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Citations to this Journal [1,965 citations: 1–100 of 1,743 articles]

Articles published in International Journal of Biomedical Imaging have been cited 1,965 times. The following is a list of the 1,743 articles that have cited the articles published in International Journal of Biomedical Imaging.

  • J. Víctor Marcos, Arrate Muñoz-Barrutia, Carlos Ortiz-de-Solórzano, and Gabriel Cristóbal, “Quantitative Assessment of Emphysema Severity in Histological Lung Analysis,” Annals of Biomedical Engineering, 2015. View at Publisher · View at Google Scholar
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  • Valery Zheludev, Ilkka Pölönen, Noora Neittaanmäki-Perttu, Amir Averbuch, Pekka Neittaanmäki, Mari Grönroos, and Heikki Saari, “Delineation of malignant skin tumors by hyperspectral imaging using diffusion maps dimensionality reduction,” Biomedical Signal Processing and Control, vol. 16, pp. 48–60, 2015. View at Publisher · View at Google Scholar
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  • Jose R. Zamacona, Ronald Niehaus, Alexander Rasin, Jacob D. Furst, and Daniela S. Raicu, “Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs,” Computers in Biology and Medicine, 2015. View at Publisher · View at Google Scholar
  • Shuang Liu, Anjali Datta, Derek Ho, Jordan Dwelle, Daifeng Wang, Thomas E Milner, Henry Grady Rylander, and Mia K Markey, “Effect of image registration on longitudinal analysis of retinal nerve fiber layer thickness of non-human primates using Optical Coherence Tomography (OCT),” Eye and Vision, vol. 2, no. 1, 2015. View at Publisher · View at Google Scholar
  • Yasunori Aoki, Ryouhei Ishii, Roberto D. Pascual-Marqui, Leonides Canuet, Shunichiro Ikeda, Masahiro Hata, Kaoru Imajo, Haruyasu Matsuzaki, Toshimitsu Musha, Takashi Asada, Masao Iwase, and Masatoshi Takeda, “Detection of EEG-resting state independent networks by eLORETA-ICA method,” Frontiers in Human Neuroscience, vol. 9, 2015. View at Publisher · View at Google Scholar
  • Chiann-Mun Chen, António M. A. Miranda, Gil Bub, and Shankar Srinivas, “Detecting cardiac contractile activity in the early mouse embryo using multiple modalities,” Frontiers in Physiology, vol. 5, 2015. View at Publisher · View at Google Scholar
  • Xiaoying Tang, Dominic Holland, Anders M. Dale, Laurent Younes, and Michael I. Miller, “The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and Alzheimer's disease,” Human Brain Mapping, 2015. View at Publisher · View at Google Scholar
  • Manas Saha, Mrinal Kanti Naskar, and B. N. Chatterji, “Soft, Hard and Block Thresholding Techniques for Denoising of Mammogram Images,” IETE Journal of Research, pp. 1–6, 2015. View at Publisher · View at Google Scholar
  • C. Andrés Méndez, Paul Summers, and Gloria Menegaz, “Multiview cluster ensembles for multimodal MRI segmentation,” International Journal of Imaging Systems and Technology, vol. 25, no. 1, pp. 56–67, 2015. View at Publisher · View at Google Scholar
  • Chang-Yeol Jung, and Sunghwan Moon, “Inversion formulas for cone transforms arising in application of Compton cameras,” Inverse Problems, vol. 31, no. 1, pp. 015006, 2015. View at Publisher · View at Google Scholar
  • Esther Klann, Eric Todd Quinto, and Ronny Ramlau, “Wavelet methods for a weighted sparsity penalty for region of interest tomography,” Inverse Problems, vol. 31, no. 2, pp. 025001, 2015. View at Publisher · View at Google Scholar
  • Byul Bora Choi, Myung Soo Kim, Ki Won Song, Uk Kyu Kim, Jin Woo Hong, Hae June Lee, and Gyoo Cheon Kim, “Targeting NEU Protein in Melanoma Cells with Non-Thermal Atmospheric Pressure Plasma and Gold Nanoparticles,” Journal of Biomedical Nanotechnology, vol. 11, no. 5, pp. 900–905, 2015. View at Publisher · View at Google Scholar
