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Gwenolé Quellec
Person information
- affiliation: Inserm, Brest, France
- affiliation: University of West Brittany, France
- affiliation: University of Bern, Switzerland
- affiliation: University of Iowa, Iowa City, IA, USA
- affiliation (PhD 2008): TELECOM Bretagne, Brest, France
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2020 – today
- 2025
- [j34]Samiksha Pachade
, Prasanna Porwal
RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. Medical Image Anal. 99: 103365 (2025) - 2024
- [j33]Mostafa El Habib Daho
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis. Artif. Intell. Medicine 149: 102803 (2024) - [j32]Yihao Li, Mostafa El Habib Daho
A review of deep learning-based information fusion techniques for multimodal medical image classification. Comput. Biol. Medicine 177: 108635 (2024) - [j31]Sarah Matta
A systematic review of generalization research in medical image classification. Comput. Biol. Medicine 183: 109256 (2024) - [c44]Philippe Zhang, Yihao Li, Jing Zhang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
Detection and Classification of Glaucoma in the Justraigs Challenge: Achievements in Binary and Multilabel Classification. ISBI 2024: 1-4 - [c43]Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Alireza Rezaei, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. MICCAI (5) 2024: 404-414 - [i29]Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. CoRR abs/2401.03615 (2024) - [i28]Mostafa El Habib Daho
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis. CoRR abs/2401.05137 (2024) - [i27]Sarah Matta, Mathieu Lamard, Philippe Zhang, Alexandre Le Guilcher, Laurent Borderie, Béatrice Cochener, Gwenolé Quellec
Generalizing deep learning models for medical image classification. CoRR abs/2403.12167 (2024) - [i26]Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Alireza Rezaei, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. CoRR abs/2403.16272 (2024) - [i25]Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Alireza Rezaei, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression. CoRR abs/2404.07091 (2024) - [i24]Yihao Li, Mostafa El Habib Daho
A review of deep learning-based information fusion techniques for multimodal medical image classification. CoRR abs/2404.15022 (2024) - [i23]Philippe Zhang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging. CoRR abs/2409.12854 (2024) - 2023
- [c42]Sarah Matta
Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening Network. EMBC 2023: 1-4 - [c41]Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. MMAC@MICCAI 2023: 1-17 - [c40]Rachid Zeghlache
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. PRIME@MICCAI 2023: 1-13 - [c39]Mostafa El Habib Daho
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. OMIA@MICCAI 2023: 11-20 - [c38]Rachid Zeghlache
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. MLMI@MICCAI (2) 2023: 22-32 - [i22]Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Pierre Deman, Laurent Borderie, Capucine Lepicard, Ramin Tadayoni, Béatrice Cochener, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec:
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. CoRR abs/2310.01912 (2023) - [i21]Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. CoRR abs/2310.10420 (2023) - [i20]Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. CoRR abs/2310.10431 (2023) - 2022
- [j30]Huihui Fang
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41(10): 2828-2847 (2022) - [c37]Rachid Zeghlache
Detection of Diabetic Retinopathy Using Longitudinal. OMIA@MICCAI 2022: 43-52 - [c36]Yihao Li, Mostafa El Habib Daho
Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification. OMIA@MICCAI 2022: 53-62 - [c35]Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec
Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading. OMIA@MICCAI 2022: 63-72 - [c34]Yihao Li, Rachid Zeghlache
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. MIDOG/DRAC@MICCAI 2022: 146-160 - [c33]Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images. HECKTOR@MICCAI 2022: 154-165 - [i19]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR abs/2202.07983 (2022) - [i18]Mounia Hamidouche, Reda Bellafqira, Gwenolé Quellec
