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Citations to this Journal [7,204 citations: 1–100 of 6,491 articles]

Articles published in Computational and Mathematical Methods in Medicine have been cited 7,204 times. The following is a list of the 6,491 articles that have cited the articles published in Computational and Mathematical Methods in Medicine.

  • Szymon Wasik, Maciej Antczak, *Jan Badura, Artur Laskowski, and Tomasz Sternal, “A Survey on Online Judge Systems and Their Applications,” ACM Computing Surveys, vol. 51, no. 1, pp. 1–34, 2018. View at Publisher · View at Google Scholar
  • Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, Mei-Ling Shyu, and S. S. Iyengar, “Multimedia Big Data Analytics,” ACM Computing Surveys, vol. 51, no. 1, pp. 1–34, 2018. View at Publisher · View at Google Scholar
  • C. Curtin, J.C. Nolan, R. Conlon, L. Deneweth, C. Gallagher, Y.J. Tan, B.L. Cavanagh, A.Z. Asraf, H. Harvey, S. Miller-Delaney, J. Shohet, I. Bray, F.J. O'Brien, R.L. Stallings, and O. Piskareva, “A physiologically relevant 3D collagen-based scaffold - neuroblastoma cell system exhibits chemosensitivity similar to orthotopic xenograft models,” Acta Biomaterialia, 2018. View at Publisher · View at Google Scholar
  • Taher Selmi, Mongi Seffen, Habib Sammouda, Sandrine Mathieu, Jacek Jagiello, Alain Celzard, and Vanessa Fierro, “Physical meaning of the parameters used in fractal kinetic and generalised adsorption models of Brouers–Sotolongo,” Adsorption, 2018. View at Publisher · View at Google Scholar
  • Mozart U Nsuami, and Peter J Witbooi, “A model of HIV/AIDS population dynamics including ARV treatment and pre-exposure prophylaxis,” Advances in Difference Equations, vol. 2018, no. 1, 2018. View at Publisher · View at Google Scholar
  • Yaning Li, Huidong Cheng, Jianmei Wang, and Yanhui Wang, “Dynamic analysis of unilateral diffusion Gompertz model with impulsive control strategy,” Advances in Difference Equations, vol. 2018, no. 1, 2018. View at Publisher · View at Google Scholar
  • Jianmei Wang, Huidong Cheng, Hongxia Liu, and Yanhui Wang, “Periodic solution and control optimization of a prey-predator model with two types of harvesting,” Advances in Difference Equations, vol. 2018, no. 1, 2018. View at Publisher · View at Google Scholar
  • Marjan Rafat, Howard A. Stone, Debra T. Auguste, Mahsa Dabagh, Amanda Randles, Martin Heller, and James D. Rabinov, “Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms,” AIChE Journal, 2018. View at Publisher · View at Google Scholar
  • Mehdi Dehghan, and Niusha Narimani, “An element-free Galerkin meshless method for simulating the behavior of cancer cell invasion of surrounding tissue,” Applied Mathematical Modelling, 2018. View at Publisher · View at Google Scholar
  • Mikhail Goubko, “Maximizing Wiener index for trees with given vertex weight and degree sequences,” Applied Mathematics and Computation, vol. 316, pp. 102–114, 2018. View at Publisher · View at Google Scholar
  • Qifeng Zhang, Mengzhe Chen, Yinghong Xu, and Dinghua Xu, “Compact θ -method for the generalized delay diffusion equation,” Applied Mathematics and Computation, vol. 316, pp. 357–369, 2018. View at Publisher · View at Google Scholar
  • B. Zubik-Kowal, “An algorithm for partial functional differential equations modeling tumor growth,” Applied Mathematics and Computation, vol. 321, pp. 85–92, 2018. View at Publisher · View at Google Scholar
  • A. Stevens, L. Luzi, H. Yang, L. Kovarik, B. L. Mehdi, A. Liyu, M. E. Gehm, and N. D. Browning, “A sub-sampled approach to extremely low-dose STEM,” Applied Physics Letters, vol. 112, no. 4, pp. 043104, 2018. View at Publisher · View at Google Scholar
  • Xinteng Gao, and Xinggao Liu, “A novel effective diagnosis model based on optimized Least Squares Support Machine for gene microarray,” Applied Soft Computing, 2018. View at Publisher · View at Google Scholar
  • V. Rajinikanth, and Suresh Chandra Satapathy, “Segmentation of Ischemic Stroke Lesion in Brain MRI Based on Social Group Optimization and Fuzzy-Tsallis Entropy,” Arabian Journal for Science and Engineering, 2018. View at Publisher · View at Google Scholar
  • Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, and Jianxin Wang, “Computational drug repositioning using low-rank matrix approximation and randomized algorithms,” Bioinformatics, 2018. View at Publisher · View at Google Scholar
  • Rodrigo Méndez Rojano, Simon Mendez, and Franck Nicoud, “Introducing the pro-coagulant contact system in the numerical assessment of device-related thrombosis,” Biomechanics and Modeling in Mechanobiology, 2018. View at Publisher · View at Google Scholar
  • Narges Roustaei, Seyyed Mohammad Taghi Ayatollahi, and Najaf Zare, “A Proposed Approach for Joint Modeling of the Longitudinal and Time-To-Event Data in Heterogeneous Populations: An Application to HIV/AIDS’s Disease,” BioMed Research International, vol. 2018, pp. 1–13, 2018. View at Publisher · View at Google Scholar
  • Nicola Amoroso, Marianna La Rocca, Roberto Bellotti, Annarita Fanizzi, Alfonso Monaco, and Sabina Tangaro, “Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm,” BioMedical Engineering OnLine, vol. 17, no. 1, 2018. View at Publisher · View at Google Scholar
  • Taehoon Kim, Jeong-Whun Kim, and Kyogu Lee, “Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques,” BioMedical Engineering OnLine, vol. 17, no. 1, 2018. View at Publisher · View at Google Scholar
  • Bin Deng, Mats Lundqvist, Qianqian Fang, and Stefan A. Carp, “Impact of errors in experimental parameters on reconstructed breast images using diffuse optical tomography,” Biomedical Optics Express, vol. 9, no. 3, pp. 1130, 2018. View at Publisher · View at Google Scholar
  • Sarah Weppler, Shadab Momin, Jose Eduardo Villarreal-Barajas, and Rao Khan, “Comprehensive fluence delivery optimization with multileaf collimation,” Biomedical Physics & Engineering Express, vol. 4, no. 2, pp. 025021, 2018. View at Publisher · View at Google Scholar
  • Sameena Pathan, K. Gopalakrishna Prabhu, and P.C. Siddalingaswamy, “Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review,” Biomedical Signal Processing and Control, vol. 39, pp. 237–262, 2018. View at Publisher · View at Google Scholar
  • M. Romano, P. Bifulco, A.M. Ponsiglione, G.D. Gargiulo, F. Amato, and M. Cesarelli, “Evaluation of floatingline and foetal heart rate variability,” Biomedical Signal Processing and Control, vol. 39, pp. 185–196, 2018. View at Publisher · View at Google Scholar
  • Kai Hu, Qiaocui Cheng, Bodong Li, and Xieping Gao, “The complex data denoising in MR images based on the directional extension for the undecimated wavelet transform,” Biomedical Signal Processing and Control, vol. 39, pp. 336–350, 2018. View at Publisher · View at Google Scholar
  • P. Colmegna, R.S. Sánchez-Peña, and R. Gondhalekar, “Linear parameter-varying model to design control laws for an artificial pancreas,” Biomedical Signal Processing and Control, vol. 40, pp. 204–213, 2018. View at Publisher · View at Google Scholar
  • Manoj Diwakar, and Manoj Kumar, “A review on CT image noise and its denoising,” Biomedical Signal Processing and Control, vol. 42, pp. 73–88, 2018. View at Publisher · View at Google Scholar
  • Slavka Viteckova, Patrik Kutilek, Zdenek Svoboda, Radim Krupicka, Jan Kauler, and Zoltan Szabo, “Gait symmetry measures: A review of current and prospective methods,” Biomedical Signal Processing and Control, vol. 42, pp. 89–100, 2018. View at Publisher · View at Google Scholar
  • Yoshiaki Nishiyama, Yutaka Saikawa, and Nobuaki Nishiyama, “Interaction between the immune system and acute myeloid leukemia: A model incorporating promotion of regulatory T cell expansion by leukemic cells,” Biosystems, vol. 165, pp. 99–105, 2018. View at Publisher · View at Google Scholar
  • Wencel Valega-Mackenzie, and Karen R. Ríos-Soto, “Can Vaccination Save a Zika Virus Epidemic?,” Bulletin of Mathematical Biology, 2018. View at Publisher · View at Google Scholar
  • Bismark Oduro, Mario J. Grijalva, and Winfried Just, “Models of Disease Vector Control: When Can Aggressive Initial Intervention Lower Long-Term Cost?,” Bulletin of Mathematical Biology, 2018. View at Publisher · View at Google Scholar
  • Aleksandra Karolak, and Katarzyna A. Rejniak, “Micropharmacology: An In Silico Approach for Assessing Drug Efficacy Within a Tumor Tissue,” Bulletin of Mathematical Biology, 2018. View at Publisher · View at Google Scholar
