All Stories

  1. A stochastic reaction–diffusion avian influenza model with fast and slow time scales: Near-optimality of control strategies
  2. Controllability of Functional and Structural Brain Networks
  3. Analysis of a stochastic reaction–diffusion Alzheimer’s disease system driven by space–time white noise
  4. Stationary distribution of a stochastic vegetation–water system with reaction–diffusion
  5. Multiobjective genetic programming for reinforced concrete beam modeling
  6. AI ‐Enhanced Diagnosis of Challenging Lesions in Breast MRI : A Methodology and Application Primer
  7. Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging
  8. A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using Raspberry Pi
  9. Big data analytics in medical imaging using deep learning
  10. Determining driver nodes in dynamic signed biological networks
  11. Model reduction of structural biological networks by cycle removal
  12. Technical Note: A comparison of point set registration methods for electromagnetic tracking
  13. Pinning observability of competitive neural networks with different time–constants
  14. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients
  15. Contrast-enhanced spectral mammography in the evaluation of breast suspicious calcifications: diagnostic accuracy and impact on surgical management
  16. A theta-scheme approximation of basic reproduction number for an age-structured epidemic system in a finite horizon
  17. Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging
  18. Multi-stage optimization of a deep model: A case study on ground motion modeling
  19. Deep Learning in Medical Imaging
  20. A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction
  21. An Evolutionary Online Framework for MOOC Performance Using EEG Data
  22. Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets
  23. Reconfigurable instrument for measuring variations of capacitor's dielectric: an application to olive oil quality monitoring
  24. Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement
  25. Multi-level analysis of spatio-temporal features in non-mass enhancing breast tumors
  26. Wearable biosignal acquisition system for decision aid
  27. A scalable communication abstraction framework for internet of things applications using Raspberry Pi
  28. NewsAnalyticalToolkit: an online natural language processing platform to analyze news
  29. Breast lesion segmentation software for DCE-MRI: An open source GPGPU based optimization
  30. Determining disease evolution driver nodes in dementia networks
  31. Determining the importance of parameters extracted from multi-parametric MRI in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer
  32. Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification
  33. 3D Gabor Filters for Chest Segmentation in DCE-MRI
  34. Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis
  35. Correction to: Exponential stability of impulsive stochastic genetic regulatory networks with time-varying delays and reaction-diffusion
  36. Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks
  37. High Performance GP-Based Approach for fMRI Big Data Classification
  38. An evolutionary approach for fMRI big data classification
  39. Reconfigurable wearable to monitor physiological variables and movement
  40. Dynamical graph theory networks techniques for the analysis of sparse connectivity networks in dementia
  41. The driving regulators of the connectivity protein network of brain malignancies
  42. Information fusion based techniques for HEVC
  43. Pre-processing techniques to improve HEVC subjective quality
  44. Intraoperative Magnetic Resonance Imaging of Cerebral Oxygen Metabolism During Resection of Brain Lesions
  45. Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer’s with Visual Support
  46. Computer-aided diagnosis of diagnostically challenging lesions in breast MRI: a comparison between a radiomics and a feature-selective approach
  47. Proteomic data analysis of glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques
  48. Multiparametrische und molekulare Bildgebung von Brusttumoren mit MRT und PET‑MRT
  49. Recent applications of liquid metals featuring nanoscale surface oxides
  50. Smart sensing surveillance video system
  51. 3D MEMS sensor for application on earthquakes early detection and Nowcast
  52. Deconstructing and constructing innate immune functions using molecular sensors and actuators
  53. Robustness of remote stress detection from visible spectrum recordings
  54. Custom instruction for NIOS II processor FFT implementation for image processing
  55. Real-time fetal ECG system design using embedded microprocessors
  56. HEVC optimizations for medical environments
  57. Image quality (IQ) guided multispectral image compression
  58. Radon transform imaging: low-cost video compressive imaging at extreme resolutions
  59. Convergence rates of finite difference stochastic approximation algorithms part I: general sampling
