Citations Report

Imaging in Medicine : Citations & Metrics Report

Articles published in Imaging in Medicine have been cited by esteemed scholars and scientists all around the world.

Imaging in Medicine has got h-index 25, which means every article in Imaging in Medicine has got 25 average citations.

Following are the list of articles that have cited the articles published in Imaging in Medicine.

• Shen G, Liang M, Su M, Kuang A. Physiological uptake of 18F-FDG in the vertebral bone marrow in healthy adults on PET/CT imaging. Acta Radiologica. 2018 Dec;59(12):1487-93. View at Publisher | View at Google Scholar | View at Indexing
• Huang HM, Lin C. A kernel-based image denoising method for improving parametric image generation. Medical image analysis. 2019 Jul 1;55:41-8. View at Publisher | View at Google Scholar | View at Indexing
• Guérit S, Jacques L, Macq B, Lee JA. Post-reconstruction deconvolution of pet images by total generalized variation regularization. In2015 23rd European Signal Processing Conference (EUSIPCO) 2015 (pp. 629-633). IEEE. View at Publisher | View at Google Scholar | View at Indexing
• Liberini V, Kotasidis F, Treyer V, Messerli M, Orita E, Engel-Bicik I, Siebenhüner A, Huellner MW. Impact of PET data driven respiratory motion correction and BSREM reconstruction of 68 Ga-DOTATATE PET/CT for differentiating neuroendocrine tumors (NET) and intrapancreatic accessory spleens (IPAS). Scientific Reports. 2021 Jan 26;11(1):1-3. View at Publisher | View at Google Scholar | View at Indexing
• Lim W, Kim B, Moon YL. Three-dimensional bioprinting for bone and cartilage transplantation. Ann. Joint. 2019 Jan 1;4(1):7. View at Publisher | View at Google Scholar | View at Indexing
• Murphy DJ, Royle L, Chalampalakis Z, Alves L, Martins N, Bassett P, Breen R, Nair A, Bille A, Chicklore S, Cook GJ. The effect of a novel Bayesian penalised likelihood PET reconstruction algorithm on the assessment of malignancy risk in solitary pulmonary nodules according to the British Thoracic Society guidelines. European journal of radiology. 2019 Aug 1;117:149-55. View at Publisher | View at Google Scholar | View at Indexing
• Murphy DJ, Royle L, Chalampalakis Z, Alves L, Martins N, Bassett P, Breen R, Nair A, Bille A, Chicklore S, Cook GJ. The effect of a novel Bayesian penalised likelihood PET reconstruction algorithm on the assessment of malignancy risk in solitary pulmonary nodules according to the British Thoracic Society guidelines. European journal of radiology. 2019 Aug 1;117:149-55. View at Publisher | View at Google Scholar | View at Indexing
• Camarlinghi N, Sportelli G, Del Guerra A, Belcari N. An automatic algorithm to exploit the symmetries of the system response matrix in positron emission tomography iterative reconstruction. Physics in Medicine & Biology. 2018 Sep 28;63(19):195005. View at Publisher | View at Google Scholar | View at Indexing
• Vyas KN, Grootendorst M, Mertzanidou T, Macholl S, Stoyanov D, Arridge SR, Tuch DS. Flexible scintillator autoradiography for tumor margin inspection using 18F-FDG. InMolecular-Guided Surgery: Molecules, Devices, and Applications IV 2018 Mar 1 (Vol. 10478, p. 1047811). International Society for Optics and Photonics. View at Publisher | View at Google Scholar | View at Indexing
• Ali S, Veltri R, Epstein JI, Christudass C, Madabhushi A. Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays. Computerized medical imaging and graphics. 2015 Apr 1;41:3-13. View at Publisher | View at Google Scholar | View at Indexing
• Wei L, El Naqa I. Artificial intelligence for response evaluation with PET/CT. InSeminars in Nuclear Medicine 2021 Mar 1 (Vol. 51, No. 2, pp. 157-169). WB Saunders. View at Publisher | View at Google Scholar | View at Indexing
• Daldrup-Link HE, Gambhir SS. Pediatric molecular imaging. InPediatric nuclear medicine and molecular imaging 2014 (pp. 571-595). Springer, New York, NY. View at Publisher | View at Google Scholar | View at Indexing
• Kurita, Y., Ichikawa, Y., Nakanishi, T., Tomita, Y., Hasegawa, D., Murashima, S., Hirano, T. and Sakuma, H., 2020. The value of Bayesian penalized likelihood reconstruction for improving lesion conspicuity of malignant lung tumors on 18 F-FDG PET/CT: comparison with ordered subset expectation maximization reconstruction incorporating time-of-flight model and point spread function correction. Annals of nuclear medicine, pp.1-8. View at Publisher | View at Google Scholar | View at Indexing
