Christian Daul

101 papers B 20C 1Journal 53Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 — conf
Assessing the Generalization Performance of SAM for Ureteroscopy Scene Understanding.
MIUA (2)
Martin Villagrana, Francisco Javier López-Tiro, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Assessing the generalization performance of SAM for ureteroscopy scene understanding.
CoRR
Martin Villagrana, Francisco Javier López-Tiro, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Corrections to "On the In Vivo Recognition of Kidney Stones Using Machine Learning".
IEEE Access
Francisco Javier López-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2025 — conf
Cycle-Consistent Diffusion Model With Vessel-Aware Attention for Endoscopic Image Translation.
MLSP
Meryem Amaouche, Ouassim Karrakchou, Mounir Ghogho, Christian Daul, Anouar El Ghazzaly, Mohamed Alami, Ahmed Ameur
2025 B conf
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy.
CBMS
Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy.
CoRR
Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition.
Artif. Intell. Medicine
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2025 — conf
Prompt Assisted Enhancement for Correcting Illumination Artifacts in Endoscopic Images.
MICAI (1)
Ricardo Espinosa, Eluney Hernández, Javier Cerriteño Magaña, Gilberto Ochoa, Christian Daul
2025 — conf
Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy.
DEMI@MICCAI
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 — conf
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
MICAI (2)"
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2024 B ed.
37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024, Guadalajara, Mexico, June 26-28, 2024
CBMS
Gilberto Ochoa-Ruiz, Enrico Grisan, Sharib Ali, Rosa Sicilia, Lucía Prieto Santamaría, Bridget Kane, Christian Daul, Gildardo Sánchez-Ante, Alejandro Rodríguez González
2024 B conf
A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts.
CBMS
Ricardo Espinosa, Javier Cerriteño, Saul Gonzalez-Dominguez, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
A metric learning approach for endoscopic kidney stone identification.
Expert Syst. Appl.
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul, Andres Mendez-Vazquez
2024 B conf
Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer.
CBMS
Ricardo Espinosa, Eluney Hernández, Gilberto Ochoa-Ruiz, Christian Daul
2024 — conf
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.
DEMI@MICCAI
Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 J jnl
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.
CoRR
Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 J jnl
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.
Res. Comput. Sci.
Armando Villegas-Jiménez, Daniel Flores-Araiza, Francisco Javier López-Tiro, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 B conf
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.
CBMS
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
2024 J jnl
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.
CoRR
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
2024 J jnl
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 — conf
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
MICAI (2)
Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
2024 J jnl
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
CoRR
Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
2024 J jnl
On the In Vivo Recognition of Kidney Stones Using Machine Learning.
IEEE Access
Francisco Javier López-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa, Christian Daul
2024 B conf
On the Link Between Model Performance and Causal Scoring of Medical Image Explanations.
CBMS
Daniel Flores-Araiza, Armando Villegas-Jiménez, Francisco Javier López-Tiro, Miguel González-Mendoza, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
A metric learning approach for endoscopic kidney stone identification.
CoRR
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
MICAI (2)
Francisco Javier López-Tiro, Daniel Flores-Araiza, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images.
CoRR
Armando Villegas-Jiménez, Daniel Flores-Araiza, Francisco Javier López-Tiro, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
CVPR Workshops
Daniel Flores-Araiza, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction.
CoRR
Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
2023 — conf
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
ISBI
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Mariana Rizo, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning.
ICCV (Workshops)
Francisco Javier López-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning.
CoRR
Francisco Javier López-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging.
ISBI
Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
2022 — conf
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models.
MICAI (1)
Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Falcón-Morales, Dominique Lamarque, Christian Daul
2022 J jnl
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models.
CoRR
Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Eduardo Falcón-Morales, Dominique Lamarque, Christian Daul
2022 J jnl
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR
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
2022 J jnl
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
CoRR
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
2022 J jnl
Comparing feature fusion strategies for Deep Learning-based kidney stone identification.
