Rosette tracker: an open source image analysis tool for automatic quantification of genotype effects J De Vylder, F Vandenbussche, Y Hu, W Philips, D Van Der Straeten Plant physiology 160 (3), 1149-1159, 2012 | 165 | 2012 |
Brain blood vessel segmentation using line-shaped profiles D Babin, A Pižurica, J De Vylder, E Vansteenkiste, W Philips Physics in Medicine & Biology 58 (22), 8041, 2013 | 45 | 2013 |
MATE: Machine learning for adaptive calibration template detection S Donné, J De Vylder, B Goossens, W Philips Sensors 16 (11), 1858, 2016 | 44 | 2016 |
Leaf segmentation and tracking using probabilistic parametric active contours J De Vylder, D Ochoa, W Philips, L Chaerle, D Van Der Straeten Computer Vision/Computer Graphics Collaboration Techniques: 5th …, 2011 | 39 | 2011 |
Quasar—A new heterogeneous programming framework for image and video processing algorithms on CPU and GPU B Goossens, J De Vylder, W Philips 2014 IEEE International Conference on Image Processing (ICIP), 2183-2185, 2014 | 22 | 2014 |
2D mapping of strongly deformable cell nuclei‐based on contour matching J De Vylder, WH De Vos, EM Manders, W Philips Cytometry Part A 79 (7), 580-588, 2011 | 22 | 2011 |
Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks P Van Molle, T Verbelen, B Vankeirsbilck, J De Vylder, B Diricx, T Kimpe, ... Neural Computing and Applications 33, 10259-10275, 2021 | 21 | 2021 |
Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization J Roels, J Aelterman, J De Vylder, H Luong, Y Saeys, W Philips 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 19 | 2016 |
Quantifying uncertainty of deep neural networks in skin lesion classification P Van Molle, T Verbelen, C De Boom, B Vankeirsbilck, J De Vylder, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019 | 15 | 2019 |
Accurate detection of dysmorphic nuclei using dynamic programming and supervised classification M Verschuuren, J De Vylder, H Catrysse, J Robijns, W Philips, ... PLoS One 12 (1), e0170688, 2017 | 14 | 2017 |
Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy J Roels, J De Vylder, J Aelterman, Y Saeys, W Philips 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 13 | 2017 |
Noise analysis and removal in 3D electron microscopy J Roels, J Aelterman, J De Vylder, H Luong, Y Saeys, S Lippens, ... Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014 | 12 | 2014 |
Leaf segmentation and parallel phenotyping for the analysis of gene networks in plants O Janssens, J De Vylder, J Aelterman, S Verstockt, W Philips, ... 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 12 | 2013 |
Computationally efficient locally adaptive demosaicing of color filter array images using the dual-tree complex wavelet packet transform J Aelterman, B Goossens, J De Vylder, A Pižurica, W Philips PloS one 8 (5), e61846, 2013 | 12 | 2013 |
A non-rigid registration method for multispectral imaging of plants J De Vylder, K Douterloigne, F Vandenbussche, D Van Der Straeten, ... Sensing for Agriculture and Food Quality and Safety IV 8369, 36-43, 2012 | 9 | 2012 |
A computational efficient external energy for active contour segmentation using edge propagation J De Vylder, W Philips 2010 IEEE International Conference on Image Processing, 661-664, 2010 | 8 | 2010 |
Decreasing time consumption of microscopy image segmentation through parallel processing on the GPU J Roels, J De Vylder, Y Saeys, B Goossens, W Philips Advanced Concepts for Intelligent Vision Systems: 17th International …, 2016 | 7 | 2016 |
Combined non-local and multi-resolution sparsity prior in image restoration J Aelterman, B Goossens, H Luong, J De Vylder, A Pizurica, W Philips 2012 19th IEEE International Conference on Image Processing, 3049-3052, 2012 | 7 | 2012 |
Tracking multiple objects using moving snakes J De Vylder, D Ochoa, W Philips, L Chaerle, D Van Der Straeten 2009 16th International Conference on Digital Signal Processing, 1-6, 2009 | 7 | 2009 |
Data-efficient sensor upgrade path using knowledge distillation P Van Molle, C De Boom, T Verbelen, B Vankeirsbilck, J De Vylder, ... Sensors 21 (19), 6523, 2021 | 6 | 2021 |