• Liu Z, Laforest R, Mhlanga J, Fraum TJ, Itani M, Dehdashti F, Siegel BA, Jha AK. Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images. InMedical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment 2021 Feb 15 (Vol. 11599, p. 1159905). International Society for Optics and Photonics. View at Publisher | View at Google Scholar | View at Indexing
• Holman B. Improving Quantification of PET/CT Biomarkers for Evaluation of Disease Progression and Treatment Effectiveness in Pulmonary Fibrosis (Doctoral dissertation, UCL (University College London)). View at Publisher | View at Google Scholar | View at Indexing
• Liu J, Malekzadeh M, Mirian N, Song TA, Liu C, Dutta J. Artificial intelligence-based image enhancement in PET imaging: noise reduction and resolution Enhancement. PET clinics. 2021 Oct 1;16(4):553-76. View at Publisher | View at Google Scholar | View at Indexing
• AlZubaidi AK, Sideseq FB, Faeq A, Basil M. Computer aided diagnosis in digital pathology application: Review and perspective approach in lung cancer classification. In2017 annual conference on new trends in information & Communications technology applications (NTICT) 2017 Mar 7 (pp. 219-224). IEEE. View at Publisher | View at Google Scholar | View at Indexing
• Gong K, Kim K, Cui J, Wu D, Li Q. The evolution of image reconstruction in PET: from filtered back-projection to artificial intelligence. PET clinics. 2021 Oct 1;16(4):533-42. View at Publisher | View at Google Scholar | View at Indexing
• Yu H, Chen Z, Zhang H, Loong Wong KK, Chen Y, Liu H. Reconstruction for 3D PET Based on Total Variation Constrained Direct Fourier Method. Plos one. 2015 Sep 23;10(9):e0138483. View at Publisher | View at Google Scholar | View at Indexing
• Xu Y, Jiao L, Wang S, Wei J, Fan Y, Lai M, Chang EI. Multi?label classification for colon cancer using histopathological images. Microscopy Research and Technique. 2013 Dec;76(12):1266-77. View at Publisher | View at Google Scholar | View at Indexing
• Wu Z, Qin Z, Huang B, Guo B, Hao X, Wu P, Zhao B, Xie J, Li S. Improved absolute quantification using Bayesian penalized likelihood reconstruction on a digital PET/CT–towards true uptake measurement. View at Publisher | View at Google Scholar | View at Indexing
• Kwak JT, Sankineni S, Xu S, Turkbey B, Choyke PL, Pinto PA, Moreno V, Merino M, Wood BJ. Prostate cancer: a correlative study of multiparametric MR imaging and digital histopathology. Radiology. 2017 Oct;285(1):147-56. View at Publisher | View at Google Scholar | View at Indexing
• Nolte T, Gross-Weege N, Schulz V. (Hybrid) SPECT and PET Technologies. InMolecular Imaging in Oncology 2020 (pp. 111-133). Springer, Cham. View at Publisher | View at Google Scholar | View at Indexing
• Herskovits EH. Artificial intelligence in molecular imaging. Annals of Translational Medicine. 2021 May;9(9). View at Publisher | View at Google Scholar | View at Indexing
• Sparks R, Madabhushi A. Out-of-sample extrapolation utilizing semi-supervised manifold learning (ose-ssl): Content based image retrieval for histopathology images. Scientific reports. 2016 Jun 6;6(1):1-5. View at Publisher | View at Google Scholar | View at Indexing
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• Musarudin M, Muhammad Safwan Selvam HS, Said MA. Implementation of quadratic dose protocol for 18F-FDG whole-body PET imaging using a BGO-based PET/CT scanner, GE Discovery ST. Iranian Journal of Nuclear Medicine. 2019 Jul 1;27(2):73-80. View at Publisher | View at Google Scholar | View at Indexing
• Gough A, Lezon T, Faeder JR, Chennubhotla C, Murphy RF, Critchley-Thorne R, Taylor DL. High-content analysis with cellular and tissue systems biology: a bridge between cancer cell biology and tissue-based diagnostics. InThe molecular basis of cancer 2015 Jan 1 (pp. 369-392). WB Saunders. View at Publisher | View at Google Scholar | View at Indexing
• Bergounioux M, Papoutsellis E. An anisotropic inf-convolution bv type model for dynamic reconstruction. SIAM Journal on Imaging Sciences. 2018;11(1):129-63. View at Publisher | View at Google Scholar | View at Indexing
• Tafro A, Serši? D, Krži? AS. 2D PET Image Reconstruction Using Robust L1 Estimation of the Gaussian Mixture Model. arXiv preprint arXiv:1906.06961. 2019 Jun 17. View at Publisher | View at Google Scholar | View at Indexing
• El Naqa I. Image Processing and Analysis of PET and Hybrid PET Imaging. InBasic Science of PET Imaging 2017 (pp. 285-301). Springer, Cham. View at Publisher | View at Google Scholar | View at Indexing
• Büther F. Von PET und PET/CT zur PET/MRT: Ein technologisches Update. Der Nuklearmediziner. 2018 Sep;41(03):202-10. View at Publisher | View at Google Scholar | View at Indexing