  • Shengming Deng, Wei Zhang, Bin Zhang, Ruoyu Hong, Qing Chen, Jiajia Dong, Yinyiin Chen, Zhiqiang Chen, and Yiwei Wu, “Radiolabeled cyclic arginine-glycine-aspartic (RGD)-conjugated iron oxide nanoparticles as single-photon emission computed tomography (SPECT) and magnetic resonance imaging (MRI) dual-modality agents for imaging of breast cancer,” Journal of Nanoparticle Research, vol. 17, no. 1, 2015. View at Publisher · View at Google Scholar
  • S Moldovanu, M (Vişan) Pungǎ, and L Moraru, “Evaluation of outliers in acquired brain MR images,” Journal of Physics: Conference Series, vol. 574, pp. 012121, 2015. View at Publisher · View at Google Scholar
  • Zikuan Chen, and Vince Calhoun, “Nonlinear magnitude and linear phase behaviors of T2* imaging: theoretical approximation and Monte Carlo simulation,” Magnetic Resonance Imaging, 2015. View at Publisher · View at Google Scholar
  • José V. Manjón, Pierrick Coupé, and Antonio Buades, “MRI Noise Estimation and Denoising Using Non-local PCA,” Medical Image Analysis, 2015. View at Publisher · View at Google Scholar
  • Bing Wang, Xuedong Tian, Qian Wang, Ying Yang, Hongzhi Xie, Shuyang Zhang, and Lixu Gu, “Pulmonary nodule detection in CT images based on shape constraint CV model,” Medical Physics, vol. 42, no. 3, pp. 1241–1254, 2015. View at Publisher · View at Google Scholar
  • Eva L. Leemans, Fotis Kotasidis, Michael Wissmeyer, Valentina Garibotto, and Habib Zaidi, “Qualitative and Quantitative Evaluation of Blob-Based Time-of-Flight PET Image Reconstruction in Hybrid Brain PET/MR Imaging,” Molecular Imaging and Biology, 2015. View at Publisher · View at Google Scholar
  • Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent C. Munsell, and Dinggang Shen, “Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition,” NeuroImage, vol. 106, pp. 34–46, 2015. View at Publisher · View at Google Scholar
  • Naoyuki Matsuzaki, Rebecca F. Schwarzlose, Masaaki Nishida, Noa Ofen, and Eishi Asano, “Upright face-preferential high-gamma responses in lower-order visual areas: evidence from intracranial recordings in children,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Deepti Putcha, Robert S. Ross, Alice Cronin-Golomb, Amy C. Janes, and Chantal E. Stern, “Altered intrinsic functional coupling between core neurocognitive networks in Parkinson's disease,” NeuroImage: Clinical, 2015. View at Publisher · View at Google Scholar
  • Yanfeng Li, Houjin Chen, Gustavo Kunde Rohde, Chang Yao, and Lin Cheng, “Texton analysis for mass classification in mammograms,” Pattern Recognition Letters, vol. 52, pp. 87–93, 2015. View at Publisher · View at Google Scholar
  • Anton Liopo, Richard Su, and Alexander A. Oraevsky, “Melanin nanoparticles as a novel contrast agent for optoacoustic tomography,” Photoacoustics, 2015. View at Publisher · View at Google Scholar
  • Eugenia Li Ling Yeo, Anthony Jin Shun Chua, Krupakar Parthasarathy, Hui Yu Yeo, Mah Lee Ng, and James Chen Yong Kah, “Understanding aggregation-based assays: nature of protein corona and number of epitopes on antigen matters,” RSC Adv., vol. 5, no. 20, pp. 14982–14993, 2015. View at Publisher · View at Google Scholar
  • SayedMasoud Hashemi, Soosan Beheshti, Richard S.C. Cobbold, and Narinder Paul, “Adaptive updating of regularization parameters,” Signal Processing, 2015. View at Publisher · View at Google Scholar
  • Jeffery J. Auletta, Saada K. Eid, Patiwet Wuttisarnwattana, Ines Silva, Leland Metheny, Matthew D. Keller, Rocio Guardia-Wolff, Chen Liu, Fangjing Wang, Theodore Bowen, Zhenghong Lee, Luis A. Solchaga, Sudipto Ganguly, Megan Tyler, David L. Wilson, and Kenneth R. Cooke, “Human Mesenchymal Stromal Cells Attenuate Graft-Versus-Host Disease and Maintain Graft-Versus-Leukemia Activity Following Experimental Allogeneic Bone Marrow Transplantation,” Stem Cells, vol. 33, no. 2, pp. 601–614, 2015. View at Publisher · View at Google Scholar
