KBED: A Knowledge-Based Edge Detection System - Cyril Boucher; Christian Daul; Pierre Graebling; Ernest Hirsch (DEXA, 1995)

Qualität von Holzoberflächen: Farbe und Maserung. - Bernhard Claus; Christian Daul; Ronald Rösch (DAGM-Symposium, 1996)

A Fast Image Processing Algorithm for Quality Control of Woven Textiles. - Christian Daul; Ronald Rösch; Bernhard Claus; Jürgen Grotepaß; Uwe Knaak; Ralph Föhr (DAGM-Symposium, 1998)

From the Hough Transform to a New Approach for the Detection and Approximation of Elliptical Arcs. - Christian Daul; Pierre Graebling; Ernest Hirsch (Comput. Vis. Image Underst., 1998)

Building a color classification system for textured and hue homogeneous surfaces: system calibration and algorithm. - Christian Daul; Ronald Rösch; Bernhard Claus (Mach. Vis. Appl., 2000)

A simplified method of endoscopic image distortion correction based on grey level registration. - Rosebet Miranda-Luna; Walter Blondel; Christian Daul; Yahir Hernández-Mier; Ruben Posada; Didier Wolf (ICIP, 2004)

Towards a fractioned treatment in conformal radiotherapy using 3d-multimodal data registration. - Ruben Posada; Christian Daul; Didier Wolf; Pierre Aletti; Rosebet Miranda-Luna (ICIP, 2004)

Towards a new diagnosis aid of cardiovascular diseases using 2d-multimodal data registration and 3d-data superimposition. - Gaelle Valet; Stéphane Sanchez; Juan Manuel Lopez-Hernandez; Christian Daul; Didier Wolf; Gilles Karcher (ICIP, 2004)

Automated detection and classification of clusters of microcalcifications in mammograms. - Alain Tiedeu; Aude D. Kentsop; Christian Daul; Pierre Graebling; Martin Kom (SITIS, 2005)

3-D reconstruction of microcalcification clusters using stereo imaging: algorithm and mammographic unit calibration. - Christian Daul; Pierre Graebling; Alain Tiedeu; Didier Wolf (IEEE Trans. Biomed. Eng., 2005)

Mathematics in Biomedical Imaging. - Ming Jiang 001; Alfred K. Louis; Didier Wolf; Hongkai Zhao; Christian Daul; Zhaotian Zhang; Tie Zhou (Int. J. Biomed. Imaging, 2007)

Towards a Noninvasive Intracranial Tumor Irradiation Using 3D Optical Imaging and Multimodal Data Registration. - Ruben Posada; Christian Daul; Didier Wolf; Pierre Aletti (Int. J. Biomed. Imaging, 2007)

Mosaicing of Bladder Endoscopic Image Sequences: Distortion Calibration and Registration Algorithm. - Rosebet Miranda-Luna; Christian Daul; Walter Blondel; Yahir Hernández-Mier; Didier Wolf; François Guillemin (IEEE Trans. Biomed. Eng., 2008)

3-D multimodal cardiac data superimposition using 2-D image registration and 3-D reconstruction from multiple views. - Christian Daul; Juan Manuel Lopez-Hernandez; Didier Wolf; Gilles Karcher; Gérard Ethévenot (Image Vis. Comput., 2009)

From 2D towards 3D cartography of hollow organs. - Christian Daul; Walter Blondel; Achraf Ben-Hamadou; Rosebet Miranda-Luna; Charles Soussen; Didier Wolf; François Guillemin (CCE, 2010)

A novel 3D surface construction approach: Application to three-dimensional endoscopic data. - Achraf Ben-Hamadou; Christian Daul; Charles Soussen; Ahmed Rekik; Walter Blondel (ICIP, 2010)

Flexible projector calibration for active stereoscopic systems. - Achraf Ben-Hamadou; Charles Soussen; Christian Daul; Walter Blondel; Didier Wolf (ICIP, 2010)

Endoscopic bladder image registration using sparse graph cuts. - Thomas Weibel; Christian Daul; Didier Wolf; Ronald Rösch; Achraf Ben-Hamadou (ICIP, 2010)

Fast construction of panoramic images for cystoscopic exploration. - Yahir Hernández-Mier; Walter Blondel; Christian Daul; Didier Wolf; François Guillemin (Comput. Medical Imaging Graph., 2010)

Planarity-enforcing higher-order graph cut. - Thomas Weibel; Christian Daul; Didier Wolf; Ronald Rösch (ICIP, 2011)

Contrast-enhancing seam detection and blending using graph cuts. - Thomas Weibel; Christian Daul; Didier Wolf; Ronald Rösch (ICPR, 2012)

Texture-based analysis of clustered microcalcifications detected on mammograms. - Alain Tiedeu; Christian Daul; Aude D. Kentsop; Pierre Graebling; Didier Wolf (Digit. Signal Process., 2012)