CoRR
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul
2022 — conf
Consideration for segmentation based on radiometric data processing, towards the research of quantitative medical thermography.
CCE
Rafael Bayareh Mancilla, Wilfrido Gómez-Flores, Christian Daul, Josefina Gutiérrez-Martínez, Lorenzo Leija Salas, Didier Wolf, Arturo Vera Hernández
2022 J jnl
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams.
CoRR
Pedro Esteban Chavarrias-Solano, Carlos Axel Garcia-Vega, Francisco Javier López-Tiro, Gilberto Ochoa-Ruiz, Thomas Bazin, Dominique Lamarque, Christian Daul
2022 J jnl
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
CoRR
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2022 J jnl
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2022 J jnl
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging.
CoRR
Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
2022 — conf
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
MICAI (1)
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 J jnl
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.
CoRR
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 J jnl
On the in vivo recognition of kidney stones using machine learning.
CoRR
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul
2022 J jnl
Optical biopsy mapping on endoscopic image mosaics with a marker-free probe.
Comput. Biol. Medicine
Omar Zenteno, Dinh Hoan Trinh, Sylvie Treuillet, Yves Lucas, Thomas Bazin, Dominique Lamarque, Christian Daul
2021 J jnl
Anatomical 3D Modeling Using IR Sensors and Radiometric Processing Based on Structure from Motion: Towards a Tool for the Diabetic Foot Diagnosis.
Sensors
Rafael Bayareh Mancilla, Bình Phan Tan, Christian Daul, Josefina Gutiérrez-Martínez, Lorenzo Leija Salas, Didier Wolf, Arturo Vera Hernández
2021 — conf
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
EMBC
Francisco Javier López-Tiro, Andres Varelo, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
2021 J jnl
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
CoRR
Francisco Javier López-Tiro, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
2021 J jnl
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal.
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
2021 J jnl
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment.
CoRR
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
2021 — conf
Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot.
CCE
Rafael Bayareh Mancilla, Christian Daul, Josefina Gutiérrez-Martínez, Lorenzo Leija Salas, Didier Wolf, Arturo Vera Hernández
2020 J jnl
A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR
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
2020 — conf
Detection of Sore-risk Regions on the Foot Sole with Digital Image Processing and Passive Thermography in Diabetic Patients.
CCE
Rafael Bayareh Mancilla, Christian Daul, Josefina Gutiérrez-Martínez, Arturo Vera Hernández, Didier Wolf, Lorenzo Leija Salas
2020 J jnl
Endoscopy disease detection challenge 2020.
CoRR
Sharib Ali, Noha M. Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James E. East
2020 J jnl
Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces.
Pattern Recognit.
Tan-Binh Phan, Dinh Hoan Trinh, Didier Wolf, Christian Daul
2020 — ed.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, EndoCV@ISBI 2020, Iowa City, Iowa, USA, 3rd April 2020
EndoCV
Sharib Ali, Christian Daul, Jens Rittscher, Danail Stoyanov, Enrico Grisan
2020 — conf
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.
EMBC
Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Maria Aguilar-Lobo, Christian Daul, Gilberto Ochoa
2019 B conf
Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscopy.
ICIP
Tan-Binh Phan, Dinh Hoan Trinh, Dominique Lamarque, Didier Wolf, Christian Daul
2019 J jnl
Endoscopy artifact detection (EAD 2019) challenge dataset.
CoRR
Sharib Ali, Felix Zhou, Christian Daul, Barbara Braden, Adam Bailey, Stefano Realdon, James E. East, Georges Wagnières, Victor Loschenov, Enrico Grisan, Walter Blondel, Jens Rittscher
2019 J jnl
On illumination-invariant variational optical flow for weakly textured scenes.
Comput. Vis. Image Underst.
