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Citations to this Journal [9,488 citations: 1–100 of 8,628 articles]

Articles published in Computational and Mathematical Methods in Medicine have been cited 9,488 times. The following is a list of the 8,628 articles that have cited the articles published in Computational and Mathematical Methods in Medicine.

  • P. Saccomandi, E. Schena, M. Diana, J. Marescaux, and G. Costamagna, “Thermal Treatments of Tumors,” Biomedical Engineering Challenges, pp. 199–228, 2018. View at Publisher · View at Google Scholar
  • Hervé Abdi, Lynne J. Williams, and Michel Béra, “Barycentric Discriminant Analysis,” Encyclopedia of Social Network Analysis and Mining, pp. 121–140, 2018. View at Publisher · View at Google Scholar
  • Scott C. E. Brandon, Colin R. Smith, and Darryl G. Thelen, “Simulation of Soft Tissue Loading from Observed Movement Dynamics,” Handbook of Human Motion, pp. 395–428, 2018. View at Publisher · View at Google Scholar
  • Sebastian Hirsch, Tobias Schaeffter, and Ingolf Sack, “The Fundamentals of Transport in Living Tissues Quantified by Medical Imaging Technologies,” Quantification of Biophysical Parameters in Medical Imaging, pp. 9–43, 2018. View at Publisher · View at Google Scholar
  • Daniel Miller, David Scheinker, and Nicholas Bambos, “A Practical Approach to Machine Learning for Clinical Decision Support,” Health Care Systems Engineering, vol. 210, pp. 111–120, 2018. View at Publisher · View at Google Scholar
  • Leif Sörnmo, Andrius Petrėnas, and Vaidotas Marozas, “Detection of Atrial Fibrillation,” Atrial Fibrillation from an Engineering Perspective, pp. 73–135, 2018. View at Publisher · View at Google Scholar
  • Leif Sörnmo, Raúl Alcaraz, Pablo Laguna, and José Joaquín Rieta, “Characterization of f Waves,” Atrial Fibrillation from an Engineering Perspective, pp. 221–279, 2018. View at Publisher · View at Google Scholar
  • Varvara Turova, Nikolai Botkin, Ana Alves-Pinto, Tobias Blumenstein, Esther Rieger-Fackeldey, and Renée Lampe, “Modeling Autoregulation of Cerebral Blood Flow Using Viability Approach,” Advances in Dynamic and Mean Field Games, vol. 15, pp. 345–363, 2018. View at Publisher · View at Google Scholar
  • Bastian Harrach, and Mach Nguyet Minh, “Monotonicity-Based Regularization for Phantom Experiment Data in Electrical Impedance Tomography,” New Trends in Parameter Identification for Mathematical Models, pp. 107–120, 2018. View at Publisher · View at Google Scholar
  • Jasna Rakonjac, Marjorie Russel, Sofia Khanum, Sam J. Brooke, and Marina Rajič, “Filamentous Phage: Structure and Biology,” Recombinant Antibodies for Infectious Diseases, vol. 1053, pp. 1–20, 2018. View at Publisher · View at Google Scholar
  • Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans, Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, and Andreas Meyerhans, “Multi-scale and Integrative Modelling Approaches,” Mathematical Immunology of Virus Infections, pp. 221–242, 2018. View at Publisher · View at Google Scholar
  • Fatin Nabila Rafei Heng, Mustafa Mat Deris, and Nurlida Basir, “A Similarity Precision for Selecting Ontology Component in an Incomplete Sentence,” Recent Advances on Soft Computing and Data Mining, vol. 700, pp. 95–104, 2018. View at Publisher · View at Google Scholar
  • Fatma Gül Akgül, and Birdal Şenoğlu, “Comparison of Estimation Methods for Inverse Weibull Distribution,” Trends and Perspectives in Linear Statistical Inference, pp. 1–22, 2018. View at Publisher · View at Google Scholar
  • Niklas Kolbe, Mária Lukáčová-Medvid’ová, Nikolaos Sfakianakis, and Bettina Wiebe, “Numerical Simulation of a Contractivity Based Multiscale Cancer Invasion Model,” Multiscale Models in Mechano and Tumor Biology, vol. 122, pp. 73–91, 2018. View at Publisher · View at Google Scholar
  • Urszula Markowska-Kaczmar, and Halina Kwaśnicka, “Deep Learning—A New Era in Bridging the Semantic Gap,” Bridging the Semantic Gap in Image and Video Analysis, vol. 145, pp. 123–159, 2018. View at Publisher · View at Google Scholar