  • So Young Joo, A Ram Hong, Boung Chul Lee, Jae Hyuk Choi, and Cheong Hoon Seo, “Autonomic nerve activity indexed using 24-h heart rate variability in patients with burns,” Burns, 2018. View at Publisher · View at Google Scholar
  • Qurat-ul-ain Mastoi, Teh Ying Wah, Ram Gopal Raj, and Uzair Iqbal, “Automated Diagnosis of Coronary Artery Disease: A Review and Workflow,” Cardiology Research and Practice, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Saleh Hassanzadeh Gharaie, Bobak Mosadegh, and Yosry Morsi, “In Vitro Validation of a Numerical Simulation of Leaflet Kinematics in a Polymeric Aortic Valve Under Physiological Conditions,” Cardiovascular Engineering and Technology, 2018. View at Publisher · View at Google Scholar
  • Onur Bas, Sara Lucarotti, Davide D. Angella, Nathan J. Castro, Christoph Meinert, Felix M. Wunner, Ernst Rank, Giovanni Vozzi, Travis J. Klein, Isabelle Catelas, Elena M. De-Juan-Pardo, and Dietmar W. Hutmacher, “Rational design and fabrication of multiphasic soft network composites for tissue engineering articular cartilage: a numerical model-based approach,” Chemical Engineering Journal, 2018. View at Publisher · View at Google Scholar
  • Karthikeyan Rajagopal, Sajad Jafari, Anitha Karthikeyan, Ashokkumar Srinivasan, and Biniyam Ayele, “Hyperchaotic Memcapacitor Oscillator with Infinite Equilibria and Coexisting Attractors,” Circuits, Systems, and Signal Processing, 2018. View at Publisher · View at Google Scholar
  • Sule Tinaz, Christopher Chow, Phillip H. Kuo, Elizabeth A. Krupinski, Hal Blumenfeld, Elan D. Louis, and George Zubal, “Semiquantitative Analysis of Dopamine Transporter Scans in Patients With Parkinson Disease,” Clinical Nuclear Medicine, vol. 43, no. 1, pp. e1–e7, 2018. View at Publisher · View at Google Scholar
  • Rebecca Kahn, Matt Hitchings, Steven Bellan, and Marc Lipsitch, “Impact of stochastically generated heterogeneity in hazard rates on individually randomized vaccine efficacy trials,” Clinical Trials: Journal of the Society for Clinical Trials, pp. 174077451775267, 2018. View at Publisher · View at Google Scholar
  • Yuantao Chen, Jie Xiong, Weihong Xu, and Jingwen Zuo, “A novel online incremental and decremental learning algorithm based on variable support vector machine,” Cluster Computing, 2018. View at Publisher · View at Google Scholar
  • C. Kavitha, and S. Sakthivel, “An effective mechanism for medical images authentication using quick response code,” Cluster Computing, 2018. View at Publisher · View at Google Scholar
  • E.O. Omondi, F. Nyabadza, and R.J. Smith, “Modelling the impact of mass administration of ivermectin in the treatment of onchocerciasis (river blindness),” Cogent Mathematics & Statistics, vol. 5, no. 1, 2018. View at Publisher · View at Google Scholar
  • Kumari Priyanka, and Pidugu Trisandhya, “A composite class of estimators using scrambled response mechanism for sensitive population mean in successive sampling,” Communications in Statistics - Theory and Methods, pp. 1–24, 2018. View at Publisher · View at Google Scholar
  • Jiucheng Xu, Huiyu Mu, Yun Wang, and Fangzhou Huang, “Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification,” Computational and Mathematical Methods in Medicine, vol. 2018, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Murat Sari, and Can Tuna, “Prediction of Pathological Subjects Using Genetic Algorithms,” Computational and Mathematical Methods in Medicine, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Zhanxiong Wu, Xiaohui Yu, Yang Liu, and Ming Hong, “A PSO-Powell Hybrid Method to Extract Fiber Orientations from ODF,” Computational and Mathematical Methods in Medicine, vol. 2018, pp. 1–12, 2018. View at Publisher · View at Google Scholar
  • Lei Shi, Youchuan Wan, Xianjun Gao, and Mingwei Wang, “Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search,” Computational Intelligence and Neuroscience, vol. 2018, pp. 1–13, 2018. View at Publisher · View at Google Scholar
  • Sara Moccia, Elena De Momi, Sara El Hadji, and Leonardo S. Mattos, “Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics,” Computer Methods and Programs in Biomedicine, vol. 158, pp. 71–91, 2018. View at Publisher · View at Google Scholar
