| 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 | 562 | 2021 |
| Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge J Ma, Y Zhang, S Gu, X An, Z Wang, C Ge, C Wang, F Zhang, Y Wang, ... Medical Image Analysis 82, 102616, 2022 | 130 | 2022 |
| 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 | 122 | 2019 |
| Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks PH Conze, AE Kavur, E Cornec-Le Gall, NS Gezer, Y Le Meur, MA Selver, ... Artificial Intelligence in Medicine 117, 102109, 2021 | 114 | 2021 |
| 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 | 100 | 2018 |
| 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 | 89 | 2020 |
| Objective view synthesis quality assessment PH Conze, P Robert, L Morin Stereoscopic Displays and Applications XXIII 8288, 557-570, 2012 | 87 | 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, 223-233, 2017 | 69 | 2017 |
| ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis G Quellec, H Al Hajj, M Lamard, PH Conze, P Massin, B Cochener Medical Image Analysis 72, 102118, 2021 | 56 | 2021 |
| 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 | 55 | 2020 |
| Current and emerging trends in medical image segmentation with deep learning PH Conze, G Andrade-Miranda, VK Singh, V Jaouen, D Visvikis IEEE Transactions on Radiation and Plasma Medical Sciences 7 (6), 545-569, 2023 | 48 | 2023 |
| Towards improved breast mass detection using dual-view mammogram matching Y Yan, PH Conze, M Lamard, G Quellec, B Cochener, G Coatrieux Medical image analysis 71, 102083, 2021 | 35 | 2021 |
| 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 | 32 | 2019 |
| Multimodal information fusion for glaucoma and diabetic retinopathy classification Y Li, M El Habib Daho, PH Conze, H Al Hajj, S Bonnin, H Ren, ... International Workshop on Ophthalmic Medical Image Analysis, 53-62, 2022 | 28 | 2022 |
| 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), 061605-061605, 2017 | 24 | 2017 |
| Efficient embedding network for 3D brain tumor segmentation H Messaoudi, A Belaid, ML Allaoui, A Zetout, MS Allili, S Tliba, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 23 | 2021 |
| Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization K Souadih, A Belaid, DB Salem, PH Conze Medical & Biological Engineering & Computing, 2019 | 22 | 2019 |
| Cross-dimensional transfer learning in medical image segmentation with deep learning H Messaoudi, A Belaid, DB Salem, PH Conze Medical image analysis 88, 102868, 2023 | 21 | 2023 |
| 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 | 20 | 2019 |
| Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network A Boutillon, B Borotikar, V Burdin, PH Conze Artificial Intelligence in Medicine 132, 102364, 2022 | 19 | 2022 |
Gwenolé QuellecResearch director, InsermVerified email at inserm.fr
