 and 2017 in the Jeroen Bosch Hospital, the Netherlands. …”
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  9. 109

    A survey of MRI-based brain tissue segmentation using deep learning by Liang Wu, Shirui Wang, Jun Liu, Lixia Hou, Na Li, Fei Su, Xi Yang, Weizhao Lu, Jianfeng Qiu, Ming Zhang, Li Song

    Published 2024-12-01
    “…This survey examines both deep learning and MRI, providing an overview of the latest advances in fetal, infant, and adult brain tissue segmentation techniques based on deep learning. …”
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    Article
  10. 110
  11. 111

    Advances in functional MRI research in bipolar disorder: from the perspective of mood states by Yun-Ai Su, Tianmei Si, Yankun Wu, Linlin Zhu, Jitao Li

    Published 2024-02-01
    “…Current breakthroughs in functional MRI techniques have uncovered the functional neuroanatomy of bipolar disorder. …”
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    Article
  12. 112

    MRI Guided Focused Ultrasound Thalamotomy for Moderate-to-Severe Tremor in Parkinson’s Disease by Ilana Schlesinger, Ayelet Eran, Alon Sinai, Ilana Erikh, Maria Nassar, Dorith Goldsher, Menashe Zaaroor

    Published 2015-01-01
    “…Seven PD patients, mean age 59.4 ± 9.8 years (range, 46–74) with a mean disease duration of 5.4 ± 2.8 years (range, 2–10) suffering from severe refractory tremor, underwent ventral intermediate nucleus thalamotomy using MRI guided focused ultrasound (MRgFUS), an innovative technology that enables noninvasive surgery. …”
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    Article
  13. 113

    Suppression of MRI Truncation Artifacts Using Total Variation Constrained Data Extrapolation by Kai Tobias Block, Martin Uecker, Jens Frahm

    Published 2008-01-01
    “…The finite sampling of k-space in MRI causes spurious image artifacts, known as Gibbs ringing, which result from signal truncation at the border of k-space. …”
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    Article
  14. 114
  15. 115

    Multiple sclerosis diagnosis with brain MRI retrieval: A deep learning approach by R.M. Haggag, Eman M. Ali, M.E. Khalifa, Mohamed Taha

    Published 2025-03-01
    “…Early diagnosis is crucial due to its profound social and economic impacts. MRI is commonly used for monitoring abnormalities. …”
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    Article
  16. 116

    Small Magnets, Big Future: Low-Field MRI Technology and Clinical Utility by Mohamamdreza Elhaie, Abolfazl Koozari, Iraj Abedi, Mahmoud Mohammadi-Sadr, Abbas Monsef

    Published 2025-01-01
    “…Low-field MRI (LF-MRI) has both advantages and disadvantages over high-field units. …”
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  17. 117
  18. 118

    Multimodality Fusion with MRI, CT, and Ultrasound Contrast for Ablation of Renal Cell Carcinoma by Hayet Amalou, Bradford J. Wood

    Published 2012-01-01
    “…EM tracking software merges and fuses different imaging modalities such as MRI, CT, and ultrasound and can also display the position of needles in real time in relation to preprocedure imaging, which may better define tumor targets than available intraoperative imaging. …”
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  19. 119

    MRI Features with Pathologic Correlation of Primary Ovarian Carcinoid: A Case Report by Bon Jae Koo, Seong Kuk Yoon, Min Gyoung Pak, Kyeong Ah Kim

    Published 2025-01-01
    “…Here, we report on the case of a 51-year-old female with surgically confirmed primary ovarian carcinoid, describe the MRI features of the tumor, and correlate them with the pathological findings.…”
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  20. 120