• Said MA, Musarudin M, Zulkaffli NF. The quantification of PET–CT radiotracers to determine minimal scan time using quadratic formulation. Annals of nuclear medicine. 2020 Dec;34(12):884-91. View at Publisher | View at Google Scholar | View at Indexing
• Lowe VJ, Knopman DS, Senjem ML, Kemp BJ, Schwarz CG, Przybelski SA, Machulda MM, Petersen RC, Jack Jr CR. Tau-PET uptake: Regional variation in average SUVR and impact of amyloid deposition. View at Publisher | View at Google Scholar | View at Indexing
• Maeda Y, Kudomi N, Yamamoto H, Yamamoto Y, Nishiyama Y. Image accuracy and quality test in rate constant depending on reconstruction algorithms with and without incorporating PSF and TOF in PET imaging. Annals of nuclear medicine. 2015 Aug;29(7):561-9. View at Publisher | View at Google Scholar | View at Indexing
• Sanchez V, Auli-Llinas F, Vanam R, Bartrina-Rapesta J. Rate control for lossless region of interest coding in HEVC intra-coding with applications to digital pathology images. In2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 Apr 19 (pp. 1250-1254). IEEE. View at Publisher | View at Google Scholar | View at Indexing
• Crucinio FR, Doucet A, Johansen AM. A Particle Method for Solving Fredholm Equations of the First Kind. Journal of the American Statistical Association. 2021 Sep 3:1-1. View at Publisher | View at Google Scholar | View at Indexing
• Kim JS, Park CR, Yoon SH, Lee JA, Kim TY, Yang HJ. Improvement of image quality using amplitude-based respiratory gating in PET-computed tomography scanning. Nuclear Medicine Communications. 2021 Mar 3;42(5):553-65. View at Publisher | View at Google Scholar | View at Indexing
• Wei L, El Naqa I. Fundamentals of Radiomics in Nuclear Medicine and Hybrid Imaging. InBasic Sciences of Nuclear Medicine 2021 (pp. 441-469). Springer, Cham. View at Publisher | View at Google Scholar | View at Indexing
• Wang Y, Zhang X, Zhang M, Liang D, Liu X, Zheng H, Yang Y, Hu Z. An improved PET image reconstruction method based on super-resolution. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2019 Dec 1;946:162677. View at Publisher | View at Google Scholar | View at Indexing
• Panetta JV. Development Of A Scintillation Detector And The Influence On Clinical Imaging (Doctoral dissertation, University of Pennsylvania). View at Publisher | View at Google Scholar | View at Indexing
• MUSA MS. SIMULATION AND EVALUATION OF A COST-EFFECTIVE HIGH-PERFORMANCE POSITRON EMISSION MAMMOGRAPHY SCANNER. View at Publisher | View at Google Scholar | View at Indexing
• Jonmarker O, Axelsson R, Nilsson T, Gabrielson S. Comparison of Regularized Reconstruction and Ordered Subset Expectation Maximization Reconstruction in the Diagnostics of Prostate Cancer Using Digital Time-of-Flight 68Ga-PSMA-11 PET/CT Imaging. Diagnostics. 2021 Apr;11(4):630. View at Publisher | View at Google Scholar | View at Indexing
• Tafro A, Serši? D. Iterative algorithms for Gaussian Mixture Model Estimation in 2D PET Imaging. In2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA) 2019 Sep 23 (pp. 93-98). IEEE. View at Publisher | View at Google Scholar | View at Indexing
• Tafro A, Serši? D. Iterative algorithms for Gaussian Mixture Model Estimation in 2D PET Imaging. In2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA) 2019 Sep 23 (pp. 93-98). IEEE. View at Publisher | View at Google Scholar | View at Indexing
• Alathur Rangarajan A. Multi-Modal Magnetic Resonance Imaging Predicts Regional Amyloid Burden in the Brain (Doctoral dissertation, University of Pittsburgh). View at Publisher | View at Google Scholar | View at Indexing
• Wu Z, Guo B, Huang B, Zhao B, Qin Z, Hao X, Liang M, Xie J, Li S. Does the beta regularization parameter of bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography?. Journal of Applied Clinical Medical Physics. 2021 Mar;22(3):224-33. View at Publisher | View at Google Scholar | View at Indexing
• Boo J, Hammig MD, Jeong M. Row–Column Readout Method to Mitigate Radiographic-Image Blurring From Multipixel Events in a Coded-Aperture Imaging System. IEEE Transactions on Nuclear Science. 2021 Mar 17;68(5):1175-83. View at Publisher | View at Google Scholar | View at Indexing
• Rangarajan AA. Multimodal Magnetic Resonance Imaging Predicts Regional Amyloid Burden in the Brain (Doctoral dissertation, University of Pittsburgh). View at Publisher | View at Google Scholar | View at Indexing
• Hoppe M. Reducing the Radiation Dose to Women Receiving Cardiac CT Scans. View at Publisher | View at Google Scholar | View at Indexing