| Image quality with iterative reconstruction techniques in CT of the lungs—A phantom study HK Andersen, D Völgyes, ACT Martinsen European journal of radiology open 5, 35-40, 2018 | 43 | 2018 |
| Characterisation of silica nanoparticulate layers with scanning-angle reflectometry E Hild, T Seszták, D Völgyes, Z Hórvölgyi From Colloids to Nanotechnology, 61-67, 2004 | 30 | 2004 |
| TeraTomo project: a fully 3D GPU based reconstruction code for exploiting the imaging capability of the NanoPET/CT system M Magdics, L Szirmay-Kalos, Á Szlavecz, G Hesz, B Benyó, Á Cserkaszky, ... World Molecular Imaging Congress, 2010 | 24 | 2010 |
| Performance evaluation of scatter modeling of the GPU-based “Tera-Tomo” 3D PET reconstruction M Magdics, L Szirmay-Kalos, B Tóth, D Légrády, A Cserkaszky, L Balkay, ... 2011 IEEE Nuclear Science Symposium Conference Record, 4086-4088, 2011 | 22 | 2011 |
| How different iterative and filtered back projection kernels affect computed tomography numbers and low contrast detectability D Völgyes, M Pedersen, A Stray-Pedersen, D Waaler, ACT Martinsen Journal of computer assisted tomography 41 (1), 75-81, 2017 | 16 | 2017 |
| A weighted histogram-based tone mapping algorithm for CT images D Völgyes, ACT Martinsen, A Stray-Pedersen, D Waaler, M Pedersen Algorithms 11 (8), 111, 2018 | 12 | 2018 |
| NEMA NU4-2008 performance evaluation of Albira: A two-ring small-animal PET system using continuous LYSO crystals MZ Pajak, D Volgyes, SL Pimlott, CC Salvador, AS Asensi, C McKeown, ... Open Medicine Journal 3 (1), 2016 | 11 | 2016 |
| Detector modeling techniques for pre-clinical 3D PET reconstruction on the GPU M Magdics, B Tóth, L Szécsi, B Csébfalvi, L Szirmay-Kalos, A Szlavecz, ... 11th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2011 | 6 | 2011 |
| Local energy scale map for NanoPET™/CT system P Major, G Hesz, Á Szlávecz, D Volgyes, B Benyó, G Németh 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 3177-3180, 2009 | 6 | 2009 |
| Mitral annulus segmentation and anatomical orientation detection in TEE images using periodic 3D CNN BS Andreassen, D Völgyes, E Samset, AHS Solberg IEEE access 10, 51472-51486, 2022 | 5 | 2022 |
| Presentation of test measurements with a commercial small animal PET/MR imaging system K Nagy, G Nemeth, P Major, Z Nyitrai, D Máthé, B Gulyás, C Halldin, ... Journal of Nuclear Medicine 52 (supplement 1), 259-259, 2011 | 4 | 2011 |
| COMPET: High resolution high sensitivity MRI compatible pre-clinical PET scanner KE Hines, E Bolle, M Rissi, D Volgyes, O Dorholt, O Rřhne, S Stapnes, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2013 | 2 | 2013 |
| Timing calibration method for NanoPET™/CT system G Hesz, D Volgyes, B Benyo, T Bukki, P Major IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2010 | 2 | 2010 |
| CryoSat-2 waveform classification for melt event monitoring M Vermeer, D Völgyes, M McMillan, D Fantin Proceedings of the Northern Lights Deep Learning Workshop 3, 2022 | 1 | 2022 |
| Image quality in forensic CT imaging D Völgyes NTNU, 2018 | 1 | 2018 |
| Lidar-based Norwegian tree species detection using deep learning M Vermeer, JA Hay, D Völgyes, Z Koma, J Breidenbach, DSM Fantin arXiv preprint arXiv:2311.06066, 2023 | | 2023 |
| Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations A Vats, D Völgyes, M Vermeer, M Pedersen, K Raja, DSM Fantin, JA Hay arXiv preprint arXiv:2311.01188, 2023 | | 2023 |
| Semi-and weak-supervised learning for Norwegian tree species detection M Vermeer, D Völgyes, TK Sřrensen, H Miller, D Fantin Proceedings of the Northern Lights Deep Learning Workshop 4, 2023 | | 2023 |
| Our MapAI approach: focusing on data pipeline and loss functions TK Sřrensen, M Vermeer, JA Hay, D Fantin, D Völgyes Nordic Machine Intelligence 2 (3), 2022 | | 2022 |
| Image De-Quantization Using Plate Bending Model D Völgyes, ACT Martinsen, A Stray-Pedersen, D Waaler, M Pedersen Algorithms 11 (8), 110, 2018 | | 2018 |
Gábor HeszBudapest University of Technology and Economics, Department of Control Engineering and Information TechnologyVerified email at iit.bme.hu
