Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science
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TOTAL DOCUMENTS

(FIVE YEARS 16)

H-INDEX

(FIVE YEARS 2)

Published By Springer International Publishing

9783030208042, 9783030208059

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Variants of Simulated Annealing for Strip Constrained Binary Tomography

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_8 ◽

2019 ◽

pp. 82-92 ◽

Cited By ~ 1

Author(s):

Judit Szűcs ◽

Péter Balázs

Keyword(s):

Simulated Annealing ◽

Binary Tomography

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Automatic Segmentation and Quantitative Analysis of Irradiated Zebrafish Embryos

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_9 ◽

2019 ◽

pp. 95-107

Author(s):

Melinda Katona ◽

Tünde Tőkés ◽

Emília Rita Szabó ◽

Szilvia Brunner ◽

Imre Zoltán Szabó ◽

...

Keyword(s):

Quantitative Analysis ◽

Automatic Segmentation ◽

Zebrafish Embryos

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Structuring Digital Plane by Closure Operators Associated with n-ary Relations

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_2 ◽

2019 ◽

pp. 16-22

Author(s):

Josef Slapal

Keyword(s):

Closure Operators ◽

Digital Plane

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An Immersed Boundary Approach for the Numerical Analysis of Objects Represented by Oriented Point Clouds

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_4 ◽

2019 ◽

pp. 33-41

Author(s):

László Kudela ◽

Stefan Kollmannsberger ◽

Ernst Rank

Keyword(s):

Numerical Analysis ◽

Point Clouds ◽

Immersed Boundary

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Classification of Breast Lesions Using Quantitative Dynamic Contrast Enhanced-MRI

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_10 ◽

2019 ◽

pp. 108-119

Author(s):

Mohan Jayatilake ◽

Teresa Gonçalves ◽

Luís Rato

Keyword(s):

Breast Lesions ◽

Dynamic Contrast Enhanced Mri ◽

Dynamic Contrast Enhanced ◽

Enhanced Mri ◽

Contrast Enhanced ◽

Contrast Enhanced Mri

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Fast Object Detector Based on Convolutional Neural Networks

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_15 ◽

2019 ◽

pp. 173-185

Author(s):

Karol Piaskowski ◽

Dominik Belter

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks

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Pure Hexagonal Context-Free Grammars Generating Hexagonal Patterns

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_5 ◽

2019 ◽

pp. 42-55

Author(s):

Pawan Kumar Patnaik ◽

Venkata Padmavati Metta ◽

Jyoti Singh ◽

D. G. Thomas

Keyword(s):

Context Free ◽

Context Free Grammars

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Sequential Projection Selection Methods for Binary Tomography

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_7 ◽

2019 ◽

pp. 70-81 ◽

Cited By ~ 2

Author(s):

Gábor Lékó ◽

Péter Balázs

Keyword(s):

Selection Methods ◽

Binary Tomography

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Clustering Functional MRI Patterns with Fuzzy and Competitive Algorithms

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_12 ◽

2019 ◽

pp. 129-144

Author(s):

Alberto Arturo Vergani ◽

Samuele Martinelli ◽

Elisabetta Binaghi

Keyword(s):

Functional Mri ◽

Competitive Algorithms

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Multimaterial Tomography: Reconstruction from Decomposed Projection Sets

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20805-9_6 ◽

2019 ◽

pp. 56-69

Author(s):

László G. Varga

Keyword(s):

Tomography Reconstruction

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Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Variants of Simulated Annealing for Strip Constrained Binary Tomography

Automatic Segmentation and Quantitative Analysis of Irradiated Zebrafish Embryos

Structuring Digital Plane by Closure Operators Associated with n-ary Relations

An Immersed Boundary Approach for the Numerical Analysis of Objects Represented by Oriented Point Clouds

Classification of Breast Lesions Using Quantitative Dynamic Contrast Enhanced-MRI

Fast Object Detector Based on Convolutional Neural Networks

Pure Hexagonal Context-Free Grammars Generating Hexagonal Patterns

Sequential Projection Selection Methods for Binary Tomography

Clustering Functional MRI Patterns with Fuzzy and Competitive Algorithms

Multimaterial Tomography: Reconstruction from Decomposed Projection Sets

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science
Latest Publications