| 2022 | MICCAI | Implicit Neural Representations for Generative Modeling of Living Cell Shapes. | David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink |
| 2021 | MICCAI | Transfer Learning in Optical Microscopy. | Marin Kozlovsk, David Wiesner, David Svoboda |
| 2019 | ICIAP | On Generative Modeling of Cell Shape Using 3D GANs. | David Wiesner, Tereza Necasov, David Svoboda |
| 2019 | ICIP | Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy. | Martin Maska, Tereza Necasov, David Wiesner, Dmitry V. Sorokin, Igor Peterlk, Vladimr Ulman, David Svoboda |
| 2018 | ECCV | Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data. | Tereza Necasov, David Svoboda |
| 2018 | ICSE | Prioritizing alerts from multiple static analysis tools, using classification models. | Lori Flynn, William Snavely, David Svoboda, Nathan M. VanHoudnos, Richard Qin, Jennifer Burns, David Zubrow, Robert Stoddard, Guillermo Marce-Santurio |
| 2018 | MICCAI | Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia. | Igor Peterlk, David Svoboda, Vladimr Ulman, Dmitry V. Sorokin, Martin Maska |
| 2018 | MICCAI | Tubular Network Formation Process Using 3D Cellular Potts Model. | David Svoboda, Tereza Necasov, Lenka Tesarov, Pavel Simara |
| 2017 | MICCAI | Multimodal Simulations in Live Cell Imaging. | David Svoboda, Michal Kozubek |
| 2016 | ICIP | Vascular network formation in silico using the extended cellular potts model. | David Svoboda, Vladimr Ulman, Peter Kovc, Barbara Salingova, Lenka Tesarov, Irena K. Koutna, Petr Matula |
| 2015 | ICIAP | TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells. | Vladimr Ulman, Zoltn Ormus, David Svoboda |
| 2014 | ICIP | On proper simulation of phenomena influencing image formation in fluorescence microscopy. | David Svoboda, Vladimr Ulman, Ludek Matyska, Martin Maska, Jan Bella, Stanislav Stejskal |
| 2014 | ICPR | RSURF - The Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEP-2 Cells. | Toms Majtner, Roman Stoklasa, David Svoboda |
| 2014 | IWCIA | Comparison of 3D Texture-Based Image Descriptors in Fluorescence Microscopy. | Toms Majtner, David Svoboda |
| 2013 | ICA3PP | Deconvolution of Huge 3-D Images: Parallelization Strategies on a Multi-GPU System. | Pavel Karas, Michal Kuderjav, David Svoboda |
| 2013 | ICIAP | Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations. | David Svoboda, Vladimr Ulman |
| 2012 | ACIVS | GPU Optimization of Convolution for Large 3-D Real Images. | Pavel Karas, David Svoboda, Pavel Zemck |
| 2011 | ICIAP | Efficient Computation of Convolution of Huge Images. | David Svoboda |
| 2010 | ISSRE | As-If Infinitely Ranged Integer Model. | Roger B. Dannenberg, Will Dormann, David Keaton, Robert C. Seacord, David Svoboda, Alex Volkovitsky, Timothy Wilson, Thomas Plum |
| 2008 | IPAS | Statistical edge detection of concealed weapons using artificial neural networks. | Ian Williams, David Svoboda, Nicholas Bowring, Elizabeth Guest |
| 2007 | CAIP | On Simulating 3D Fluorescent Microscope Images. | David Svoboda, Marek Kask, Martin Maska, Jan Huben, Stanislav Stejskal, Michal Zimmermann |
| 2007 | ISVC | A Comparison of Fast Level Set-Like Algorithms for Image Segmentation in Fluorescence Microscopy. | Martin Maska, Jan Huben, David Svoboda, Michal Kozubek |
| 2002 | AMTA | The KANTOO MT System: Controlled Language Checker and Lexical Maintenance Tool. | Teruko Mitamura, Eric Nyberg, Kathryn L. Baker, Peter A. Cramer, Jeongwoo Ko, David Svoboda, Michael Duggan |
| 2002 | AMTA | Deriving Semantic Knowledge from Descriptive Texts Using an MT System. | Eric Nyberg, Teruko Mitamura, Kathryn L. Baker, David Svoboda, Brian Peterson, Jennifer Williams |