  60. Convergence rates of finite difference stochastic approximation algorithms part II: implementation via common random numbers
  61. Pre-trained D-CNN models for detecting complex events in unconstrained videos
  62. Predicting healthcare associated infections using patients' experiences
  63. Independent component analysis decomposition of hospital emergency department throughput measures
  64. Analysis of geographical variations of healthcare providers performance using the empirical mode decomposition
  65. Role of diversity in ICA and IVA: theory and applications
  66. Multispectral image fusion for vehicle identification and threat analysis
  67. Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment
  68. Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients
  69. Normalization of T2W-MRI prostate images using Rician a priori
  70. Inference of Predictive Phospho-regulatory Networks from LC-MS/MS Phosphoproteomics Data
  71. Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays
  72. ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data
  73. Visual exploratory analysis of integrated chromosome 19 proteomic data derived from glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques
  74. Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation
  75. Independent component analysis algorithm FPGA design to perform real-time blind source separation
  76. Dynamical complex network theory applied to the therapeutics of brain malignancies
  77. Customized Nios II multi-cycle instructions to accelerate block-matching techniques
  78. Elementary Morphology for SO(2)- and SO(3)-Orientation Fields
  79. An open source Java web application to build self-contained web GIS sites
  80. Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach
  81. Data analysis techniques in phosphoproteomics
  82. OWGIS 2.0
  83. Mining Interaction Patterns among Brain Regions by Clustering
  84. GPU Implementation of Bayesian Neural Network Construction for Data-Intensive Applications
  85. Split Bregman's optimization method for image construction in compressive sensing
  86. Code obfuscation using very long identifiers for FFT motion estimation models in embedded processors
  87. Characterization of different datasets for ICA algorithms
  88. Advanced Computer Vision Approaches in Biomedical Image Analysis
  89. Analysis of Dynamic Susceptibility Contrast MRI Time-Series Based on Unsupervised Clustering Methods
  90. Computer-Aided Diagnosis for Diagnostically Challenging Breast Lesions in DCE-MRI
  91. Feature Selection and Extraction
  92. Foundations of Neural Networks
  93. Genetic Algorithms
  94. Introduction
  95. Neuro-Fuzzy Classification
  96. Pattern Recognition and Signal Analysis in Medical Imaging
  97. Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA
  98. Spatio-Temporal Models in Functional and Perfusion Imaging
  99. Specialized Neural Networks Relevant to Bioimaging
  100. Stability Analysis Including Monostability and Multistability in Dynamical System and Applications
  101. Statistical and Syntactic Pattern Recognition
  102. Subband Coding and Wavelet Transform
  103. The Wavelet Transform in Medical Imaging
  104. Transformation and Signal-Separation Neural Networks
  105. Stochastic stability analysis of competitive neural networks with different time-scales
  106. Integrative Biological Analysis For Neuropsychopharmacology
  107. Optimization of block-matching algorithms using custom instruction-based paradigm on NIOS II microprocessors
  108. CAD-system based on kinetic analysis for non-mass-enhancing lesions in DCE-MRI
  109. Visual analysis and dynamical control of phosphoproteomic networks
  110. Automated analysis of spatio-temporal features for non-masses
  111. Learning a Quality-Based Ranking for Feature Point Trajectories
  112. Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension
  113. Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine
  114. Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI
  115. Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis
  116. Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms
  117. Computer-aided diagnosis of small lesions and non-masses in breast MRI
  118. Multiplatform GPGPU implementation of the active contours without edges algorithm
  119. Automated analysis of single and joint kinetic and morphologic features for non-masses
  120. Quantitative analysis of breast DCE-MR images based on ICA and an empirical model
  121. Spatio-temporal feature extraction for differentiation of non-mass-enhancing lesions in breast MRI
  122. The extended TILAR approach: a novel tool for dynamic modeling of the transcription factor network regulating the adaption to in vitro cultivation of murine hepatocytes
  123. Gaussian graphical modeling reveals specific lipid correlations in glioblastoma cells
  124. NIOS II processor-based acceleration of motion compensation techniques
  125. Optical flow optimization using parallel genetic algorithm