White-box Membership Attack Against Machine Learning Based Retinopathy Classification. CoRR abs/2206.03584 (2022) - [i17]Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec:
Mapping the ocular surface from monocular videos with an application to dry eye disease grading. CoRR abs/2209.00886 (2022) - [i16]Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho
Detection of diabetic retinopathy using longitudinal self-supervised learning. CoRR abs/2209.00915 (2022) - [i15]Yihao Li, Mostafa El Habib Daho
Multimodal Information Fusion for Glaucoma and DR Classification. CoRR abs/2209.00979 (2022) - [i14]Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt:
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images. CoRR abs/2211.10138 (2022) - [i13]Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. CoRR abs/2211.11509 (2022) - 2021
- [j29]Samiksha Pachade
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research. Data 6(2): 14 (2021) - [j28]Maria Grammatikopoulou, Evangello Flouty, Abdolrahim Kadkhodamohammadi, Gwenolé Quellec
CaDIS: Cataract dataset for surgical RGB-image segmentation. Medical Image Anal. 71: 102053 (2021) - [j27]Yutong Yan
Towards improved breast mass detection using dual-view mammogram matching. Medical Image Anal. 71: 102083 (2021) - [j26]Gwenolé Quellec
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. Medical Image Anal. 72: 102118 (2021) - [c32]Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec
Two-Stage Multi-Scale Mass Segmentation From Full Mammograms. ISBI 2021: 1628-1631 - [c31]Yutong Yan
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. OMIA@MICCAI 2021: 11-20 - [c30]Yutong Yan
Deep Active Learning for Dual-View Mammogram Analysis. MLMI@MICCAI 2021: 180-189 - [d2]Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec:
CATARACTS. IEEE DataPort, 2021 - [d1]Samiksha Pachade
Retinal Fundus Multi-disease Image Dataset (RFMiD). IEEE DataPort, 2021 - 2020
- [j25]Gwenolé Quellec
Automatic detection of rare pathologies in fundus photographs using few-shot learning. Medical Image Anal. 61: 101660 (2020) - [c29]Yutong Yan
Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching. MLMI@MICCAI 2020: 312-321 - [i12]Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux:
Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis. CoRR abs/2002.12079 (2020) - [i11]Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis. CoRR abs/2008.05731 (2020)
2010 – 2019
- 2019
- [j24]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec
Unsupervised learning-based long-term superpixel tracking. Image Vis. Comput. 89: 289-301 (2019) - [j23]Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Anal. 52: 24-41 (2019) - [c28]Yutong Yan, Pierre-Henri Conze, Etienne Decencière
Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. EMBC 2019: 6738-6741 - [i10]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Unsupervised learning-based long-term superpixel tracking. CoRR abs/1902.09596 (2019) - [i9]Evangello Flouty, Abdolrahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado
CaDIS: Cataract Dataset for Image Segmentation. CoRR abs/1906.11586 (2019) - [i8]Gwenolé Quellec, Mathieu Lamard, Bruno Laÿ, Alexandre Le Guilcher, Ali Erginay, Béatrice Cochener, Pascale Massin:
Instant automatic diagnosis of diabetic retinopathy. CoRR abs/1906.11875 (2019) - [i7]Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
Automatic detection of multiple pathologies in fundus photographs using spin-off learning. CoRR abs/1907.09449 (2019) - 2018
- [j22]Abdelali Elmoufidi
Anomaly classification in digital mammography based on multiple-instance learning. IET Image Process. 12(3): 320-328 (2018) - [j21]Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks. Medical Image Anal. 47: 203-218 (2018) - [c27]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz
Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP 2018: 1-6 - [c26]A. Guerre, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec
Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data. ISBI 2018: 1463-1466 - [c25]Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI 2018: 39-47 - 2017
- [j20]Gwenolé Quellec
Deep image mining for diabetic retinopathy screening. Medical Image Anal. 39: 178-193 (2017) - [j19]Katia Charrière, Gwenolé Quellec
Real-time analysis of cataract surgery videos using statistical models. Multim. Tools Appl. 76(21): 22473-22491 (2017) - [c24]Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenolé Quellec
