| Objective view synthesis quality assessment PH Conze, P Robert, L Morin Stereoscopic Displays and Applications XXIII 8288, 82881M, 2012 | 65 | 2012 |
| Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans PH Conze, V Noblet, F Rousseau, F Heitz, V de Blasi, R Memeo, ... International journal of computer assisted radiology and surgery 12 (2), 223-233, 2017 | 40 | 2017 |
| Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks H Al Hajj, M Lamard, PH Conze, B Cochener, G Quellec Medical image analysis 47, 203-218, 2018 | 36 | 2018 |
| CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ... Medical image analysis 52, 24-41, 2019 | 28 | 2019 |
| CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation AE Kavur, NS Gezer, M Barış, S Aslan, PH Conze, V Groza, DD Pham, ... Medical Image Analysis 69, 101950, 2021 | 26 | 2021 |
| Robust optical flow integration T Crivelli, M Fradet, PH Conze, P Robert, P Pérez IEEE Transactions on Image Processing 24 (1), 484-498, 2014 | 14 | 2014 |
| Automatic detection of rare pathologies in fundus photographs using few-shot learning G Quellec, M Lamard, PH Conze, P Massin, B Cochener Medical image analysis 61, 101660, 2020 | 12 | 2020 |
| Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration PH Conze, F Tilquin, V Noblet, F Rousseau, F Heitz, P Pessaux 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 12 | 2017 |
| From optical flow to dense long term correspondences T Crivelli, PH Conze, P Robert, P Pérez 2012 19th IEEE International Conference on Image Processing, 61-64, 2012 | 12 | 2012 |
| Adaptive strategy for superpixel-based region-growing image segmentation MS Chaibou, PH Conze, K Kalti, B Solaiman, MA Mahjoub Journal of Electronic Imaging 26 (6), 061605, 2017 | 10 | 2017 |
| Semi-automatic liver tumor segmentation in dynamic contrast-enhanced CT scans using random forests and supervoxels PH Conze, F Rousseau, V Noblet, F Heitz, R Memeo, P Pessaux International Workshop on Machine Learning in Medical Imaging, 212-219, 2015 | 10 | 2015 |
| Multi-step flow fusion: Towards accurate and dense correspondences in long video shots T Crivelli, PH Conze, P Robert, M Fradet, P Pérez British Machine Vision Conference, 2012 | 10 | 2012 |
| Disparity-compensated view synthesis for s3D content correction P Robert, C Thébault, PH Conze Stereoscopic Displays and Applications XXIII 8288, 82882F, 2012 | 10 | 2012 |
| Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks PH Conze, AE Kavur, ECL Gall, NS Gezer, YL Meur, MA Selver, ... arXiv preprint arXiv:2001.09521, 2020 | 9 | 2020 |
| Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans PH Conze, V Noblet, F Rousseau, F Heitz, R Memeo, P Pessaux 2016 IEEE 13th International symposium on biomedical imaging (ISBI), 416-419, 2016 | 9 | 2016 |
| Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders PH Conze, S Brochard, V Burdin, FT Sheehan, C Pons Computerized Medical Imaging and Graphics 83, 101733, 2020 | 7 | 2020 |
| Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms Y Yan, PH Conze, E Decencière, M Lamard, G Quellec, B Cochener, ... IEEE International Engineering in Medicine and Biology Conference, 6738-6741, 2019 | 5 | 2019 |
| Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability PH Conze, C Pons, V Burdin, FT Sheehan, S Brochard IEEE International Symposium on Biomedical Imaging, 36-39, 2019 | 5 | 2019 |
| Combining shape priors with conditional adversarial networks for improved scapula segmentation in MR images A Boutillon, B Borotikar, V Burdin, PH Conze arXiv preprint arXiv:1910.08963, 2019 | 4 | 2019 |
| Dense motion estimation between distant frames: combinatorial multi-step integration and statistical selection PH Conze, T Crivelli, P Robert, L Morin 2013 IEEE International Conference on Image Processing, 3860-3864, 2013 | 4 | 2013 |
Gwenolé QuellecResearch associate, InsermAdresse e-mail validée de inserm.fr