  126. Graph clustering techniques applied to the glycomic response in glioblastoma cells to treatments with STAT3 phosphorylation inhibition and fetal bovine serum
  127. Improved computer-aided diagnosis for breast lesions detection in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics
  128. An Undergraduate Course and Laboratory in Digital Signal Processing With Field Programmable Gate Arrays
  129. Computing H/D-Exchange rates of single residues from data of proteolytic fragments
  130. Message from the DBLM 2010 Workshop Chairs
  131. Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties
  132. Application and evaluation of novel optical-flow-based motion correction algorithms to breast MRI
  133. Computational techniques to the topology and dynamics of lipidomic networks found in glioblastoma cells
  134. Novel systems biology and computational methods for lipidomics
  135. Computer-aided diagnosis and lipidomics analysis to detect and treat breast cancer
  136. Information-Theoretic Model Selection for Independent Components
  137. Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations
  138. Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops of the Tryptophan Regulatory Network of Escherichia coli
  139. Global stability analysis and robust design of multi-time-scale biological networks under parametric uncertainties
  140. On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data
  141. Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods
  142. Global uniform stability analysis of biological networks with different time-scales under perturbations
  143. ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data
  144. Application and evaluation of a motion compensation technique to breast MRI
  145. Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis
  146. Visual exploratory analysis of DCE-MRI data in breast cancer based on novel nonlinear dimensional data reduction techniques
  147. Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI
  148. DSP with FPGAs: a Xilinx/Simulink-based course and laboratory
  149. Dependent component analysis applied to lesions' characterization in breast MRI
  150. Gene regulatory networks simplified by nonlinear balanced truncation
  151. Intelligent computer-aided diagnosis system for breast MRI combining kinetic and morphological aspects
  152. Robust stability analysis of the heat shock response in E. coli
  153. Computing H/D-exchange speeds of single residues from data of peptic fragments
  154. Computer-aided segmentation and 3D analysis of in vivo MRI examinations of the human vocal tract during phonation
  155. Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning
  156. Local and Global Stability Analysis of an Unsupervised Competitive Neural Network
  157. Classification of Small Contrast Enhancing Breast Lesions in Dynamic Magnetic Resonance Imaging Using a Combination of Morphological Criteria and Dynamic Analysis Based on Unsupervised Vector-Quantization
  158. Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI
  159. Robust stability analysis of competitive neural networks with different time-scales under perturbations
  160. A performance analysis of lattice oscilation model kernels and KPCA
  161. Unsupervised clustering of fMRI and MRI time series
  162. Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods
  163. Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis
  164. Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks
  165. Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series
  166. Evolutionary computation-based kernel optimal component analysis for pattern recognition
  167. Novel Kernels and Kernel PCA for Pattern Recognition
  168. Global stability analysis of competitive neural networks under perturbations
  169. Small mammographic lesions evaluation based on neural gas network
  170. Analysis of breast MRI data based on (topographic) independent and tree-dependent component analysis
  171. Exploratory analysis of functional MRI data using HSOM and HTMP
  172. Smart Altera firmware for DSP with FPGAs
  173. Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI
  174. Stability analysis of an unsupervised neural network with feedforward and feedback dynamics
  175. A comparison between neural and fuzzy cluster analysis techniques for functional MRI
  176. Visualization of suspicious lesions in breast MRI based on intelligent neural systems
  177. Dynamical aspects of multi-time scale unsupervised neural networks
  178. Detecting low-frequency functional connectivity in fMRI using unsupervised clustering algorithms
  179. Discrete wavelet transform FPGA design using MatLab/Simulink
  180. Performance evaluation based on cluster validity indices in medical imaging
  181. Blind source separation based on self-organizing neural network
  182. Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series
  183. Computerassistierte Diagnose in der dynamischen Mamma-MRT: Kann maschinelles Lernen durch neuronale Netze die diagnostische Qualität der Analyse suspekter Läsionen verbessern?