Proxy Re-Encryption Based on Homomorphic Encryption. ACSAC 2017: 154-161 - [c23]Hassan Al Hajj, Mathieu Lamard, Katia Charrière, Béatrice Cochener, Gwenolé Quellec
Surgical tool detection in cataract surgery videos through multi-image fusion inside a convolutional neural network. EMBC 2017: 2002-2005 - [c22]Hassan Al Hajj, Mathieu Lamard, Béatrice Cochener, Gwenolé Quellec
Smart data augmentation for surgical tool detection on the surgical tray. EMBC 2017: 4407-4410 - [i6]Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenolé Quellec, Michel Cozic:
Secured Outsourced Content Based Image Retrieval Based on Encrypted Signatures Extracted From Homomorphically Encrypted Images. CoRR abs/1704.00457 (2017) - [i5]Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenolé Quellec, Michel Cozic:
Sharing Data Homomorphically Encrypted with Different Encryption Keys. CoRR abs/1706.01756 (2017) - [i4]Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec:
Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks. CoRR abs/1710.01559 (2017) - 2016
- [j18]Gwenolé Quellec
Automatic detection of referral patients due to retinal pathologies through data mining. Medical Image Anal. 29: 47-64 (2016) - [j17]Gwenolé Quellec
Multiple-Instance Learning for Anomaly Detection in Digital Mammography. IEEE Trans. Medical Imaging 35(7): 1604-1614 (2016) - [c21]Katia Charrière, Gwenolé Quellec, Mathieu Lamard, David Martiano, Guy Cazuguel, Gouenou Coatrieux, Béatrice Cochener:
Real-time multilevel sequencing of cataract surgery videos. CBMI 2016: 1-6 - [c20]Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenolé Quellec
An end to end secure CBIR over encrypted medical database. EMBC 2016: 2537-2540 - [c19]Gwenolé Quellec
Mapping the retinas of a patient using a mixed set of fundus photographs from both eyes. EMBC 2016: 3239-3242 - [c18]Abdelali Elmoufidi
Automatic Detection of Suspicious Lesions in Digital X-ray Mammograms. UNet 2016: 375-385 - [i3]Hassan Al Hajj, Gwenolé Quellec, Mathieu Lamard, Guy Cazuguel, Béatrice Cochener:
Coarse-to-fine Surgical Instrument Detection for Cataract Surgery Monitoring. CoRR abs/1609.05619 (2016) - [i2]Katia Charrière, Gwenolé Quellec, Mathieu Lamard, David Martiano, Guy Cazuguel, Gouenou Coatrieux, Béatrice Cochener:
Real-time analysis of cataract surgery videos using statistical models. CoRR abs/1610.05465 (2016) - [i1]Gwenolé Quellec, Katia Charrière, Yassine Boudi, Béatrice Cochener, Mathieu Lamard:
Deep image mining for diabetic retinopathy screening. CoRR abs/1610.07086 (2016) - 2015
- [j16]Gwenolé Quellec
Real-Time Task Recognition in Cataract Surgery Videos Using Adaptive Spatiotemporal Polynomials. IEEE Trans. Medical Imaging 34(4): 877-887 (2015) - [c17]Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenolé Quellec
Content-based image retrieval in homomorphic encryption domain. EMBC 2015: 2944-2947 - [c16]Ruben Sanchez de la Rosa, Mathieu Lamard, Guy Cazuguel, Gouenou Coatrieux, Michel Cozic, Gwenolé Quellec
Multiple-instance learning for breast cancer detection in mammograms. EMBC 2015: 7055-7058 - [p1]Gwenolé Quellec
Multimedia Information Retrieval from Ophthalmic Digital Archives. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 95-114 - 2014
- [j15]Gwenolé Quellec
Real-time recognition of surgical tasks in eye surgery videos. Medical Image Anal. 18(3): 579-590 (2014) - [j14]Xiwei Zhang, Guillaume Thibault, Etienne Decencière
Exudate detection in color retinal images for mass screening of diabetic retinopathy. Medical Image Anal. 18(7): 1026-1043 (2014) - [j13]Gwenolé Quellec
Real-Time Segmentation and Recognition of Surgical Tasks in Cataract Surgery Videos. IEEE Trans. Medical Imaging 33(12): 2352-2360 (2014) - [c15]Gwenolé Quellec
Normalizing videos of anterior eye segment surgeries. EMBC 2014: 122-125 - [c14]Gwenolé Quellec
Estimating maximal measurable performance for automated decision systems from the characteristics of the reference standard. application to diabetic retinopathy screening. EMBC 2014: 154-157 - [c13]Katia Charrière, Gwenolé Quellec
Automated surgical step recognition in normalized cataract surgery videos. EMBC 2014: 4647-4650 - 2013
- [c12]Said Jai-Andaloussi