  • David W. Yaffee, Didier F. Loulmet, Ans G. Fakiha, and Eugene A. Grossi, “Fluorescence-guided placement of an endoaortic balloon occlusion device for totally endoscopic robotic mitral valve repair,” The Journal of Thoracic and Cardiovascular Surgery, 2015. View at Publisher · View at Google Scholar
  • Steven R. Taylor, and Jeffrey B. Jorgensen, “Use of fluorescent angiography to assess donor site perfusion prior to free tissue transfer,” The Laryngoscope, 2015. View at Publisher · View at Google Scholar
  • Francesco Colonna, Marco Crepaldi, Danilo Demarchi, Mariagrazia Graziano, and Maurizio Zamboni, “UWB Microwave Imaging for Breast Cancer Detection: Many-Core, GPU, or FPGA? ,” Acm Transactions on Embedded Computing Systems, vol. 13, 2014. View at Publisher · View at Google Scholar
  • Ingerid Reinertsen, Frank Lindseth, Christian Askeland, Daniel Høyer Iversen, and Geirmund Unsgård, “Intra-operative correction of brain-shift,” Acta Neurochirurgica, 2014. View at Publisher · View at Google Scholar
  • Christopher J. Bilbao, Tarun Bhalla, Shamsher Dalal, Hiren Patel, and Amir R. Dehdashti, “Comparison of indocyanine green fluorescent angiography to digital subtraction angiography in brain arteriovenous malformation surgery,” Acta Neurochirurgica, 2014. View at Publisher · View at Google Scholar
  • Xin Kang, Hongliang Ren, Jing Li, and Wai-Pan Yau, “Computer-assisted bone tumour ablation using sparse radiographs,” Advanced Robotics, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Martina Bocchetta, Marina Boccardi, Rossana Ganzola, Liana G. Apostolova, Gregory Preboske, Dominik Wolf, Clarissa Ferrari, Patrizio Pasqualetti, Nicolas Robitaille, Simon Duchesne, Clifford R. Jack, and Giovanni B. Frisoni, “Harmonized benchmark labels of the hippocampus on magnetic resonance: The EADC-ADNI project,” Alzheimer's & Dementia, 2014. View at Publisher · View at Google Scholar
  • I. Corcuera-Solano, A. M. McLellan, A. H. Doshi, P. S. Pawha, and L. N. Tanenbaum, “Whole-Brain Adaptive 70-kVp Perfusion Imaging with Variable and Extended Sampling Improves Quality and Consistency While Reducing Dose,” American Journal of Neuroradiology, vol. 35, no. 11, pp. 2045–2051, 2014. View at Publisher · View at Google Scholar
  • Jae Woo Choi, Hyeong Ho Ryu, Sang Young Byun, and Sang Woong Youn, “Differences in the Known Cellular Composition of Benign Pigmented Skin Lesions Reflected in Computer-Aided Image Analysis,” Annals of Dermatology, vol. 26, no. 3, pp. 314, 2014. View at Publisher · View at Google Scholar
  • Daniel Thomas Ginat, and Rajiv Gupta, “Advances in Computed Tomography Imaging Technology,” Annual Review of Biomedical Engineering, vol. 16, no. 1, pp. 431–453, 2014. View at Publisher · View at Google Scholar
  • F. DuBois Bowman, “Brain Imaging Analysis,” Annual Review of Statistics and Its Application, vol. 1, no. 1, pp. 61–85, 2014. View at Publisher · View at Google Scholar
  • Ana Lilia Rodríguez Villegas, and Judith Salvador Cruz, “Executive Functioning and Adaptive Coping in Healthy Adults,” Applied Neuropsychology: Adult, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Roberto Reif, Siavash Yousefi, Woo June Choi, and Ruikang K. Wang, “Analysis of cross-sectional image filters for evaluating nonaveraged optical microangiography images,” Applied Optics, vol. 53, no. 5, pp. 806, 2014. View at Publisher · View at Google Scholar
  • Xi Yi, Xin Wang, Weiting Chen, Wenbo Wan, Huijuan Zhao, and Feng Gao, “Full domain-decomposition scheme for diffuse optical tomography of large-sized tissues with a combined CPU and GPU parallelization,” Applied Optics, vol. 53, no. 13, pp. 2754, 2014. View at Publisher · View at Google Scholar
  • Roberto Reif, Utku Baran, and Ruikang K. Wang, “Motion artifact and background noise suppression on optical microangiography frames using a naïve Bayes mask,” Applied Optics, vol. 53, no. 19, pp. 4164, 2014. View at Publisher · View at Google Scholar
