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10篇 您的检索式:作者名="Kodibagkar"
    题名 作者 年代 出处 被引量
1Imaging beta-galactosidase activity using 19F chemical shift imaging of LacZ gene-reporter molecule 2-fluoro-4-nitrophenol- beta- D-galactopyranoside 显示文摘Kodibagkar VD Yu J Liu L 2006Magn Reson Imaging2006,24,7:1
2S-Gal, a novel 'H MRI reporter for beta-galactosidase显示文摘Cui W Liu L Kodibagkar VD 2010Magn Reson Med2010,64,:1
3On the potential for molecular imaging with Cerenkov lumi- neseenee显示文摘Lewis M A Kodibagkar V D Oz O K 2010Optics Letters2010,35,23:1
4Principles and emerging applications of nanomagnetic materials in medicine显示文摘Veronica Clavijo‐Jordan Vikram D. Kodibagkar Scott C. Beeman Bradley D. Hann Kevin M. Bennett 2012WIREs Nanomed Nanobiotechnol2012,,4:1
5Tumour oxygen dynamics measured simultaneously by near-infrared spectroscopy and 19F magnetic resonance imaging in rats显示文摘Xia M Kodibagkar V Liu H 2006Phys Med Bioi2006,51,1:1
6MR imaging of diffusion(3)He gas in healthy and diseased lungs显示文摘Saam BT Yablonskiy DA Kodibagkar VD et a1 2000Magn Reson Med2000,44,4:1
7MR imaging of diffusion of ^3He gas in healthy and diseased lungs显示文摘Saam B Yablonskiy D Kodibagkar V 2000Magn Reson Med2000,44,2:1
8A versatile reporter for non-invasive physiology and pharmacology using magnetic resonance显示文摘Yu Jian-xin Kodibagkar V D Cui Weina 2005Curr Med Chem2005,12,7:1
9Methods for improving colorectal cancer annotation efficiency for artificial intelligence-observer training显示文摘BACKGROUND Missing occult cancer lesions accounts for the most diagnostic errors in retrospective radiology reviews as early cancer can be small or subtle,making the lesions difficult to detect.Secondobserver is the most effective technique for reducing these events and can be economically implemented with the advent of artificial intelligence(AI).AIM To achieve appropriate AI model training,a large annotated dataset is necessary to train the AI models.Our goal in this research is to compare two methods for decreasing the annotation time to establish ground truth:Skip-slice annotation and AI-initiated annotation.METHODS We developed a 2D U-Net as an AI second observer for detecting colorectal cancer(CRC)and an ensemble of 5 differently initiated 2D U-Net for ensemble technique.Each model was trained with 51 cases of annotated CRC computed tomography of the abdomen and pelvis,tested with 7 cases,and validated with 20 cases from The Cancer Imaging Archive cases.The sensitivity,false positives per case,and estimated Dice coefficient were obtained for each method of training.We compared the two methods of annotations and the time reduction associated with the technique.The time differences were tested using Friedman’s two-way analysis of variance.RESULTS Sparse annotation significantly reduces the time for annotation particularly skipping 2 slices at a time(P<0.001).Reduction of up to 2/3 of the annotation does not reduce AI model sensitivity or false positives per case.Although initializing human annotation with AI reduces the annotation time,the reduction is minimal,even when using an ensemble AI to decrease false positives.CONCLUSION Our data support the sparse annotation technique as an efficient technique for reducing the time needed to establish the ground truth.Matthew Grudza Brandon Salinel Sarah Zeien Matthew Murphy Jake Adkins Corey T Jensen Curtis Bay Vikram Kodibagkar Phillip Koo Tomislav Dragovich Michael A Choti Madappa Kundranda Tanveer Syeda-Mahmood Hong-Zhi Wang John Chang 2023World Journal of Radiology2023,15,12:0
10压缩感知可以加速医用1H核磁代谢成像过程显示文摘目的回顾性评测使用压缩感知(compressedsensing)技术进行不同程度的核磁成像过程(MR)加速,对所得结果保真度的影响。材料和方法本文中的实验手段均由所在院校伦理审查委员会(Institutional Review Board,IRB)审查通过,采集MR成像数据前获得了患者书面知情同意。本研究遵守《健康保险携带和责任法案》(Health Insurance Portability and Accountability Act,HIPAA)。回顾性压缩感知技术被用于10名实验对象的核磁共振成像过程中,并获取了以下体素数据:600个来自6名健康对象的脑部;163个来自两名脑瘤患者的脑部;36个来自于两名前列腺癌患者。研究人员在加速常数分别为2,3,4,5,10的条件下进行核磁信号的重建,并通过均方根误差(RMSE)法,代谢物图谱(包括胆碱,肌酸,N乙酰天冬氨酸[NAA],柠檬酸)以及统计学分析(包括基于单个体素的配对t检验,代谢图谱上不同变量的单因素误差分析,以及加速重建后与原始变量的比值)进行评估。结果使用不超过10的加速常数,重建核磁信号的保真度很高,RMSE很低(〈0.05)。在加速常数不超过5的情况下,重建信号的平均生化信号强度和生化热点位置与原信号非常接近,二者之间没有统计学意义上的显著差异。在加速常数不超过5的重建信号中,胆碱/NAA以及(胆碱+肌酸),柠檬酸的比值与原始信号并无显著差异,在部分加速常数为10的重建信号中上述条件亦成立。结论本文阐明了一种最高能够将采样时间降低80%,同时保持信号信息量的医用^1H核磁生化成像过程。Sairam Geethanath, MS Hyeon-Man Baek, PhD Sandeep K. Ganji, BE Yao Ding, MS Elizabeth A. Maher, MD Robert D. Sims, MD Changho Choi, PhD Matthew A. Lewis, PhD Vikram D. Kodibagkar, PhD 2012中国医疗设备2012,27,7:0
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