| A multi-centre polyp detection and segmentation dataset for generalisability assessment S Ali, D Jha, N Ghatwary, S Realdon, R Cannizzaro, OE Salem, ... Scientific Data 10 (1), 75, 2023 | 197 | 2023 |
| 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 | 191 | 2021 |
| An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy S Ali, F Zhou, B Braden, A Bailey, S Yang, G Cheng, P Zhang, X Li, ... Scientific reports 10 (1), 2748, 2020 | 153 | 2020 |
| Mosaicing of bladder endoscopic image sequences: Distortion calibration and registration algorithm R Miranda-Luna, C Daul, WCPM Blondel, Y Hernandez-Mier, D Wolf, ... IEEE Transactions on Biomedical Engineering 55 (2), 541-553, 2008 | 130 | 2008 |
| Endoscopy artifact detection (EAD 2019) challenge dataset S Ali, F Zhou, C Daul, B Braden, A Bailey, S Realdon, J East, ... arXiv preprint arXiv:1905.03209, 2019 | 104 | 2019 |
| Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat, C Yang, W Li, A Galdran, ... Scientific Reports 14 (1), 2032, 2024 | 95 | 2024 |
| Fast construction of panoramic images for cystoscopic exploration Y Hernandez-Mier, W Blondel, C Daul, D Wolf, F Guillemin Computerized Medical Imaging and Graphics 34 (7), 579-592, 2010 | 75 | 2010 |
| Texture-based analysis of clustered microcalcifications detected on mammograms A Tiedeu, C Daul, A Kentsop, P Graebling, D Wolf Digital Signal Processing, 2012 | 59 | 2012 |
| Flexible calibration of structured-light systems projecting point patterns A Ben-Hamadou, C Soussen, C Daul, W Blondel, D Wolf Computer Vision and Image Understanding 117 (10), 1468-1481, 2013 | 57 | 2013 |
| Graph based construction of textured large field of view mosaics for bladder cancer diagnosis T Weibel, C Daul, D Wolf, R Rösch, F Guillemin Pattern Recognition 45 (12), 4138-4150, 2012 | 56 | 2012 |
| Assessing deep learning methods for the identification of kidney stones in endoscopic images F Lopez, A Varelo, O Hinojosa, M Mendez, DH Trinh, Y ElBeze, J Hubert, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 55 | 2021 |
| On the in vivo recognition of kidney stones using machine learning F Lopez-Tiro, V Estrade, J Hubert, D Flores-Araiza, M Gonzalez-Mendoza, ... IEEE Access 12, 10736-10759, 2024 | 53* | 2024 |
| Evaluation and understanding of automated urinary stone recognition methods J El Beze, C Mazeaud, C Daul, G Ochoa‐Ruiz, M Daudon, P Eschwège, ... BJU international 130 (6), 786-798, 2022 | 44 | 2022 |
| Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning A Martínez, DH Trinh, J El Beze, J Hubert, P Eschwege, V Estrade, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 44 | 2020 |
| Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces TB Phan, DH Trinh, D Wolf, C Daul Pattern Recognition 105, 107391, 2020 | 43 | 2020 |
| Illumination invariant optical flow using neighborhood descriptors S Ali, C Daul, E Galbrun, W Blondel Computer Vision and Image Understanding, 2016 | 39 | 2016 |
| Endoscopy disease detection challenge 2020 S Ali, N Ghatwary, B Braden, D Lamarque, A Bailey, S Realdon, ... arXiv preprint arXiv:2003.03376, 2020 | 36 | 2020 |
| From the hough transform to a new approach for the detection and approximation of elliptical arcs C Daul, P Graebling, E Hirsch Computer Vision and Image Understanding 72 (3), 215-236, 1998 | 33 | 1998 |
| A simplified method of endoscopic image distortion correction based on grey level registration R Miranda-Luna, W Blondel, C Daul, Y Hernandez-Mier, R Posada, ... 2004 International Conference on Image Processing, 2004. ICIP'04. 5, 3383-3386, 2004 | 32 | 2004 |
| On illumination-invariant variational optical flow for weakly textured scenes DH Trinh, C Daul Computer Vision and Image Understanding 179, 1-18, 2019 | 27 | 2019 |
Walter BlondelProfesseur des Universités, Université de LorraineVerified email at univ-lorraine.fr