Mass segmentation in mammograms by using Bidimensional Emperical Mode Decomposition BEMD. EMBC 2013: 5441-5444 - [c11]Gwenolé Quellec
Multimedia data mining for automatic diabetic retinopathy screening. EMBC 2013: 7144-7147 - 2012
- [j12]Gwenolé Quellec
A multiple-instance learning framework for diabetic retinopathy screening. Medical Image Anal. 16(6): 1228-1240 (2012) - [j11]Gwenolé Quellec
Recherche en temps réel de séquences vidéo similaires par le contenu. Traitement du Signal 29(1-2): 83-100 (2012) - [j10]Gwenolé Quellec
Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval. IEEE Trans. Image Process. 21(4): 1613-1623 (2012) - [j9]Simon David, Dimitris Visvikis
Image Change Detection Using Paradoxical Theory for Patient Follow-Up Quantitation and Therapy Assessment. IEEE Trans. Medical Imaging 31(9): 1743-1753 (2012) - [c10]Gwenolé Quellec
Comprehensive wavelet-based image characterization for Content-Based Image Retrieval. CBMI 2012: 1-6 - [c9]Gwenolé Quellec
A general framework for detecting diabetic retinopathy lesions in eye fundus images. CBMS 2012: 1-6 - [c8]Zakarya Droueche, Mathieu Lamard, Guy Cazuguel, Gwenolé Quellec
Motion-based video retrieval with application to computer-assisted retinal surgery. EMBC 2012: 4962-4965 - [c7]Gwenolé Quellec
Studying disagreements among retinal experts through image analysis. EMBC 2012: 5959-5962 - [c6]Gwenolé Quellec
Weakly supervised classification of medical images. ISBI 2012: 110-113 - [c5]Gwenolé Quellec
A Polynomial Model of Surgical Gestures for Real-Time Retrieval of Surgery Videos. MCBR-CDS 2012: 10-20 - 2011
- [j8]Gwenolé Quellec
Case Retrieval in Medical Databases by Fusing Heterogeneous Information. IEEE Trans. Medical Imaging 30(1): 108-118 (2011) - [j7]Gwenolé Quellec
Optimal Filter Framework for Automated, Instantaneous Detection of Lesions in Retinal Images. IEEE Trans. Medical Imaging 30(2): 523-533 (2011) - [c4]Gwenolé Quellec
Real-time retrieval of similar videos with application to computer-aided retinal surgery. EMBC 2011: 4465-4468 - 2010
- [j6]Gwenolé Quellec
Wavelet optimization for content-based image retrieval in medical databases. Medical Image Anal. 14(2): 227-241 (2010) - [j5]Gwenolé Quellec
Adaptive Nonseparable Wavelet Transform via Lifting and its Application to Content-Based Image Retrieval. IEEE Trans. Image Process. 19(1): 25-35 (2010) - [j4]Gwenolé Quellec
Medical case retrieval from a committee of decision trees. IEEE Trans. Inf. Technol. Biomed. 14(5): 1227-1235 (2010) - [j3]Meindert Niemeijer, Bram van Ginneken
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs. IEEE Trans. Medical Imaging 29(1): 185-195 (2010) - [j2]Gwenolé Quellec
Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula. IEEE Trans. Medical Imaging 29(6): 1321-1330 (2010) - [c3]Gwenolé Quellec
Use of a twin dataset to identify AMD-related visual patterns controlled by genetic factors. Medical Imaging: Computer-Aided Diagnosis 2010: 76240K
2000 – 2009
- 2008
- [j1]Gwenolé Quellec
Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs. IEEE Trans. Medical Imaging 27(9): 1230-1241 (2008) - [c2]Gwenolé Quellec
Multimodal medical case retrieval using Bayesian networks and the Dezert-Smarandache theory. ISBI 2008: 245-248 - 2006
- [c1]Gwenolé Quellec
Detection of lesions in retina photographs based on the wavelet transform. EMBC 2006: 2618-2621
Coauthor Index
[j33] [j32] [j31] [c43] [i28] [i27] [i26] [i25] [i24] [c42] [c40] [c39] [c38] [i22] [i21] [i20] [c37] [c36] [c35] [i17] [i16] [i15] [j27] [j26] [c32] [c31] [c30] [d2] [j25] [c29] [i12] [i11] [c28] [i8] [i7] [j21] [c26] [j20] [j19] [c23] [c22] [i4] [j18] [c21] [c19] [i3] [i2] [i1] [j16] [p1] [j15] [j13] [c15] [c13] [c11] [j12] [j11] [j10] [c10] [c9] [c8] [c7] [c6] [c5] [j8] [c4] [j6] [j5] [j4] [j3] [j1] [c2] [c1]
[j33] [j32] [j31] [c44] [c43] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [c42] [c41] [c40] [c39] [c38] [i22] [i21] [i20] [c37] [c36] [c35] [c34] [i17] [i16] [i15] [i13] [j27] [j26] [c32] [c31] [c30] [d2] [j25] [c29] [i12] [i11] [j24] [j23] [c28] [i10] [i8] [i7] [j22] [j21] [c27] [c26] [c25] [j20] [j19] [c23] [c22] [i4] [j18] [j17] [c21] [c19] [c18] [i3] [i2] [i1] [j16] [c16] [p1] [j15] [j14] [j13] [c15] [c13] [c12] [c11] [j12] [j11] [j10] [c10] [c9] [c8] [c7] [c5] [j8] [c4] [j6] [j5] [j4] [j3] [j1] [c2] [c1]
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