Search Results - "LAMARD, Mathieu"

Towards population-independent, multi-disease detection in fundus photographs.

Authors: Matta, Sarah Lamard, Mathieu Conze, Pierre-Henri et al.

Source: Scientific Reports. 7/17/2023, Vol. 13 Issue 1, p1-11. 11p.

Automation of dry eye disease quantitative assessment: A review.

Authors: Brahim, Ikram Lamard, Mathieu Benyoussef, Anas‐Alexis et al.

Source: Clinical & Experimental Ophthalmology. Aug2022, Vol. 50 Issue 6, p653-666. 14p.

Medical Case Retrieval From a Committee of Decision Trees.

Authors: Quellec, Gwénolé Lamard, Mathieu Bekri, Lynda

Source: IEEE Transactions on Information Technology in Biomedicine; September 2010, Vol. 14 Issue 5, p1227-1235, 9p

Adaptive Nonseparable Wavelet Transform via Lifting and its Application to Content-Based Image Retrieval.

Authors: Quellec, Gwénolé Lamard, Mathieu Cazuguel, Guy

Source: IEEE Transactions on Image Processing; January 2010, Vol. 19 Issue 1, p25-35, 11p

Real-time analysis of cataract surgery videos using statistical models.

Authors: Charrière, Katia Quellec, Gwénolé Lamard, Mathieu et al.

Source: Multimedia Tools & Applications; Nov2017, Vol. 76 Issue 21, p22473-22491, 19p

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.

Authors: Al Hajj, Hassan Lamard, Mathieu Conze, Pierre-Henri et al.

Source: Medical Image Analysis. Feb2019, Vol. 52, p24-41. 18p.

Subjects: Cataract surgery, Laparoscopic surgery, Surgical instruments, Deep learning, Surgeons

Unsupervised learning-based long-term superpixel tracking.

Authors: Conze, Pierre-Henri Tilquin, Florian Lamard, Mathieu et al.

Source: Image & Vision Computing; Sep2019, Vol. 89, p289-301, 13p

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.

Authors: Al Hajj, Hassan Lamard, Mathieu Conze, Pierre-Henri et al.

Source: Medical Image Analysis. Jul2018, Vol. 47, p203-218. 16p.

Subjects: Video recording in medicine, Recurrent neural networks, Decision support systems, Cholecystectomy, Digestive organ surgery

Multiple-Instance Learning for Anomaly Detection in Digital Mammography.

Authors: Quellec, Gwenole Lamard, Mathieu Cozic, Michel et al.

Source: IEEE Transactions on Medical Imaging. Jul2016, Vol. 35 Issue 7, p1604-1614. 11p.

Subjects: Mammograms, Breast cancer diagnosis, Breast cancer treatment, Cancer in women, Computer-assisted surgery, Image segmentation

Automatic detection of referral patients due to retinal pathologies through data mining.

Authors: Quellec, Gwenolé Lamard, Mathieu Erginay, Ali et al.

Source: Medical Image Analysis. Apr2016, Vol. 29, p47-64. 18p.

Subjects: Retinal disease diagnosis, Data mining, Retinal diseases, Automation, Diabetic retinopathy, Prevention

Anomaly classification in digital mammography based on multiple‐instance learning.

Authors: Elmoufidi, Abdelali El Fahssi, Khalid Jai‐andaloussi, Said et al.

Source: IET Image Processing (Wiley-Blackwell); Mar2018, Vol. 12 Issue 3, p320-328, 9p

Real-Time Task Recognition in Cataract Surgery Videos Using Adaptive Spatiotemporal Polynomials.

Authors: Quellec, Gwenole Lamard, Mathieu Cochener, Beatrice et al.

Source: IEEE Transactions on Medical Imaging. Apr2015, Vol. 34 Issue 4, p877-887. 11p.

Subjects: Cataract surgery, Ophthalmic surgery, Eye physiology, Fuzzy systems, Algorithms, Spatiotemporal processes

Real-Time Segmentation and Recognition of Surgical Tasks in Cataract Surgery Videos.

Authors: Quellec, Gwenole Lamard, Mathieu Cochener, Beatrice et al.

Source: IEEE Transactions on Medical Imaging. Dec2014, Vol. 33 Issue 12, p2352-2360. 9p.

Subjects: Cataract surgery, Image segmentation, Content-based image retrieval, Random fields, Hidden Markov models

Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval.

Authors: Quellec, Gwénolé Lamard, Mathieu Cazuguel, Guy et al.

Source: IEEE Transactions on Image Processing. Apr2012, Vol. 21 Issue 4, p1613-1623. 11p.

Subjects: Content-based image retrieval, Digital image processing, Wavelets (Mathematics), Performance evaluation, Distribution (Probability theory), Taylor's series, Human facial recognition software, Regression analysis

Case Retrieval in Medical Databases by Fusing Heterogeneous Information.

Authors: Quellec, Gwénolé Lamard, Mathieu Cazuguel, Guy et al.

Source: IEEE Transactions on Medical Imaging. 01/01/2011, Vol. 30 Issue 1, p108-118. 11p.

Subjects: Bayesian field theory, Diagnostic imaging, Diabetic retinopathy, Mammograms, Probability theory, Numerical solutions to equations, Wavelets (Mathematics)

Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs.

Authors: Quellec, Gwénolé Lamard, Mathieu Josselin, Pierre Marie et al.

Source: IEEE Transactions on Medical Imaging. Sep2008, Vol. 27 Issue 9, p1230-1241. 12p. 4 Black and White Photographs, 3 Diagrams, 6 Charts, 4 Graphs.

Subjects: Aneurysms, Vascular diseases, Retina, Retina abnormalities, Genetic algorithms

A multiple-instance learning framework for diabetic retinopathy screening

Authors: Quellec, Gwénolé Lamard, Mathieu Abràmoff, Michael D. et al.

Source: Medical Image Analysis. Aug2012, Vol. 16 Issue 6, p1228-1240. 13p.

Subjects: Diabetic retinopathy, Image processing, Diagnostic imaging, Ophthalmologists, Image segmentation, Biomedical engineering

DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis.

Authors: El Habib Daho, Mostafa Li, Yihao Zeghlache, Rachid et al.

Source: Artificial Intelligence in Medicine; Mar2024, Vol. 149, pN.PAG-N.PAG, 1p

A robust deep learning classifier for screening multiple retinal diseases on optical coherence tomography.

Authors: Zhang, Philippe Quellec, Gwenole Matta, Sarah et al.

Source: Scientific Reports. 10/9/2025, Vol. 15 Issue 1, p1-11. 11p.

Deep learning for retinal non-perfusion and foveal avascular zone analysis in wide-field OCTA in diabetic retinopathy.

Authors: Le Boité, Hugo Bonnin, Sophie Gallardo, Mathias et al.

Source: Scientific Reports. 8/18/2025, Vol. 15 Issue 1, p1-15. 15p.