  • Md Akter Hussain, Alauddin Bhuiyan, Hiroshi Ishikawa, R. Theodore Smith, Joel S. Schuman, and Ramamohanrao Kotagiri, “An Automated Method for Choroidal Thickness Measurement from Enhanced Depth Imaging Optical Coherence Tomography Images,” Computerized Medical Imaging and Graphics, 2018. View at Publisher · View at Google Scholar
  • Antonino Amoddeo, “A moving mesh study for diffusion induced effects in avascular tumour growth,” Computers & Mathematics with Applications, 2018. View at Publisher · View at Google Scholar
  • Kazım Hanbay, and Muhammed Fatih Talu, “A novel active contour model for medical images via the Hessian matrix and eigenvalues,” Computers & Mathematics with Applications, 2018. View at Publisher · View at Google Scholar
  • Muthu Subash Kavitha, Takio Kurita, and Byeong-Cheol Ahn, “Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques,” Computers in Biology and Medicine, 2018. View at Publisher · View at Google Scholar
  • Jibril Mohammed, Eric Derom, Tine De Backer, Inge De Wandele, and Patrick Calders, “Cardiac Autonomic Function and Reactivity Tests in Physically Active Subjects with Moderately Severe COPD,” COPD: Journal of Chronic Obstructive Pulmonary Disease, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Bradford D. Winters, Maria M. Cvach, Christopher P. Bonafide, Xiao Hu, Avinash Konkani, Michael F. O’Connor, Jeffrey M. Rothschild, Nicholas M. Selby, Michele M. Pelter, Barbara McLean, and Sandra L. Kane-Gill, “Technological Distractions (Part 2),” Critical Care Medicine, vol. 46, no. 1, pp. 130–137, 2018. View at Publisher · View at Google Scholar
  • Michael L Paull, and Patrick S Daugherty, “Mapping serum antibody repertoires using peptide libraries,” Current Opinion in Chemical Engineering, vol. 19, pp. 21–26, 2018. View at Publisher · View at Google Scholar
  • Yohei Takeshita, Mayumi Shimizu, Gainer R Jasa, Warangkana Weerawanich, Kazutoshi Okamura, Shoko Yoshida, Kenji Tokumori, Junichi Asaumi, and Kazunori Yoshiura, “Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam CT,” Dentomaxillofacial Radiology, pp. 20170369, 2018. View at Publisher · View at Google Scholar
  • Yawen Yu, Richard T. Lauer, Carole A. Tucker, Elizabeth D. Thompson, and Emily A. Keshner, “Visual dependence affects postural sway responses to continuous visual field motion in individuals with cerebral palsy,” Developmental Neurorehabilitation, pp. 1–11, 2018. View at Publisher · View at Google Scholar
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  • Jung-Ah Choi, Young Chul Kim, Seon Jeong Min, and Eun Kyung Khil, “A simple method for bone age assessment: the capitohamate planimetry,” European Radiology, 2018. View at Publisher · View at Google Scholar
  • James H. Kryklywy, Ewan A. Macpherson, and Derek G. V. Mitchell, “Decoding auditory spatial and emotional information encoding using multivariate versus univariate techniques,” Experimental Brain Research, 2018. View at Publisher · View at Google Scholar
  • Andrés Úbeda, José M. Azorín, Dario Farina, and Massimo Sartori, “Estimation of Neuromuscular Primitives from EEG Slow Cortical Potentials in Incomplete Spinal Cord Injury Individuals for a New Class of Brain-Machine Interfaces,” Frontiers in Computational Neuroscience, vol. 12, 2018. View at Publisher · View at Google Scholar
  • Jlenia Toppi, Laura Astolfi, Monica Risetti, Alessandra Anzolin, Silvia E. Kober, Guilherme Wood, and Donatella Mattia, “Different Topological Properties of EEG-Derived Networks Describe Working Memory Phases as Revealed by Graph Theoretical Analysis,” Frontiers in Human Neuroscience, vol. 11, 2018. View at Publisher · View at Google Scholar
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  • Emmanouil Poulidakis, Constantina Aggeli, Konstantinos Kappos, Antonis S. Manolis, Skevos Sideris, Konstantinos Gatzoulis, Evangelos Oikonomou, and Dimitrios Tousoulis, “Echocardiography for the management of patients with biventricular pacing: Possible roles in cardiac resynchronization therapy implementation,” Hellenic Journal of Cardiology, 2018. View at Publisher · View at Google Scholar
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