Ali S, Jha D, Ghatwary N, Realdon S, Cannizzaro R, Salem OE, Lamarque D, Daul C, Riegler MA, Anonsen KV, Petlund A, Halvorsen P, Rittscher J, de Lange T, East JE

Sci Data. 2023 02 6;10(1):75

Evaluation and understanding of automated urinary stone recognition methods.

El Beze J, Mazeaud C, Daul C, Ochoa-Ruiz G, Daudon M, Eschwège P, Hubert J

BJU Int. 2022 Apr 29;:

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

Zenteno O, Trinh DH, Treuillet S, Lucas Y, Bazin T, Lamarque D, Daul C

Comput Biol Med. 2022 Jan 15;143:105234

Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Lopez F, Varelo A, Hinojosa O, Mendez M, Trinh DH, ElBeze Y, Hubert J, Estrade V, Gonzalez M, Ochoa G, Daul C

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2778-2781

Anatomical 3D Modeling Using IR Sensors and Radiometric Processing Based on Structure from Motion: Towards a Tool for the Diabetic Foot Diagnosis.

Bayareh Mancilla R, Tấn BP, Daul C, Gutiérrez Martínez J, Leija Salas L, Wolf D, Vera Hernández A

Sensors (Basel). 2021 Jun 6;21(11):

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

Ali S, Dmitrieva M, Ghatwary N, Bano S, Polat G, Temizel A, Krenzer A, Hekalo A, Guo YB, Matuszewski B, Gridach M, Voiculescu I, Yoganand V, Chavan A, Raj A, Nguyen NT, Tran DQ, Huynh LD, Boutry N, Rezvy S, Chen H, Choi YH, Subramanian A, Balasubramanian V, Gao XW, Hu H, Liao Y, Stoyanov D, Daul C, Realdon S, Cannizzaro R, Lamarque D, Tran-Nguyen T, Bailey A, Braden B, East JE, Rittscher J

Med Image Anal. 2021 Feb 17;70:102002

Two Diagnostic Criteria of Optical Spectroscopy for Bladder Tumor Detection: Clinical Study using 5-ALA induced fluorescence and Mathematical Modeling.

Kalyagina N, Loshchenov M, Amouroux M, Daul C, Kudashev B, Blondel W, Loschenov V

Photodiagnosis Photodyn Ther. 2020 May 20;:101829

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

Ali S, Zhou F, Braden B, Bailey A, Yang S, Cheng G, Zhang P, Li X, Kayser M, Soberanis-Mukul RD, Albarqouni S, Wang X, Wang C, Watanabe S, Oksuz I, Ning Q, Yang S, Khan MA, Gao XW, Realdon S, Loshchenov M, Schnabel JA, East JE, Wagnieres G, Loschenov VB, Grisan E, Daul C, Blondel W, Rittscher J

Sci Rep. 2020 Feb 17;10(1):2748

Clinical evaluation of a device providing simultaneous white-light and fluorescence video streams as well as panoramic imaging during fluorescence assisted-transurethral resection of bladder cancer.

Amouroux M, Salleron J, Huin-Schohn C, Ali S, Berthaud S, Rizo P, Schneider S, Vever-Bizet C, Bourg-Heckly G, Guillemin F, Le Coupanec P, Galbrun E, Daouk J, Daul C, Blondel W, Eschwège P

J Opt Soc Am A Opt Image Sci Vis. 2019 Nov 1;36(11):C62-C68

Source separation approach for the analysis of spatially resolved multiply excited autofluorescence spectra during optical clearing of skin.

Rakotomanga P, Soussen C, Khairallah G, Amouroux M, Zaytsev S, Genina E, Chen H, Delconte A, Daul C, Tuchin V, Blondel W

Biomed Opt Express. 2019 Jul 1;10(7):3410-3424

Torsion estimation of particle paths through porous media observed by in-situ time-resolved microtomography.

Blankenburg C, Rack A, Daul C, Ohser J

J Microsc. 2017 Feb;:

Spatially and spectrally resolved particle swarm optimization for precise optical property estimation using diffuse-reflectance spectroscopy.

Kholodtsova MN, Daul C, Loschenov VB, Blondel WC

Opt Express. 2016 06 13;24(12):12682-700

Experimental and Monte Carlo investigation of visible diffuse-reflectance imaging sensitivity to diffusing particle size changes in an optical model of a bladder wall.

Kalyagina N, Loschenov V, Wolf D, Daul C, Blondel W, Savelieva T

. 2011 Nov;105(3):631-9.

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Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition.

Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Photometric and Monte-Carlo modeling unified approach for the calculation of spatially-resolved correction coefficients linking simulated and experimental diffuse reflectance spectra.

Implementation of Data Fusion to increase the efficiency of classification of pre-cancerous skin states using in vivo bimodal spectroscopic technique.

A multi-centre polyp detection and segmentation dataset for generalisability assessment.

Evaluation and understanding of automated urinary stone recognition methods.

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

Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Anatomical 3D Modeling Using IR Sensors and Radiometric Processing Based on Structure from Motion: Towards a Tool for the Diabetic Foot Diagnosis.

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

Two Diagnostic Criteria of Optical Spectroscopy for Bladder Tumor Detection: Clinical Study using 5-ALA induced fluorescence and Mathematical Modeling.

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

Clinical evaluation of a device providing simultaneous white-light and fluorescence video streams as well as panoramic imaging during fluorescence assisted-transurethral resection of bladder cancer.

Source separation approach for the analysis of spatially resolved multiply excited autofluorescence spectra during optical clearing of skin.

Torsion estimation of particle paths through porous media observed by in-situ time-resolved microtomography.

Spatially and spectrally resolved particle swarm optimization for precise optical property estimation using diffuse-reflectance spectroscopy.

Two-Stage Analysis on Models for Quantitative Differentiation of Early-Pathological Bladder States.

Flexible calibration of structured-light systems projecting point patterns.

Validation of a digital mammographic unit model for an objective and highly automated clinical image quality assessment.

Graph based construction of textured large field of view mosaics for bladder cancer diagnosis.

Texture-based analysis of clustered microcalcifications detected on mammograms.

Computation of realistic virtual phantom images for an objective lesion detectability assessment in digital mammography.

Experimental and Monte Carlo investigation of visible diffuse-reflectance imaging sensitivity to diffusing particle size changes in an optical model of a bladder wall.

Fast construction of panoramic images for cystoscopic exploration.

3-D multimodal cardiac data superimposition using 2-D image registration and 3-D reconstruction from multiple views

Mosaicing of bladder endoscopic image sequences: distortion calibration and registration algorithm.

Mathematics in biomedical imaging.

Towards a noninvasive intracranial tumor irradiation using 3d optical imaging and multimodal data registration.

[Matching of mammary microcalcifications on images from different views].

Correspondences between microcalcification projections on two mammographic views acquired with digital systems.

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