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David Svoboda
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- affiliation: Masaryk University, Brno, Czech Republic
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2020 – today
- 2024
- [j11]David Wiesner
, Julian Suk
Generative modeling of living cells with SO(3)-equivariant implicit neural representations. Medical Image Anal. 91: 102991 (2024) - [c49]Tereza Necasová, Daniel Múcka, David Svoboda:
COMPYDA: An Online Tool for Verifying the Similarity of Image Datasets. ISBI 2024: 1-5 - 2023
- [e5]Jelmer M. Wolterink
Simulation and Synthesis in Medical Imaging - 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14288, Springer 2023, ISBN 978-3-031-44688-7 [contents] - [i2]David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink:
Generative modeling of living cells with SO(3)-equivariant implicit neural representations. CoRR abs/2304.08960 (2023) - 2022
- [c48]David Wiesner
Implicit Neural Representations for Generative Modeling of Living Cell Shapes. MICCAI (4) 2022: 58-67 - [e4]Can Zhao
Simulation and Synthesis in Medical Imaging - 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13570, Springer 2022, ISBN 978-3-031-16979-3 [contents] - [i1]David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink
Implicit Neural Representations for Generative Modeling of Living Cell Shapes. CoRR abs/2207.06283 (2022) - 2021
- [c47]William Klieber, Ruben Martins, Ryan Steele, Matt Churilla, Mike McCall, David Svoboda:
Automated Code Repair to Ensure Spatial Memory Safety. APR@ICSE 2021: 23-30 - [c46]Marián Kozlovský, David Wiesner, David Svoboda:
Transfer Learning in Optical Microscopy. SASHIMI@MICCAI 2021: 77-86 - [c45]David Svoboda:
Hands-on Tutorial: How Exploitable is Insecure C Code? SecDev 2021: 7-8 - [e3]David Svoboda
Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12965, Springer 2021, ISBN 978-3-030-87591-6 [contents] - 2020
- [c44]David Svoboda
Image-Based Simulations of Tubular Network Formation. ISBI 2020: 1608-1612 - [e2]Ninon Burgos
Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12417, Springer 2020, ISBN 978-3-030-59519-7 [contents]
2010 – 2019
- 2019
- [j10]David Wiesner
CytoPacq: a web-interface for simulating multi-dimensional cell imaging. Bioinform. 35(21): 4531-4533 (2019) - [c43]David Wiesner, Tereza Necasová, David Svoboda:
On Generative Modeling of Cell Shape Using 3D GANs. ICIAP (2) 2019: 672-682 - [c42]Martin Maska, Tereza Necasová, David Wiesner, Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman, David Svoboda:
Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy. ICIP 2019: 819-823 - [e1]Ninon Burgos
Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11827, Springer 2019, ISBN 978-3-030-32777-4 [contents] - 2018
- [j9]Michael Gabbay, Prokop Sousedík, David Svoboda:
Editorial. FLAP 5(6): 1259-1260 (2018) - [j8]Prokop Sousedík, David Svoboda:
Are Ante Rem Structuralists Descriptivist Or Revisionist Metaphysicians? How We Speak About Numbers. FLAP 5(6): 1399-1416 (2018) - [j7]Dmitry V. Sorokin
FiloGen: A Model-Based Generator of Synthetic 3-D Time-Lapse Sequences of Single Motile Cells With Growing and Branching Filopodia. IEEE Trans. Medical Imaging 37(12): 2630-2641 (2018) - [c41]Tereza Necasová, David Svoboda:
Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data. ECCV Workshops (6) 2018: 385-394 - [c40]Lori Flynn, William Snavely, David Svoboda, Nathan M. VanHoudnos, Richard Qin, Jennifer Burns, David Zubrow, Robert Stoddard, Guillermo Marce-Santurio:
Prioritizing alerts from multiple static analysis tools, using classification models. SQUADE@ICSE 2018: 13-20 - [c39]Igor Peterlík, David Svoboda, Vladimír Ulman, Dmitry V. Sorokin, Martin Maska
Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia. SASHIMI@MICCAI 2018: 71-79 - [c38]David Svoboda, Tereza Necasová, Lenka Tesarová, Pavel Simara:
Tubular Network Formation Process Using 3D Cellular Potts Model. SASHIMI@MICCAI 2018: 90-99 - [c37]Will Snavely, William Klieber, Ryan Steele, David Svoboda, Andrew Kotov:
Detecting Leaks of Sensitive Data Due to Stale Reads. SecDev 2018: 37-44 - 2017
- [j6]Petr Seckár, David Svoboda
FTutor: An interactive guide to the fundamentals of frequency analysis. Comput. Appl. Eng. Educ. 25(3): 508-520 (2017) - [j5]David Svoboda
MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy. IEEE Trans. Medical Imaging 36(1): 310-321 (2017) - [c36]Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman
Model-based generation of synthetic 3D time-lapse sequences of motile cells with growing filopodia. ISBI 2017: 822-826 - [c35]David Svoboda, Michal Kozubek
Multimodal Simulations in Live Cell Imaging. SASHIMI@MICCAI 2017: 89-98 - [c34]Lori Flynn, David Svoboda, William Snavely:
Hands-On Tutorial: Auditing Static Analysis Alerts Using a Lexicon & Rules. SecDev 2017: 1-2 - 2016
- [c33]David Svoboda
Vascular network formation in silico using the extended cellular potts model. ICIP 2016: 3180-3183 - [c32]David Svoboda, Lori Flynn, Will Snavely:
Static Analysis Alert Audits: Lexicon & Rules. SecDev 2016: 37-44 - [c31]Aaron Ballman, David Svoboda:
Avoiding Insecure C++ - How to Avoid Common C++ Security Vulnerabilities. SecDev 2016: 65 - [c30]David Svoboda:
Beyond errno: Error Handling in "C". SecDev 2016: 161 - 2015
- [c29]Vladimír Ulman
TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells. ICIAP (1) 2015: 623-634 - [c28]David Svoboda, Vladimír Ulman, Igor Peterlík:
On proper simulation of chromatin structure in static images as well as in time-lapse sequences in fluorescence microscopy. ISBI 2015: 712-716 - 2014
- [j4]Martin Maska
A benchmark for comparison of cell tracking algorithms. Bioinform. 30(11): 1609-1617 (2014) - [j3]Ian Williams, Nicholas Bowring, David Svoboda
A performance evaluation of statistical tests for edge detection in textured images. Comput. Vis. Image Underst. 122: 115-130 (2014) - [j2]Roman Stoklasa, Tomás Majtner
Efficient k-NN based HEp-2 cells classifier. Pattern Recognit. 47(7): 2409-2418 (2014) - [c27]David Svoboda, Lutz Wrage:
Pointer Ownership Model. HICSS 2014: 5090-5099 - [c26]Tomás Majtner
Texture analysis using 3D Gabor features and 3D MPEG-7 Edge Histogram descriptor in fluorescence microscopy. IC3D 2014: 1-7 - [c25]David Svoboda, Vladimír Ulman, Ludek Matyska
On proper simulation of phenomena influencing image formation in fluorescence microscopy. ICIP 2014: 3944-3948 - [c24]Tomás Majtner
RSURF - The Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEP-2 Cells. ICPR 2014: 1194-1199 - [c23]Tomás Majtner
Comparison of 3D Texture-Based Image Descriptors in Fluorescence Microscopy. IWCIA 2014: 186-195 - 2013
- [c22]Pavel Karas, Michal Kuderjavý, David Svoboda
Deconvolution of Huge 3-D Images: Parallelization Strategies on a Multi-GPU System. ICA3PP (1) 2013: 279-290 - [c21]David Svoboda
Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations. ICIAP (2) 2013: 429-438 - 2012