  • Zahra Trad, Abdelwahed Barkaoui, Moez Chafra, João Manuel R.S. Tavares, Zahra Trad, Abdelwahed Barkaoui, Moez Chafra, and João Manuel R. S. Tavares, “Finite Element Models of the Knee Joint,” FEM Analysis of the Human Knee Joint, pp. 1–34, 2018. View at Publisher · View at Google Scholar
  • Nadia Brancati, Maria Frucci, Diego Gragnaniello, and Daniel Riccio, “Retinal Vessels Segmentation Based on a Convolutional Neural Network,” Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, vol. 10657, pp. 119–126, 2018. View at Publisher · View at Google Scholar
  • Saúl Calderón Ramírez, and Manuel Zumbado Corrales, “DNLM-IIFFT: An Implementation of the Deceived Non Local Means Filter Using Integral Images and the Fast Fourier Transform for a Reduced Computational Cost,” Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, vol. 10657, pp. 127–134, 2018. View at Publisher · View at Google Scholar
  • Ashish Phophalia, and Pradipta Maji, “Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method,” Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, vol. 10670, pp. 159–168, 2018. View at Publisher · View at Google Scholar
  • Reza Pourreza, Ying Zhuge, Holly Ning, and Robert Miller, “Brain Tumor Segmentation in MRI Scans Using Deeply-Supervised Neural Networks,” Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, vol. 10670, pp. 320–331, 2018. View at Publisher · View at Google Scholar
  • Yan Hu, and Yong Xia, “3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences,” Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, vol. 10670, pp. 423–434, 2018. View at Publisher · View at Google Scholar
  • Mariana Bento, Roberto de Souza, Roberto Lotufo, Richard Frayne, and Letícia Rittner, “WMH Segmentation Challenge: A Texture-Based Classification Approach,” Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, vol. 10670, pp. 489–500, 2018. View at Publisher · View at Google Scholar
  • Ngoc Anh Thi Nguyen, Trung Hung Vo, Sun-Hee Kim, Tran Quoc Vinh Nguyen, A-Ran Oh, and Hyung-Jeong Yang, “Low-Feature Extraction for Multi-label Patterns Analyzing in Complex Time Series Mining,” Intelligent Information and Database Systems, vol. 10751, pp. 307–317, 2018. View at Publisher · View at Google Scholar
  • Ali Dabbagh, Alireza Imani, and Samira Rajaei, “Cardiac Physiology,” Postoperative Critical Care for Adult Cardiac Surgical Patients, pp. 25–74, 2018. View at Publisher · View at Google Scholar
  • Iuon-Chang Lin, and Li-Cheng Yang, “A Noise Generation Scheme Based on Huffman Coding for Preserving Privacy,” Security with Intelligent Computing and Big-data Services, vol. 733, pp. 149–160, 2018. View at Publisher · View at Google Scholar
  • Thaína A. A. Tosta, Paulo Rogério de Faria, Leandro Alves Neves, and Marcelo Zanchetta do Nascimento, “Fitness Functions Evaluation for Segmentation of Lymphoma Histological Images Using Genetic Algorithm,” Applications of Evolutionary Computation, vol. 10784, pp. 47–62, 2018. View at Publisher · View at Google Scholar
  • Philippe J. Giabbanelli, and Magda Baniukiewicz, “Navigating Complex Systems for Policymaking Using Simple Software Tools,” Advanced Data Analytics in Health, vol. 93, pp. 21–40, 2018. View at Publisher · View at Google Scholar
  • Amin Khademi, Donglan Zhang, Philippe J. Giabbanelli, Shirley Timmons, Chengqian Luo, and Lu Shi, “An Agent-Based Model of Healthy Eating with Applications to Hypertension,” Advanced Data Analytics in Health, vol. 93, pp. 43–58, 2018. View at Publisher · View at Google Scholar
  • Tomasz Jastrzab, “Two Parallelization Schemes for the Induction of Nondeterministic Finite Automata on PCs,” Parallel Processing and Applied Mathematics, vol. 10777, pp. 279–289, 2018. View at Publisher · View at Google Scholar
  • Abraham Marciano, Laurent D. Cohen, and Najib Gadi, “Vehicle X-Ray Images Registration,” Energy Minimization Methods in Computer Vision and Pattern Recognition, vol. 10746, pp. 278–293, 2018. View at Publisher · View at Google Scholar
