| Gland segmentation in colon histology images: The glas challenge contest K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ... Medical image analysis 35, 489-502, 2017 | 824 | 2017 |
| Assessment of algorithms for mitosis detection in breast cancer histopathology images M Veta, PJ Van Diest, SM Willems, H Wang, A Madabhushi, A Cruz-Roa, ... Medical image analysis 20 (1), 237-248, 2015 | 516 | 2015 |
| Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge J Bernal, N Tajkbaksh, FJ Sanchez, BJ Matuszewski, H Chen, L Yu, ... IEEE transactions on medical imaging 36 (6), 1231-1249, 2017 | 405 | 2017 |
| Medical image segmentation using new hybrid level-set method Y Zhang, BJ Matuszewski, LK Shark, CJ Moore 2008 fifth international conference biomedical visualization: information …, 2008 | 287 | 2008 |
| Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography HA Kirişli, M Schaap, CT Metz, AS Dharampal, WB Meijboom, ... Medical image analysis 17 (8), 859-876, 2013 | 247 | 2013 |
| Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical image analysis 70, 102002, 2021 | 125 | 2021 |
| Inter-patient ECG classification with convolutional and recurrent neural networks L Guo, G Sim, B Matuszewski Biocybernetics and Biomedical Engineering 39 (3), 868-879, 2019 | 116 | 2019 |
| FCN-Transformer Feature Fusion for Polyp Segmentation E Sanderson, BJ Matuszewski Annual Conference on Medical Image Understanding and Analysis, 892–907, 2022 | 108 | 2022 |
| Wize Mirror-a smart, multisensory cardio-metabolic risk monitoring system Y Andreu, F Chiarugi, S Colantonio, G Giannakakis, D Giorgi, ... Computer Vision and Image Understanding 148, 3-22, 2016 | 105 | 2016 |
| Giana polyp segmentation with fully convolutional dilation neural networks YB Guo, B Matuszewski Proceedings of the 14th international joint conference on computer vision …, 2019 | 74 | 2019 |
| Polyp segmentation with fully convolutional deep neural networks—extended evaluation study Y Guo, J Bernal, B J. Matuszewski Journal of Imaging 6 (7), 69, 2020 | 56 | 2020 |
| Hi4D-ADSIP 3-D dynamic facial articulation database BJ Matuszewski, W Quan, LK Shark, AS McLoughlin, CE Lightbody, ... Image and Vision Computing 30 (10), 713-727, 2012 | 56 | 2012 |
| A novel medical image segmentation method using dynamic programming Y Zhang, BJ Matuszewski, LK Shark, CJ Moore International Conference on Medical Information Visualisation-BioMedical …, 2007 | 49 | 2007 |
| Mirror mirror on the wall... an unobtrusive intelligent multisensory mirror for well-being status self-assessment and visualization P Henriquez, BJ Matuszewski, Y Andreu-Cabedo, L Bastiani, ... IEEE transactions on multimedia 19 (7), 1467-1481, 2017 | 48 | 2017 |
| Reduction of motion artefacts in on-board cone beam CT by warping of projection images TE Marchant, GJ Price, BJ Matuszewski, CJ Moore The British journal of radiology 84 (999), 251-264, 2011 | 47 | 2011 |
| Region-based wavelet fusion of ultrasonic, radiographic and shearographyc non-destructive testing images B Matuszewski, LK Shark, M Varley, JP Smith Proceedings of the 15th World Conference on Non-Destructive Testing, 15-21, 2000 | 44 | 2000 |
| An efficient feature based matching algorithm for stereo images B Tang, D Ait-Boudaoud, BJ Matuszewski, L Shark Geometric Modeling and Imaging--New Trends (GMAI'06), 195-202, 2006 | 38 | 2006 |
| Face morphology: Can it tell us something about body weight and fat? MA Pascali, D Giorgi, L Bastiani, E Buzzigoli, P Henríquez, ... Computers in biology and medicine 76, 238-249, 2016 | 33 | 2016 |
| Online eye status detection in the wild with convolutional neural networks ER Anas, P Henriquez, BJ Matuszewski International conference on computer vision theory and applications 7, 88-95, 2017 | 29 | 2017 |
| Choice of similarity measure, likelihood function and parameters for histogram based particle filter tracking in CCTV grey scale video P Dunne, B Matuszewski Image and Vision Computing 29 (2-3), 178-189, 2011 | 29 | 2011 |
Aymeric HistaceProfesseur des Universités, Head of Research, Innovation at ENSEA, ETIS labAdresse e-mail validée de ensea.fr