Graph based construction of textured large field of view mosaics for bladder cancer diagnosis. - Thomas Weibel; Christian Daul; Didier Wolf; Ronald Rösch; François Guillemin (Pattern Recognit., 2012)

Fast mosaicing of cystoscopic images from dense correspondence: Combined SURF and TV-L1 optical flow method. - Sharib Ali; Christian Daul; Thomas Weibel; Walter Blondel (ICIP, 2013)

Flexible calibration of structured-light systems projecting point patterns. - Achraf Ben-Hamadou; Charles Soussen; Christian Daul; Walter Blondel; Didier Wolf (Comput. Vis. Image Underst., 2013)

Robust and accurate optical flow estimation for weak texture and varying illumination conditions: Application to cystoscopy. - Sharib Ali; Christian Daul; Walter Blondel (IPTA, 2014)

Optical flow with structure information for epithelial image mosaicing. - Sharib Ali; Khuram Faraz; Christian Daul; Walter Blondel (EMBC, 2015)

Robust bladder image registration by redefining data-term in total variational approach. - Sharib Ali; Christian Daul; Ernest Galbrun; Marine Amouroux; François Guillemin; Walter Blondel (Image Processing, 2015)

Comparative study of image registration techniques for bladder video-endoscopy. - Achraf Ben-Hamadou; Charles Soussen; Walter Blondel; Christian Daul; Didier Wolf (CoRR, 2015)

Parameter free torsion estimation of curves in 3D images. - Christoph Blankenburg; Christian Daul; Joachim Ohser (ICIP, 2016)

Towards skin image mosaicing. - Khuram Faraz; Walter Blondel; Marine Amouroux; Christian Daul (IPTA, 2016)

Construction of extended 3D field of views of the internal bladder wall surface: a proof of concept. - Achraf Ben-Hamadou; Christian Daul; Charles Soussen (CoRR, 2016)

Illumination invariant optical flow using neighborhood descriptors. - Sharib Ali; Christian Daul; Ernest Galbrun; Walter Blondel (Comput. Vis. Image Underst., 2016)

Anisotropic motion estimation on edge preserving Riesz wavelets for robust video mosaicing. - Sharib Ali; Christian Daul; Ernest Galbrun; François Guillemin; Walter Blondel (Pattern Recognit., 2016)

A general form of illumination-invariant descriptors in variational optical flow estimation. - Dinh Hoan Trinh; Walter Blondel; Christian Daul (ICIP, 2017)

Mosaicing of Images with Few Textures and Strong Illumination Changes: Application to Gastroscopic Scenes. - Dinh Hoan Trinh; Christian Daul; Walter Blondel; Dominique Lamarque (ICIP, 2018)

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 (ICIP, 2019)

Endoscopy artifact detection (EAD 2019) challenge dataset. - Sharib Ali; Felix Zhou 001; Christian Daul; Barbara Braden; Adam Bailey; Stefano Realdon; James E. East; Georges Wagnières; Victor Loschenov; Enrico Grisan; Walter Blondel; Jens Rittscher (CoRR, 2019)

On illumination-invariant variational optical flow for weakly textured scenes. - Dinh Hoan Trinh; Christian Daul (Comput. Vis. Image Underst., 2019)

Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning. - Adriana Martínez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Pascal Eschwege; Vincent Estrade; Lina Aguilar; Christian Daul; Gilberto Ochoa (EMBC, 2020)

Detection of Sore-risk Regions on the Foot Sole with Digital Image Processing and Passive Thermography in Diabetic Patients. - Rafael Bayareh Mancilla; Christian Daul; Josefina Gutiérrez-Martínez; Arturo Vera Hernández; Didier Wolf; Lorenzo Leija Salas (CCE, 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)

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; et al. (CoRR, 2020)

Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces. - Tan-Binh Phan; Dinh Hoan Trinh; Didier Wolf; Christian Daul (Pattern Recognit., 2020)

Assessing deep learning methods for the identification of kidney stones in endoscopic images. - Francisco Javier López-Tiro; Andres Varelo; Oscar Hinojosa; Mauricio Mendez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Vincent Estrade; Miguel Gonzalez 001; Gilberto Ochoa; Christian Daul (EMBC, 2021)

Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot. - Rafael Bayareh Mancilla; Christian Daul; Josefina Gutiérrez-Martínez; Lorenzo Leija Salas; Didier Wolf; Arturo Vera Hernández (CCE, 2021)

Assessing deep learning methods for the identification of kidney stones in endoscopic images. - Francisco Javier López-Tiro; Andres Varela; Oscar Hinojosa; Mauricio Mendez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Vincent Estrade; Miguel Gonzalez 001; Gilberto Ochoa; Christian Daul (CoRR, 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; et al. (CoRR, 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; et al. (Medical Image Anal., 2021)