- [c20]Tomás Majtner
Extension of Tamura Texture Features for 3D Fluorescence Microscopy. 3DIMPVT 2012: 301-307 - [c19]Pavel Karas, David Svoboda
GPU Optimization of Convolution for Large 3-D Real Images. ACIVS 2012: 59-71 - [c18]David Svoboda
Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy. ICIAR (2) 2012: 473-482 - 2011
- [j1]Pavel Karas, David Svoboda
Convolution of large 3D images on GPU and its decomposition. EURASIP J. Adv. Signal Process. 2011: 120 (2011) - [c17]David Svoboda
Efficient Computation of Convolution of Huge Images. ICIAP (1) 2011: 453-462 - [c16]David Svoboda
Generation of 3D Digital Phantoms of Colon Tissue. ICIAR (2) 2011: 31-39 - 2010
- [c15]Roger B. Dannenberg, Will Dormann, David Keaton, Robert C. Seacord
As-If Infinitely Ranged Integer Model. ISSRE 2010: 91-100 - [c14]Ian Williams, David Svoboda, Nicholas Bowring:
A Novel Performance Metric for Grey-scale Edge Detection. VISAPP (1) 2010: 91-97
2000 – 2009
- 2008
- [c13]Ian Williams, David Svoboda
Statistical edge detection of concealed weapons using artificial neural networks. Image Processing: Algorithms and Systems 2008: 68121 - 2007
- [c12]David Svoboda, Marek Kasík, Martin Maska
On Simulating 3D Fluorescent Microscope Images. CAIP 2007: 309-316 - [c11]Martin Maska
A Comparison of Fast Level Set-Like Algorithms for Image Segmentation in Fluorescence Microscopy. ISVC (2) 2007: 571-581 - 2006
- [c10]David Svoboda, Ian Williams, Nicholas Bowring, Elizabeth Guest:
Statistical techniques for edge detection in histological images. VISAPP (1) 2006: 457-462 - 2003
- [c9]David Svoboda, Pavel Matula:
Tissue Reconstruction Based on Deformation of Dual Simplex Meshes. DGCI 2003: 514-523 - [c8]Pavel Matula, David Svoboda:
Spherical Object Reconstruction Using Simplex Meshes from Sparse Data. DGCI 2003: 524-533 - [c7]Teruko Mitamura, Kathryn Baker, David Svoboda, Eric Nyberg:
Source language diagnostics for MT. MTSummit 2003 - [c6]Eric Nyberg, Teruko Mitamura, James P. Callan, Jaime G. Carbonell, Robert E. Frederking, Kevyn Collins-Thompson, Laurie Hiyakumoto, Yifen Huang, Curtis Huttenhower, Scott Judy, Jeongwoo Ko, Anna Kupsc, Lucian Vlad Lita, Vasco Pedro, David Svoboda, Benjamin Van Durme:
The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. TREC 2003 - 2002
- [c5]Eric Nyberg, Teruko Mitamura, Kathryn L. Baker, David Svoboda, Brian Peterson, Jennifer Williams:
Deriving Semantic Knowledge from Descriptive Texts Using an MT System. AMTA 2002: 145-154 - [c4]Teruko Mitamura, Eric Nyberg, Kathryn L. Baker, Peter A. Cramer
The KANTOO MT System: Controlled Language Checker and Lexical Maintenance Tool. AMTA 2002: 244-247 - [c3]Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell, James P. Callan, Kevyn Collins-Thompson, Krzysztof Czuba, Michael Duggan, Laurie Hiyakumoto, N. Hu, Yifen Huang, Jeongwoo Ko, Lucian Vlad Lita, S. Murtagh, Vasco Pedro, David Svoboda:
The JAVELIN Question-Answering System at TREC 2002. TREC 2002 - 2001
- [c2]Pavel Matula, David Svoboda:
Spherical Object Reconstruction Using Star-Shaped Simplex Meshes. EMMCVPR 2001: 608-620 - [c1]Teruko Mitamura, Eric Nyberg, Enrique Torrejón, David Svoboda, Kathryn L. Baker:
Pronominal anaphora resolution in KANTOO English-to-Spanish machine translation system. MTSummit 2001
Coauthor Index
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last updated on 2024-09-09 00:16 CEST by the dblp team
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