Dominique Lamarque

According to our database, Dominique Lamarque authored at least 16 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction.

Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul

CoRR, 2023

Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging.

Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams.

Pedro Esteban Chavarrias-Solano, Carlos Axel Garcia-Vega, Francisco Javier Lopez-Tiro, Gilberto Ochoa-Ruiz, Thomas Bazin, Dominique Lamarque, Christian Daul

CoRR, 2022

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East

CoRR, 2022

Optical biopsy mapping on endoscopic image mosaics with a marker-free probe.

Omar Zenteno, Dinh Hoan Trinh, Sylvie Treuillet, Yves Lucas, Thomas Bazin, Dominique Lamarque, Christian Daul

Comput. Biol. Medicine, 2022

A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models.

Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Falcón-Morales, Dominique Lamarque, Christian Daul

Proceedings of the Advances in Computational Intelligence, 2022

2021

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.

Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher

Medical Image Anal., 2021

PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment.

Sharib Ali, Debesh Jha, Noha M. Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East

CoRR, 2021

2020

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.

Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher

CoRR, 2020

Endoscopy disease detection challenge 2020.

Sharib Ali, Noha M. Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James E. East

CoRR, 2020

2019

Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscopy.

Tan-Binh Phan, Dinh Hoan Trinh, Dominique Lamarque, Didier Wolf, Christian Daul

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Mosaicing of Images with Few Textures and Strong Illumination Changes: Application to Gastroscopic Scenes.

Dinh Hoan Trinh, Christian Daul, Walter Blondel, Dominique Lamarque

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Detection of H. pylori Induced Gastric Inflammation by Diffuse Reflectance Analysis.

Alexandre Krebs, Vania Camilo, Eliette Touati, Yannick Benezeth, Valerie Michel, Gregory Jouvion, Fan Yang, Dominique Lamarque, Franck Marzani

Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2016

Identification of precancerous lesions by multispectral gastroendoscopy.

Sergio Ernesto Martinez Herrera, Yannick Benezeth, Matthieu Boffety, Jean-François Emile, Franck Marzani, Dominique Lamarque, François Goudail

Signal Image Video Process., 2016

2014

Multispectral Endoscopy to Identify Precancerous Lesions in Gastric Mucosa.

Sergio Ernesto Martinez Herrera, Yannick Benezeth, Matthieu Boffety, Jean-François Emile, Franck Marzani, Dominique Lamarque, François Goudail

Proceedings of the Image and Signal Processing - 6th International Conference, 2014

2012

Analysis of Multispectral Images of Excised Colon Tissue Samples Based on Genetic Algorithms.

July Galeano, Romuald Jolivot, Yannick Benezeth, Franck Marzani, Jean-François Emile, Dominique Lamarque

Proceedings of the Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012