  184. Robust Stability Analysis of a Class of Noise Perturbed Two–Time Scale Neural Networks
  185. Segmentation and classification of dynamic breast magnetic resonance image data
  186. Stability Analysis of an Unsupervised Competitive Neural Network
  187. Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection
  188. Medical image compression using topology-preserving neural networks
  189. Computerunterstützte Bildanalyse in der dynamischen Perfusions-MRT des Gehirns durch Vektorquantisierung mit neuronalen Netzen
  190. Evaluation der dynamischen kontrastverstärkten Magnetresonanz-Mammographie mittels künstlicher neuronaler Netze zur Dignitätsbeurteilung mammographisch unklarer Herdbefunde
  191. Quantitative Beurteilung explorativer Methoden zur Datenanalyse in der funktionellen MRT
  192. <title>Analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series based on unsupervised clustering methods</title>
  193. <title>Computer-aided diagnosis in breast MRI based on ICA and unsupervised clustering techniques</title>
  194. Exploratory data analysis methods applied to fMRI
  195. Fully automated biomedical image segmentation by self-organized model adaptation
  196. Comparison of Two Exploratory Data Analysis Methods for fMRI: Unsupervised Clustering Versus Independent Component Analysis
  197. MODEL-FREE FUNCTIONAL MRI ANALYSIS USING TOPOGRAPHIC INDEPENDENT COMPONENT ANALYSIS
  198. Fast <bold>K</bold>-dimensional tree-structured vector quantization encoding method for image compression
  199. Computer-aided diagnosis in breast MRI based on unsupervised clustering techniques
  200. Model-free functional MRI analysis using improved fuzzy cluster analysis techniques
  201. Data partitioning and independent component analysis techniques applied to fMRI
  202. Tree-dependent and topographic independent component analysis for fMRI analysis
  203. Local exponential stability of competitive neural networks with different time scales
  204. Model-free functional MRI analysis based on unsupervised clustering
  205. Feature selection and extraction
  206. Genetic algorithms
  207. Introduction
  208. Pattern Recognition in Medical Imaging
  209. Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
  210. Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis
  211. A parallel CORDIC architecture dedicated to compute the Gaussian potential function in neural networks
  212. A high-radix CORDIC architecture dedicated to compute the Gaussian potential function in neural networks
  213. Model-free functional MRI analysis using cluster-based methods
  214. Global exponential stability of competitive neural networks with different time scales
  215. Model-free functional MRI analysis using transformation-based methods
  216. GLOBAL ASYMPTOTIC STABILITY OF A CLASS OF DYNAMICAL NEURAL NETWORKS
  217. Comparison between JPEG and a New Neural Compression Method for Digitized Mammograms
  218. Neural network-based EKG pattern recognition
  219. <title>Fast tree-structured vector quantization method for medical image compression</title>
  220. <title>Hebbian- and anti-Hebbian-type neural network for blind separation of nonstationary signals</title>
  221. Digital Signal Processing with Field Programmable Gate Arrays
  222. Introduction
  223. <title>Neural nonlinear principal component analyzer for lossy compressed digital mammography</title>
  224. An interspike interval method for computing phase locking from neural firing
  225. Medical image compression by "neural-gas" network and principal component analysis
  226. Neural Net Computing for Image Processing
  227. <title>Neural net computing for biomedical image processing</title>
  228. Neuronale Netz-Detektion von Brustkrebs basierend auf einer Multi-Skalen Analyse
  229. Transformation radial basis neural network for relevant feature selection
  230. Dynamic analysis of continuous self-organizing cortical maps
  231. Stability Analysis of a Class of Noise Perturbed Neural Networks
  232. <title>Auditory neuron models for cochlea implants</title>
  233. <title>Dynamical analysis of variable-structure neural systems</title>
  234. Realisierung einer neuronalen Hardware mit Signalprozessor und programmierbaren Gate-Arrays
  235. Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales
  236. <title>Local and global stability analysis methods of multitime scale neural networks</title>
  237. <title>Realization of a neuronal hardware with digital signal processor and programmable gate arrays</title>
  238. Coordinate Rotation DIgital Computer (CORDIC) synthesis for FPGA
  239. Exploratory data analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series
  240. Clustering of dependent components: a new paradigm for fMRI signal detection
  241. Stability analysis of a self-organizing neural network with feedforward and feedback dynamics
  242. Perturbation analysis of a class of neural networks
  243. A Flexible Machine Learning Image Analysis System for High-Precision Computer-Assisted Segmentation of Multispectral MRI Data Sets in Patients with Multiple Sclerosis
  244. Asymptotic hyperstability for the Hopfield model of neural networks
  245. Design of RNS frequency sampling filter banks
  246. Flow invariance for competitive multi-modal neural networks
  247. Flow invariance for competitive neural networks with different time-scales
  248. Global stability analysis of a nonlinear principal component analysis neural network
  249. Hebbian and anti-Hebbian learning for independent component analysis
  250. Multiscale segmentation through a radial basis neural network
  251. Quadratic-type Lyapunov functions for competitive neural networks with different time-scales
  252. Relevant features selection with radial basis neural networks
  253. Robust Stability Analysis of a Class of Noise Perturbed Two–Time Scale Neural Networks
  254. Stability Analysis of an Unsupervised Competitive Neural Network
  255. Stability analysis techniques for competitive neural networks with different time-scales
  256. Topographic independent component analysis for fMRI signal detection