  • Olubukola Babalola, Andrew Mamalis, Hadar Lev-Tov, and Jared Jagdeo, “Optical coherence tomography (OCT) of collagen in normal skin and skin fibrosis,” Archives of Dermatological Research, vol. 306, no. 1, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Gary E. Strangman, Walter Sipes, and Gary Beven, “Human Cognitive Performance in Spaceflight and Analogue Environments,” Aviation Space and Environmental Medicine, vol. 85, no. 10, pp. 1033–1048, 2014. View at Publisher · View at Google Scholar
  • Ramtin Zargari Marandi, and S. H. Sabzpoushan, “Qualitative modeling of the decision-making process using electrooculography,” Behavior Research Methods, 2014. View at Publisher · View at Google Scholar
  • Taryn R. Townsend, Georgette Moyle-Heyrman, Preeti A. Sukerkar, Keith W. MacRenaris, Joanna E. Burdette, and Thomas J. Meade, “Progesterone-Targeted Magnetic Resonance Imaging Probes,” Bioconjugate Chemistry, pp. 140725142638003, 2014. View at Publisher · View at Google Scholar
  • Yang Zhou, Young-Seung Kim, Diane E. Milenic, Baidoo Kwamena, and Martin W. Brechbiel, “In vitro & In vivo Analysis of Indocyanine Green-Labeled Panitumumab for Optical Imaging – A Cautionary Tale,” Bioconjugate Chemistry, pp. 140922130338002, 2014. View at Publisher · View at Google Scholar
  • Anna Fabijańska, “Segmentation of pulmonary vascular tree from 3D CT thorax scans,” Biocybernetics and Biomedical Engineering, 2014. View at Publisher · View at Google Scholar
  • Elizabeth G Kehoe, Jonathan P McNulty, Paul G Mullins, and Arun L W Bokde, “Advances in MRI biomarkers for the diagnosis of Alzheimer's disease,” Biomarkers in Medicine, vol. 8, no. 9, pp. 1151–1169, 2014. View at Publisher · View at Google Scholar
  • Lijia Jing, Xiaolong Liang, Zijian Deng, Shanshan Feng, Xiaoda Li, Maomao Huang, Changhui Li, and Zhifei Dai, “Prussian blue coated gold nanoparticles for simultaneous photoacoustic/CT bimodal imaging and photothermal ablation of cancer,” Biomaterials, vol. 35, no. 22, pp. 5814–5821, 2014. View at Publisher · View at Google Scholar
  • Dae Woo Park, Sang-Ho Ye, Hong Bin Jiang, Debaditya Dutta, Kazuhiro Nonaka, William R. Wagner, and Kang Kim, “In vivo monitoring of structural and mechanical changes of tissue scaffolds by multi-modality imaging,” Biomaterials, 2014. View at Publisher · View at Google Scholar
  • Nicolas Beziere, Neus Lozano, Antonio Nunes, Juan Salichs, Daniel Queiros, Kostas Kostarelos, and Vasilis Ntziachristos, “Dynamic imaging of PEGylated indocyanine green (ICG) liposomes within the tumor microenvironment using multi-spectral optoacoustic tomography (MSOT),” Biomaterials, 2014. View at Publisher · View at Google Scholar
  • Han J. W. van Triest, Yong Yue, Mingjie Xu, and Yan Kang, “Automatic pulmonary fissure detection and lobe segmentation in CT chest images,” Biomedical Engineering Online, vol. 13, 2014. View at Publisher · View at Google Scholar
  • Hongxiao Li, Xiaodong Chen, Yi Wang, Zhongxing Zhou, Qingzhen Zhu, and Daoyin Yu, “Sparse CT reconstruction based on multi-direction anisotropic total variation (MDATV),” Biomedical Engineering Online, vol. 13, 2014. View at Publisher · View at Google Scholar
  • A. Sumaiya Begum, and S. Poornachandra, “An Efficient Ripplet-Based Shrinkage Technique For Mr Image Restoration,” Biomedical Engineering: Applications, Basis and Communications, pp. 1450074, 2014. View at Publisher · View at Google Scholar
  • Kan Chen, Bin Li, Lian-fang Tian, Wen-bo Zhu, and Ying-han Bao, “Fuzzy Speed Function Based Active Contour Model for Segmentation of Pulmonary Nodules,” Bio-Medical Materials and Engineering, vol. 24, no. 1, pp. 539–547, 2014. View at Publisher · View at Google Scholar