  • Debora Slanzi, Valentina Mameli, Marina Khoroshiltseva, and Irene Poli, “Multi-objective Optimization in High-Dimensional Molecular Systems,” Artificial Life and Evolutionary Computation, vol. 830, pp. 284–295, 2018. View at Publisher · View at Google Scholar
  • Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Verónica Bolón-Canedo, and Amparo Alonso-Betanzos, “Emerging Challenges,” Recent Advances in Ensembles for Feature Selection, vol. 147, pp. 173–205, 2018. View at Publisher · View at Google Scholar
  • Cosima Gretton, “Trust and Transparency in Machine Learning-Based Clinical Decision Support,” Human and Machine Learning, pp. 279–292, 2018. View at Publisher · View at Google Scholar
  • Zafer Cömert, and Adnan Fatih Kocamaz, “Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach,” Software Engineering and Algorithms in Intelligent Systems, vol. 763, pp. 239–248, 2018. View at Publisher · View at Google Scholar
  • Andrzej Swierniak, Michal Krzeslak, and Damian Borys, “Games with Resources and Their Use in Modeling Effects of Anticancer Treatment,” Information Technology in Biomedicine, vol. 762, pp. 290–299, 2018. View at Publisher · View at Google Scholar
  • Christoph Jud, Robin Sandkühler, and Philippe C. Cattin, “An Inhomogeneous Multi-resolution Regularization Concept for Discontinuity Preserving Image Registration,” Biomedical Image Registration, vol. 10883, pp. 3–12, 2018. View at Publisher · View at Google Scholar
  • Yao Miao, and Jianting Cao, “Patients’ EEG Analysis Based on Multi-indicator Dynamic Analysis Measure for Supporting Brain Death Determination,” Advances in Neural Networks – ISNN 2018, vol. 10878, pp. 824–833, 2018. View at Publisher · View at Google Scholar
  • Mariana Bento, Roberto Souza, Marina Salluzzi, and Richard Frayne, “Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique,” Image Analysis and Recognition, vol. 10882, pp. 538–545, 2018. View at Publisher · View at Google Scholar
  • S. Hemalatha, and S. Margret Anouncia, “Partial Fractional Derivative (PFD) based Texture Analysis Model for Medical Image Segmentation,” Knowledge Computing and Its Applications, pp. 213–225, 2018. View at Publisher · View at Google Scholar
  • S. Karthik, R. Srinivasa Perumal, and P. V. S. S. R. Chandra Mouli, “Breast Cancer Classification Using Deep Neural Networks,” Knowledge Computing and Its Applications, pp. 227–241, 2018. View at Publisher · View at Google Scholar
  • J. Zukhi, D. Yusob, A. A. Tajuddin, and R. Zainon, “Image Quality Evaluation in Contrast Agents Computed Tomography Imaging,” 3rd International Conference on Radiation Safety & Security in Healthcare Services, pp. 7–13, 2018. View at Publisher · View at Google Scholar
  • Matsilele Mabaso, Daniel Withey, and Bhekisipho Twala, “An Extension of 2D Laplacian of Gaussian (LoG)-Based Spot Detection Method to 3D,” Artificial Intelligence and Evolutionary Computations in Engineering Systems, vol. 668, pp. 15–26, 2018. View at Publisher · View at Google Scholar
  • Smita L. Kasar, Madhuri S. Joshi, Abhilasha Mishra, S. B. Mahajan, and P. Sanjeevikumar, “Performance Enhancement for Detection of Myocardial Infarction from Multilead ECG,” Artificial Intelligence and Evolutionary Computations in Engineering Systems, vol. 668, pp. 697–705, 2018. View at Publisher · View at Google Scholar
  • S. S. Poorna, V. V. Arsha, P. T. A. Aparna, Parvathy Gopal, and G. J. Nair, “Drowsiness Detection for Safe Driving Using PCA EEG Signals,” Progress in Computing, Analytics and Networking, vol. 710, pp. 419–428, 2018. View at Publisher · View at Google Scholar
  • B. V. Santhosh Krishna, T. Gnanasekaran, and S. Aswini, “Unsupervised Morphological Approach for Retinal Vessel Segmentation,” Progress in Computing, Analytics and Networking, vol. 710, pp. 743–752, 2018. View at Publisher · View at Google Scholar
  • Moumita Dholey, Atasi Sarkar, Maitreya Maity, Amita Giri, Anup Sadhu, Koel Chaudhury, Soumen Das, and Jyotirmoy Chatterjee, “A Computer Vision Approach for Lung Cancer Classification Using FNAC-Based Cytological Images,” Proceedings of 2nd International Conference on Computer Vision & Image Processing, vol. 704, pp. 181–195, 2018. View at Publisher · View at Google Scholar
