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Christian Daul

Showing results (11-20 of 24) with videos related to

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International Journal of Biomedical Imaging|February 16, 2008
Mathematics in biomedical imagingMing Jiang, Alfred K Louis, Didier Wolf, et al.
Computers in Biology and Medicine|January 30, 2022
Optical biopsy mapping on endoscopic image mosaics with a marker-free probeOmar Zenteno, Dinh-Hoan Trinh, Sylvie Treuillet, et al.
BJU International|April 29, 2022
Evaluation and understanding of automated urinary stone recognition methodsJonathan El Beze, Charles Mazeaud, Christian Daul, et al.
IEEE Transactions on Bio-Medical Engineering|February 14, 2008
Mosaicing of bladder endoscopic image sequences: distortion calibration and registration algorithmRosebet Miranda-Luna, Christian Daul, Walter C P M Blondel, et al.
Sensors (Basel, Switzerland)|July 2, 2021
Anatomical 3D Modeling Using IR Sensors and Radiometric Processing Based on Structure from Motion: Towards a Tool for the Diabetic Foot DiagnosisRafael Bayareh Mancilla, Bình Phan Tấn, Christian Daul, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learningAdriana Martinez, Dinh-Hoan Trinh, Jonathan El Beze, et al.
Artificial Intelligence in Medicine|September 24, 2025
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognitionDaniel Flores-Araiza, Francisco Lopez-Tiro, Clément Larose, et al.
Biomedical Optics Express|August 31, 2019
Source separation approach for the analysis of spatially resolved multiply excited autofluorescence spectra during optical clearing of <i>ex vivo</i> skinPrisca Rakotomanga, Charles Soussen, Grégoire Khairallah, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Assessing deep learning methods for the identification of kidney stones in endoscopic imagesFrancisco Lopez, Andres Varelo, Oscar Hinojosa, et al.
Scientific Data|February 6, 2023
A multi-centre polyp detection and segmentation dataset for generalisability assessmentSharib Ali, Debesh Jha, Noha Ghatwary, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
International Journal of Biomedical Imaging|February 16, 2008
Mathematics in biomedical imagingMing Jiang, Alfred K Louis, Didier Wolf, et al.
Computers in Biology and Medicine|January 30, 2022
Optical biopsy mapping on endoscopic image mosaics with a marker-free probeOmar Zenteno, Dinh-Hoan Trinh, Sylvie Treuillet, et al.
BJU International|April 29, 2022
Evaluation and understanding of automated urinary stone recognition methodsJonathan El Beze, Charles Mazeaud, Christian Daul, et al.
IEEE Transactions on Bio-Medical Engineering|February 14, 2008
Mosaicing of bladder endoscopic image sequences: distortion calibration and registration algorithmRosebet Miranda-Luna, Christian Daul, Walter C P M Blondel, et al.
Sensors (Basel, Switzerland)|July 2, 2021
Anatomical 3D Modeling Using IR Sensors and Radiometric Processing Based on Structure from Motion: Towards a Tool for the Diabetic Foot DiagnosisRafael Bayareh Mancilla, Bình Phan Tấn, Christian Daul, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learningAdriana Martinez, Dinh-Hoan Trinh, Jonathan El Beze, et al.
Artificial Intelligence in Medicine|September 24, 2025
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognitionDaniel Flores-Araiza, Francisco Lopez-Tiro, Clément Larose, et al.
Biomedical Optics Express|August 31, 2019
Source separation approach for the analysis of spatially resolved multiply excited autofluorescence spectra during optical clearing of <i>ex vivo</i> skinPrisca Rakotomanga, Charles Soussen, Grégoire Khairallah, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Assessing deep learning methods for the identification of kidney stones in endoscopic imagesFrancisco Lopez, Andres Varelo, Oscar Hinojosa, et al.
Scientific Data|February 6, 2023
A multi-centre polyp detection and segmentation dataset for generalisability assessmentSharib Ali, Debesh Jha, Noha Ghatwary, et al.
Pageof 3