Dinh Hoan Trinh, Christian Daul
2018 B conf
Mosaicing of Images with Few Textures and Strong Illumination Changes: Application to Gastroscopic Scenes.
ICIP
Dinh Hoan Trinh, Christian Daul, Walter Blondel, Dominique Lamarque
2017 B conf
A general form of illumination-invariant descriptors in variational optical flow estimation.
ICIP
Dinh Hoan Trinh, Walter Blondel, Christian Daul
2016 J jnl
Anisotropic motion estimation on edge preserving Riesz wavelets for robust video mosaicing.
Pattern Recognit.
Sharib Ali, Christian Daul, Ernest Galbrun, François Guillemin, Walter Blondel
2016 J jnl
Construction of extended 3D field of views of the internal bladder wall surface: a proof of concept.
CoRR
Achraf Ben-Hamadou, Christian Daul, Charles Soussen
2016 J jnl
Illumination invariant optical flow using neighborhood descriptors.
Comput. Vis. Image Underst.
Sharib Ali, Christian Daul, Ernest Galbrun, Walter Blondel
2016 B conf
Parameter free torsion estimation of curves in 3D images.
ICIP
Christoph Blankenburg, Christian Daul, Joachim Ohser
2016 — conf
Towards skin image mosaicing.
IPTA
Khuram Faraz, Walter Blondel, Marine Amouroux, Christian Daul
2015 J jnl
Comparative study of image registration techniques for bladder video-endoscopy.
CoRR
Achraf Ben-Hamadou, Charles Soussen, Walter Blondel, Christian Daul, Didier Wolf
2015 — conf
Optical flow with structure information for epithelial image mosaicing.
EMBC
Sharib Ali, Khuram Faraz, Christian Daul, Walter Blondel
2015 B conf
Robust bladder image registration by redefining data-term in total variational approach.
Image Processing
Sharib Ali, Christian Daul, Ernest Galbrun, Marine Amouroux, François Guillemin, Walter Blondel
2014 — conf
Robust and accurate optical flow estimation for weak texture and varying illumination conditions: Application to cystoscopy.
IPTA
Sharib Ali, Christian Daul, Walter Blondel
2013 B conf
Fast mosaicing of cystoscopic images from dense correspondence: Combined SURF and TV-L1 optical flow method.
ICIP
Sharib Ali, Christian Daul, Thomas Weibel, Walter Blondel
2013 J jnl
Flexible calibration of structured-light systems projecting point patterns.
Comput. Vis. Image Underst.
Achraf Ben-Hamadou, Charles Soussen, Christian Daul, Walter Blondel, Didier Wolf
2012 B conf
Contrast-enhancing seam detection and blending using graph cuts.
ICPR
Thomas Weibel, Christian Daul, Didier Wolf, Ronald Rösch
2012 J jnl
Graph based construction of textured large field of view mosaics for bladder cancer diagnosis.
Pattern Recognit.
Thomas Weibel, Christian Daul, Didier Wolf, Ronald Rösch, François Guillemin
2012 J jnl
Texture-based analysis of clustered microcalcifications detected on mammograms.
Digit. Signal Process.
Alain Tiedeu, Christian Daul, Aude D. Kentsop, Pierre Graebling, Didier Wolf
2011 B conf
Planarity-enforcing higher-order graph cut.
ICIP
Thomas Weibel, Christian Daul, Didier Wolf, Ronald Rösch
2010 B conf
A novel 3D surface construction approach: Application to three-dimensional endoscopic data.
ICIP
Achraf Ben-Hamadou, Christian Daul, Charles Soussen, Ahmed Rekik, Walter Blondel
2010 B conf
Endoscopic bladder image registration using sparse graph cuts.
ICIP
Thomas Weibel, Christian Daul, Didier Wolf, Ronald Rösch, Achraf Ben-Hamadou
2010 J jnl
Fast construction of panoramic images for cystoscopic exploration.
Comput. Medical Imaging Graph.
