Christian Daul

About Christian Daul

Christian Daul, With an exceptional h-index of 22 and a recent h-index of 14 (since 2020), a distinguished researcher at Université de Lorraine, specializes in the field of Computer vision, image processing, medical imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multimodal and Multispectral Endoscopic Imaging with Extended Field of View

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

On the In Vivo Recognition of Kidney Stones Using Machine Learning

A metric learning approach for endoscopic kidney stone identification

Implementation of data fusion to increase the efficiency of classification of precancerous skin states using in vivo bimodal spectroscopic technique

Caractérisation optique des carcinomes cutanés par spectroscopie optique: le dispositif SpectroLive

Improved kidney stone recognition through attention and multi-view feature fusion strategies

Multi-scale structural-aware exposure correction for endoscopic imaging

Christian Daul Information

University

Position

Full professor

Citations(all)

1501

Citations(since 2020)

833

Cited By

885

hIndex(all)

22

hIndex(since 2020)

14

i10Index(all)

42

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Christian Daul Skills & Research Interests

Computer vision

image processing

medical imaging

Top articles of Christian Daul

Multimodal and Multispectral Endoscopic Imaging with Extended Field of View

Unconventional Optical Imaging for Biology

2024/4/15

Christian Daul
Christian Daul

H-Index: 11

Walter Blondel
Walter Blondel

H-Index: 15

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

Scientific Reports

2024/1/23

On the In Vivo Recognition of Kidney Stones Using Machine Learning

IEEE Access

2024/1/8

Christian Daul
Christian Daul

H-Index: 11

A metric learning approach for endoscopic kidney stone identification

arXiv preprint arXiv:2307.07046

2023/7/13

Christian Daul
Christian Daul

H-Index: 11

Implementation of data fusion to increase the efficiency of classification of precancerous skin states using in vivo bimodal spectroscopic technique

Journal of Biophotonics

2023/7

Caractérisation optique des carcinomes cutanés par spectroscopie optique: le dispositif SpectroLive

2023/6/21

Improved kidney stone recognition through attention and multi-view feature fusion strategies

2023/4/18

Christian Daul
Christian Daul

H-Index: 11

Multi-scale structural-aware exposure correction for endoscopic imaging

2023/4/18

Ricardo Espinosa
Ricardo Espinosa

H-Index: 2

Christian Daul
Christian Daul

H-Index: 11

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

arXiv preprint arXiv:2304.03171

2023/4/6

Ricardo Espinosa
Ricardo Espinosa

H-Index: 2

Christian Daul
Christian Daul

H-Index: 11

Evaluating the efficacy of different data processing methods in diagnosing precancerous skin conditions in a preclinical in-vivo model using bimodal spectroscopy

2023/3/7

Assessing the effectiveness of multimodal data fusion methods for in-vivo diagnosis of pre-cancerous skin conditions in a preclinical model

2023/3/6

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

Scientific Data

2023/2/6

Imagerie endoscopique multimodale et multispectrale à champ de vue étendu

Imageries optiques non conventionnelles pour la biologie

2023/1/20

Christian Daul
Christian Daul

H-Index: 11

Walter Blondel
Walter Blondel

H-Index: 15

Deep prototypical-parts ease morphological kidney stone identification and are competitively robust to photometric perturbations

2023

Christian Daul
Christian Daul

H-Index: 11

Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning

2023

Christian Daul
Christian Daul

H-Index: 11

Boosting kidney stone identification in endoscopic images using two-step transfer learning

2023/11/9

Christian Daul
Christian Daul

H-Index: 11

Multimodal optical spectroscopy for human skin cancer in vivo diagnosis

2023/10/15

Christian Daul
Christian Daul

H-Index: 11

Marine Amouroux
Marine Amouroux

H-Index: 5

Multimodal characterization of optical properties of urinary stones ex vivo for classification based on hyperspectral imaging, terahertz spectroscopy and integrating sphere …

2023/9/25

Automated endoscopic stone recognition using a multi-view fusion approach and a two-step transfer learning

2023/8/28

Christian Daul
Christian Daul

H-Index: 11

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

Optics Express

2023/7/31

See List of Professors in Christian Daul University(Université de Lorraine)

Co-Authors

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