  • Vanbang Le, Yu Zhu, Dawei Yang, Bingbing Zheng, and Xiaodong Ren, “A Quantitative Analysis System of Pulmonary Nodules CT Image for Lung Cancer Risk Classification,” Digital TV and Wireless Multimedia Communication, vol. 815, pp. 12–24, 2018. View at Publisher · View at Google Scholar
  • M. Latha, and G. Kavitha, “Diagnosis of Schizophrenia Disorder Using Wasserstein Based Active Contour and Texture Features,” Computational Signal Processing and Analysis, vol. 490, pp. 23–32, 2018. View at Publisher · View at Google Scholar
  • Tanya Makkar, Seema Verma, Yogesh, and Ashwani Kumar Dubey, “Analysis and Detection of Fruit Defect Using Neural Network,” Data Science and Analytics, vol. 799, pp. 554–567, 2018. View at Publisher · View at Google Scholar
  • Prerna Singh, and Priti Sehgal, “A Comparative Analysis of Various Segmentation Techniques on Dental Images,” Smart and Innovative Trends in Next Generation Computing Technologies, vol. 828, pp. 555–576, 2018. View at Publisher · View at Google Scholar
  • Elena Cocherova, Jana Svehlikova, and Milan Tysler, “Activation Propagation in Cardiac Ventricles Using the Model with the Conducting System,” World Congress on Medical Physics and Biomedical Engineering 2018, vol. 68/1, pp. 799–802, 2018. View at Publisher · View at Google Scholar
  • Zhipeng Cai, Jianqing Li, Kan Luo, Zhigang Wang, Xiangyu Zhang, Jian Zhang, and Chengyu Liu, “Effect of Myocardial Infarction Size on the Simulated ECG Morphology Based on a 3D Torso-Heart Model,” World Congress on Medical Physics and Biomedical Engineering 2018, vol. 68/2, pp. 357–360, 2018. View at Publisher · View at Google Scholar
  • Wannoraini Abdul Latif, and Fatihah Mohd, “Improved Feature Subset Selection Based on Hybrid Correlation for Disease Diagnosis,” Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016), pp. 55–66, 2018. View at Publisher · View at Google Scholar
  • Farida Aimi Mustapha, Hairil Rashmizal Abdul Razak, Farahnaz Ahmad Anwar Bashah, Ihsan M. Yassin, Fathinul Fikri Ahmad Saad, and Abdul Jalil Nordin, “Kidney Modeling Using a Polynomial Function,” Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016), pp. 625–635, 2018. View at Publisher · View at Google Scholar
  • Tae Mok Gwon, and Tae Mok Gwon, “Introduction,” A Polymer Cochlear Electrode Array: Atraumatic Deep Insertion, Tripolar Stimulation, and Long-Term Reliability, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Aleksandra Karolak, Saharsh Agrawal, Samantha Lee, and Katarzyna A. Rejniak, “Single-Cell-Based In Silico Models: A Tool for Dissecting Tumor Heterogeneity,” Reference Module in Biomedical Sciences, 2018. View at Publisher · View at Google Scholar
  • Jason Carson, Raoul Van Loon, and Perumal Nithiarasu, “Mathematical Techniques for Circulatory Systems,” Reference Module in Biomedical Sciences, 2018. View at Publisher · View at Google Scholar
  • Dunbar Ivy, “Right Heart Failure in Pediatric Pulmonary Hypertension,” Heart Failure in the Child and Young Adult, pp. 399–412, 2018. View at Publisher · View at Google Scholar
  • Preeti Pandey, Sabeeha Hasnain, and Shandar Ahmad, “Protein-DNA Interactions,” Reference Module in Life Sciences, 2018. View at Publisher · View at Google Scholar
  • Paolo Tieri, Lorenzo Farina, Manuela Petti, Laura Astolfi, Paola Paci, and Filippo Castiglione, “Network Inference and Reconstruction in Bioinformatics,” Reference Module in Life Sciences, 2018. View at Publisher · View at Google Scholar
  • Sorayya Malek, Mogeeb Mosleh, Sarinder K. Dhillon, and Pozi Milow, “Bioimage Informatics,” Reference Module in Life Sciences, 2018. View at Publisher · View at Google Scholar
  • Marta Gómez Perosanz, Giulia Russo, Jose Luis Sanchez-Trincado Lopez, Marzio Pennisi, Pedro A. Reche, Adrian Shepherd, and Francesco Pappalardo, “Computational Immunogenetics,” Reference Module in Life Sciences, 2018. View at Publisher · View at Google Scholar
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