  • Zhenzhen Ren, Xing Wang, Shifeng Wang, Chenxi Zhai, Yusu He, and Yanjiang Qiao, “Mechanism of action of Salvianolic Acid B by module-based network analysis,” Bio-Medical Materials and Engineering, vol. 24, no. 1, pp. 1333–1340, 2014. View at Publisher · View at Google Scholar
  • Haijiang Zhu, Ping Yang, and Tianbin Yao, “3D reconstruction of ultrasound scanned data for tissue mimicking material sample,” Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 2771–2781, 2014. View at Publisher · View at Google Scholar
  • Jinzuo Ye, Chongwei Chi, Zhenwen Xue, Ping Wu, Yu An, Han Xu, Shuang Zhang, and Jie Tian, “Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method,” Biomedical Optics Express, vol. 5, no. 2, pp. 387, 2014. View at Publisher · View at Google Scholar
  • Lingling Zhao, Ken Abe, Shilpi Rajoria, Qi Pian, Margarida Barroso, and Xavier Intes, “Spatial light modulator based active wide-field illumination for ex vivo and in vivo quantitative NIR FRET imaging,” Biomedical Optics Express, vol. 5, no. 3, pp. 944, 2014. View at Publisher · View at Google Scholar
  • Jun Zhang, Duofang Chen, Jimin Liang, Huadan Xue, Jing Lei, Qin Wang, Dongmei Chen, Ming Meng, Zhengyu Jin, and Jie Tian, “Incorporating MRI structural information into bioluminescence tomography: system, heterogeneous reconstruction and in vivo quantification,” Biomedical Optics Express, vol. 5, no. 6, pp. 1861, 2014. View at Publisher · View at Google Scholar
  • Jong Hwan Lee, Hyun Keol Kim, Chandhanarat Chandhanayingyong, Francis Young-In Lee, and Andreas H. Hielscher, “Non-contact small animal fluorescence imaging system for simultaneous multi-directional angular-dependent data acquisition,” Biomedical Optics Express, vol. 5, no. 7, pp. 2301, 2014. View at Publisher · View at Google Scholar
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  • Kristin M. Poole, Devin R. McCormack, Chetan A. Patil, Craig L. Duvall, and Melissa C. Skala, “Quantifying the vascular response to ischemia with speckle variance optical coherence tomography,” Biomedical Optics Express, vol. 5, no. 12, pp. 4118, 2014. View at Publisher · View at Google Scholar
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  • T. Pérez-de la Fuente, E. Sandoval, A. Alonso-Burgos, L. García-Pardo, C. Cárcamo, and O. Caballero, “Knee Lymphocutaneous Fistula Secondary to Knee Arthroplasty,” Case Reports in Orthopedics, vol. 2014, pp. 1–4, 2014. View at Publisher · View at Google Scholar
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  • Adnan Bajwa, Roman Wesolowski, Ashish Patel, Prakash Saha, Francesca Ludwinski, Alberto Smith, Eike Nagel, and Bijan Modarai, “Assessment of Tissue Perfusion in the Lower Limb Current Methods and Techniques Under Development,” Circulation-Cardiovascular Imaging, vol. 7, no. 5, pp. 836–843, 2014. View at Publisher · View at Google Scholar
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  • Erik C. Brown, Otto Muzik, Robert Rothermel, Csaba Juhasz, Aashit K. Shah, Darren Fuerst, Sandeep Mittal, Sandeep Sood, and Eishi Asano, “Evaluating signal-correlated noise as a control task with language-related gamma activity on electrocorticography,” Clinical Neurophysiology, vol. 125, no. 7, pp. 1312–1323, 2014. View at Publisher · View at Google Scholar
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  • Marco Bertola, Alexander Katsevich, and Alexander Tovbis, “Singular value decomposition of a finite Hilbert transform defined on several intervals and the interior problem of tomography: The Riemann-Hilbert problem approach,” Communications on Pure and Applied Mathematics, 2014. View at Publisher · View at Google Scholar
  • Ali Al Haidan, Osama Abu-Hammad, and Najla Dar-Odeh, “Predicting Tooth Surface Loss Using Genetic Algorithms-Optimized Artificial Neural Networks,” Computational and Mathematical Methods in Medicine, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar
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