Anatomical 3D Modeling Using IR Sensors and Radiometric Processing Based on Structure from Motion: Towards a Tool for the Diabetic Foot Diagnosis. - Rafael Bayareh Mancilla; Bình Phan Tan; Christian Daul; Josefina Gutiérrez-Martínez; Lorenzo Leija Salas; Didier Wolf; Arturo Vera Hernández (Sensors, 2021)

Consideration for segmentation based on radiometric data processing, towards the research of quantitative medical thermography. - Rafael Bayareh Mancilla; Wilfrido Gómez-Flores; Christian Daul; Josefina Gutiérrez-Martínez; Lorenzo Leija Salas; Didier Wolf; Arturo Vera Hernández (CCE, 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 (MICAI (1), 2022)

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (MICAI (1), 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)

On the in vivo recognition of kidney stones using machine learning. - Gilberto Ochoa-Ruiz; Vincent Estrade; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Dinh Hoan Trinh; Miguel González-Mendoza 001; Pascal Eschwege; Jacques Hubert; 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 026; Wuyang Li; Adrian Galdran; Miguel Ángel González Ballester; Vajira Thambawita; Steven Hicks; Sahadev Poudel; et al. (CoRR, 2022)

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Jonathan El Beze; Vincent Estrade; Gilberto Ochoa-Ruiz; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (CoRR, 2022)

Comparing feature fusion strategies for Deep Learning-based kidney stone identification. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Jonathan El Beze; Jacques Hubert; Christian Daul (CoRR, 2022)

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 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 López-Tiro; Gilberto Ochoa-Ruiz; Thomas Bazin; Dominique Lamarque; Christian Daul (CoRR, 2022)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - Francisco Javier López-Tiro; Juan Pablo Betancur-Rengifo; Arturo J. Ruiz-Sanchez; Iván Reyes-Amezcua; Jonathan El Beze; Jacques Hubert; Michel Daudon; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CVPR Workshops, 2023)

Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning. - Francisco Javier López-Tiro; Elias Villalvazo-Avila; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (ICCV (Workshops), 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 (ISBI, 2023)

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Mariana Rizo; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (ISBI, 2023)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - Francisco Javier López-Tiro; Daniel Flores-Araiza; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (MICAI (2), 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)

Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning. - Francisco Javier López-Tiro; Elias Villalvazo-Avila; Juan Pablo Betancur-Rengifo; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2023)

Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images. - Armando Villegas-Jiménez; Daniel Flores-Araiza; Francisco Javier López-Tiro; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2023)

A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts. - Ricardo Espinosa; Javier Cerriteño; Saul Gonzalez-Dominguez; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer. - Ricardo Espinosa; Eluney Hernández; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. - Daniel Flores-Araiza; Armando Villegas-Jiménez; Francisco Javier López-Tiro; Miguel González-Mendoza 001; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - Ruben Gonzalez-Perez; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Luis Eduardo Falcón-Morales; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Michel Daudon; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. - Iván Reyes-Amezcua; Michael Rojas-Ruiz; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez; Christian Daul (MICAI (2), 2024)

EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. - Iván Reyes-Amezcua; Ricardo Espinosa; Christian Daul; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (DEMI@MICCAI, 2024)

On the In Vivo Recognition of Kidney Stones Using Machine Learning. - Francisco Javier López-Tiro; Vincent Estrade; Jacques Hubert; Daniel Flores-Araiza; Miguel González-Mendoza 001; Gilberto Ochoa; Christian Daul (IEEE Access, 2024)

Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Clément Larose; Salvador Hinojosa; Andres Mendez-Vazquez; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2024)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - Ruben Gonzalez-Perez; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Eduardo Falcon-Morales; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Michel Daudon; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2024)

A metric learning approach for endoscopic kidney stone identification. - Jorge Gonzalez-Zapata; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Daniel Flores-Araiza; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul; Andres Mendez-Vazquez (Expert Syst. Appl., 2024)

Evaluación causal de características en base a explicaciones de clasificadores profundos de imágenes médicas: Un estudio de caso sobre imágenes de cálculos renales ex-vivo. - Armando Villegas-Jiménez; Daniel Flores-Araiza; Francisco Javier López-Tiro; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (Res. Comput. Sci., 2024)

Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy. - Carlos Salazar-Ruiz; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Clément Larose; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2025)

Assessing the Generalization Performance of SAM for Ureteroscopy Scene Understanding. - Martin Villagrana; Francisco Javier López-Tiro; Clément Larose; Gilberto Ochoa-Ruiz; Christian Daul (MIUA (2), 2025)

Corrections to "On the In Vivo Recognition of Kidney Stones Using Machine Learning". - Francisco Javier López-Tiro; Vincent Estrade; Jacques Hubert; Daniel Flores-Araiza; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (IEEE Access, 2025)

Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs. - Iván Reyes-Amezcua; Francisco Javier López-Tiro; Clément Larose; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2025)