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2008, Chapman & Hall/CRC computer and information science series., ISBN 1584886625, xxvi, 466
Book
Medical Physics, ISSN 0094-2405, 11/2014, Volume 41, Issue 11, pp. 111912 - n/a
...) images from undersampled noisy data, allowing for imaging dose reduction. However, there are a few practical concerns preventing the clinical implementation of these techniques... 
Computed radiography | iterative reconstruction | Tissues | parallel processing | GPU | CBCT | Digital computing or data processing equipment or methods, specially adapted for specific applications | artifact | Computed tomography | Medical X‐ray imaging | Computerised tomographs | medical image processing | Artifacts and distortion | Reconstruction | Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes | diagnostic radiography | image reconstruction | graphics processing units | Image sensors | computerised tomography | Cone beam computed tomography | Image data processing or generation, in general | radiation therapy | Image guided radiation therapy | Medical image reconstruction | Therapeutic applications, including brachytherapy | Processor architectures; Processor configuration, e.g. pipelining | low‐dose | Medical image artifacts | low-dose | RISKS | QUALITY | SCATTER CORRECTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | COMPUTED-TOMOGRAPHY | PROJECTION DATA | Artifacts | Computer Graphics | Head and Neck Neoplasms - radiotherapy | Algorithms | Time Factors | Head and Neck Neoplasms - diagnostic imaging | Humans | Image Processing, Computer-Assisted - methods | Radiation Dosage | Radiotherapy, Image-Guided | Phantoms, Imaging | Cone-Beam Computed Tomography | INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY | HEAD | PATIENTS | DESIGN | CONES | BEAMS | RESOLUTION | IMPLEMENTATION | CONTAMINATION | PLANT TISSUES | ANIMAL TISSUES | COMPARATIVE EVALUATIONS | 60 APPLIED LIFE SCIENCES | ACCELERATION | DOSES | IMAGES | PELVIS | PHANTOMS | ITERATIVE METHODS | NECK | RADIOTHERAPY | EFFICIENCY | Radiation Imaging Physics
Journal Article
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, ISSN 1364-503X, 05/2009, Volume 367, Issue 1895, pp. 1869 - 1884
.... It outlines current implementations in established, open source computation and visualization software, both drawing on decades of bioengineering modelling software development experience.... 
Mathematical sets | Computer software | Data visualization | Multilevel models | Coordinate systems | Mathematical independent variables | Connectivity | Mathematical functions | Data models | Application programming interfaces | Serialization | Field | Modelling | Fieldml | Computation | serialization | field | MULTIDISCIPLINARY SCIENCES | FieldML | modelling | computation | PARALLEL | Computer Simulation | Database Management Systems
Journal Article
Computer Graphics Forum, ISSN 0167-7055, 03/2011, Volume 30, Issue 1, pp. 99 - 112
Journal Article
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ISSN 1063-8210, 01/2017, Volume 25, Issue 1, pp. 165 - 176
Journal Article
The International Journal of High Performance Computing Applications, ISSN 1094-3420, 11/2011, Volume 25, Issue 4, pp. 496 - 509
Journal Article
Neural Networks, ISSN 0893-6080, 05/2019, Volume 113, pp. 72 - 78
.... The parallel broadcast alignment achieves a significant 137× speedup compared to its original implementation on MNIST dataset... 
Deep spiking neural networks | Parallel implementation | Spike-based deep learning | Neuromorphic computing | NEURAL-NETWORKS | MODELS | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Algorithms | Data mining | Neural networks | Analysis
Journal Article
Journal Article
Information Processing Letters, ISSN 0020-0190, 03/2012, Volume 112, Issue 7, pp. 277 - 281
In this note we introduce a new randomized algorithm for counting triangles in graphs. We show that under mild conditions, the estimate of our algorithm is... 
Concentration of measure | Randomized algorithms | Graph algorithms | Parallel algorithms | MULTIVARIATE POLYNOMIALS | COMPUTER SCIENCE, INFORMATION SYSTEMS | GRAPHS | Algorithms | Computation | Triangles | Parallel processing | Graphs | Estimates | Counting
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 04/2016, Volume 48, pp. 35 - 41
Journal Article
AIChE Journal, ISSN 0001-1541, 11/2019, Volume 65, Issue 11, p. n/a
.... In the present article, computational implementation issues of this new control method ranging from training of the RNN models, ensemble regression of the RNN models, and parallel computation for accelerating the real... 
ensemble learning | model predictive control | nonlinear systems | recurrent neural networks | parallel computing | ENGINEERING, CHEMICAL | PARALLEL | Nonlinear dynamics | Recurrent neural networks | Tools | Regression analysis | Dynamical systems | Organic chemistry | Learning algorithms | Neural networks | Computer applications | Machine learning | Parallel processing | Chemical reactors | Nonlinear systems | Nonlinear control | Predictive control
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 03/2019, Volume 76, pp. 105 - 120
We present both sequential and data parallel approaches to build hierarchical minimum spanning forest (MSF) or tree (MST) in Euclidean space (EMSF/EMST) for... 
Decentralized control | EMST | Euclidean minimum spanning tree | GPU parallel EMST | Breadth first search | GPU parallel BFS | Data parallel | GRAPH | NEAREST-NEIGHBOR SEARCH | MODEL | KD-TREE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | Methods | Algorithms
Journal Article