Yahir Hernández-Mier, Walter Blondel, Christian Daul, Didier Wolf, François Guillemin
2010 B conf
Flexible projector calibration for active stereoscopic systems.
ICIP
Achraf Ben-Hamadou, Charles Soussen, Christian Daul, Walter Blondel, Didier Wolf
2010 — conf
From 2D towards 3D cartography of hollow organs.
CCE
Christian Daul, Walter Blondel, Achraf Ben-Hamadou, Rosebet Miranda-Luna, Charles Soussen, Didier Wolf, François Guillemin
2009 J jnl
3-D multimodal cardiac data superimposition using 2-D image registration and 3-D reconstruction from multiple views.
Image Vis. Comput.
Christian Daul, Juan Manuel López-Hernández, Didier Wolf, Gilles Karcher, Gérard Ethévenot
2008 J jnl
Mosaicing of Bladder Endoscopic Image Sequences: Distortion Calibration and Registration Algorithm.
IEEE Trans. Biomed. Eng.
Rosebet Miranda-Luna, Christian Daul, Walter Blondel, Yahir Hernández-Mier, Didier Wolf, François Guillemin
2007 J jnl
Mathematics in Biomedical Imaging.
Int. J. Biomed. Imaging
Ming Jiang, Alfred K. Louis, Didier Wolf, Hongkai Zhao, Christian Daul, Zhaotian Zhang, Tie Zhou
2007 J jnl
Towards a Noninvasive Intracranial Tumor Irradiation Using 3D Optical Imaging and Multimodal Data Registration.
Int. J. Biomed. Imaging
Ruben Posada, Christian Daul, Didier Wolf, Pierre Aletti
2005 J jnl
3-D reconstruction of microcalcification clusters using stereo imaging: algorithm and mammographic unit calibration.
IEEE Trans. Biomed. Eng.
Christian Daul, Pierre Graebling, Alain Tiedeu, Didier Wolf
2005 — conf
Automated detection and classification of clusters of microcalcifications in mammograms.
SITIS
Alain Tiedeu, Aude D. Kentsop, Christian Daul, Pierre Graebling, Martin Kom
2004 B conf
A simplified method of endoscopic image distortion correction based on grey level registration.
ICIP
Rosebet Miranda-Luna, Walter Blondel, Christian Daul, Yahir Hernández-Mier, Ruben Posada, Didier Wolf
2004 B conf
Towards a fractioned treatment in conformal radiotherapy using 3d-multimodal data registration.
ICIP
Ruben Posada, Christian Daul, Didier Wolf, Pierre Aletti, Rosebet Miranda-Luna
2004 B conf
Towards a new diagnosis aid of cardiovascular diseases using 2d-multimodal data registration and 3d-data superimposition.
ICIP
Gaelle Valet, Stéphane Sanchez, Juan Manuel López-Hernández, Christian Daul, Didier Wolf, Gilles Karcher
2000 J jnl
Building a color classification system for textured and hue homogeneous surfaces: system calibration and algorithm.
Mach. Vis. Appl.
Christian Daul, Ronald Rösch, Bernhard Claus
1998 — conf
A Fast Image Processing Algorithm for Quality Control of Woven Textiles.
DAGM-Symposium
Christian Daul, Ronald Rösch, Bernhard Claus, Jürgen Grotepaß, Uwe Knaak, Ralph Föhr
1998 J jnl
From the Hough Transform to a New Approach for the Detection and Approximation of Elliptical Arcs.
Comput. Vis. Image Underst.
Christian Daul, Pierre Graebling, Ernest Hirsch
1996 — conf
Qualität von Holzoberflächen: Farbe und Maserung.
DAGM-Symposium
Bernhard Claus, Christian Daul, Ronald Rösch
1995 C conf
KBED: A Knowledge-Based Edge Detection System
DEXA
Cyril Boucher, Christian Daul, Pierre Graebling, Ernest Hirsch