182 related articles for article (PubMed ID: 36366860)
1. Utilizing deep learning for dermal matrix quality assessment on in vivo line-field confocal optical coherence tomography images.
Breugnot J; Rouaud-Tinguely P; Gilardeau S; Rondeau D; Bordes S; Aymard E; Closs B
Skin Res Technol; 2023 Jan; 29(1):e13221. PubMed ID: 36366860
[TBL] [Abstract][Full Text] [Related]
2. Comparison of line-field confocal optical coherence tomography images with histological sections: Validation of a new method for in vivo and non-invasive quantification of superficial dermis thickness.
Pedrazzani M; Breugnot J; Rouaud-Tinguely P; Cazalas M; Davis A; Bordes S; Dubois A; Closs B
Skin Res Technol; 2020 May; 26(3):398-404. PubMed ID: 31799766
[TBL] [Abstract][Full Text] [Related]
3. In vivo characterization of healthy human skin with a novel, non-invasive imaging technique: line-field confocal optical coherence tomography.
Monnier J; Tognetti L; Miyamoto M; Suppa M; Cinotti E; Fontaine M; Perez J; Orte Cano C; Yélamos O; Puig S; Dubois A; Rubegni P; Del Marmol V; Malvehy J; Perrot JL
J Eur Acad Dermatol Venereol; 2020 Dec; 34(12):2914-2921. PubMed ID: 32786124
[TBL] [Abstract][Full Text] [Related]
4. Line-field confocal optical coherence tomography (LC-OCT): principles and practical use.
Ogien J; Tavernier C; Fischman S; Dubois A
Ital J Dermatol Venerol; 2023 Jun; 158(3):171-179. PubMed ID: 37278495
[TBL] [Abstract][Full Text] [Related]
5. Mirau-based line-field confocal optical coherence tomography for three-dimensional high-resolution skin imaging.
Xue W; Ogien J; Bulkin P; Coutrot AL; Dubois A
J Biomed Opt; 2022 Aug; 27(8):. PubMed ID: 35962466
[TBL] [Abstract][Full Text] [Related]
6. Line-field confocal optical coherence tomography for high-resolution noninvasive imaging of skin tumors.
Dubois A; Levecq O; Azimani H; Siret D; Barut A; Suppa M; Del Marmol V; Malvehy J; Cinotti E; Rubegni P; Perrot JL
J Biomed Opt; 2018 Oct; 23(10):1-9. PubMed ID: 30353716
[TBL] [Abstract][Full Text] [Related]
7. Morphological evaluation of melanocytic lesions with three-dimensional line-field confocal optical coherence tomography: correlation with histopathology and reflectance confocal microscopy. A pilot study.
Perez-Anker J; Puig S; Alos L; García A; Alejo B; Cinotti E; Orte Cano C; Tognetti L; Lenoir C; Monnier J; Machuca N; Castillo P; Gibert PR; Rubegni P; Suppa M; Perrot JL; Del Marmol V; Malvehy J
Clin Exp Dermatol; 2022 Dec; 47(12):2222-2233. PubMed ID: 35988042
[TBL] [Abstract][Full Text] [Related]
8. Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model.
Zheng C; Xie X; Huang L; Chen B; Yang J; Lu J; Qiao T; Fan Z; Zhang M
Graefes Arch Clin Exp Ophthalmol; 2020 Mar; 258(3):577-585. PubMed ID: 31811363
[TBL] [Abstract][Full Text] [Related]
9. Line-field confocal optical coherence tomography of basosquamous carcinoma: a case series with histopathological correlation.
Cappilli S; Cinotti E; Lenoir C; Tognetti L; Perez-Anker J; Rubegni P; Puig S; Malvehy J; Perrot JL; Del Marmol V; Peris K; Suppa M
J Eur Acad Dermatol Venereol; 2022 Aug; 36(8):1214-1218. PubMed ID: 35224784
[TBL] [Abstract][Full Text] [Related]
10. Skin dark spot mapping and evaluation of brightening product efficacy using Line-field Confocal Optical Coherence Tomography (LC-OCT).
Jdid R; Pedrazzani M; Lejeune F; Fischman S; Cazorla G; Forestier S; Khalifa YB
Skin Res Technol; 2024 Feb; 30(2):e13623. PubMed ID: 38385854
[TBL] [Abstract][Full Text] [Related]
11. Lateral image reconstruction of optical coherence tomography using one-dimensional deep deconvolution network.
Lee M; Bang H; Lee E; Won Y; Kim K; Park S; Yoo H; Lee S
Lasers Surg Med; 2022 Aug; 54(6):895-906. PubMed ID: 35366377
[TBL] [Abstract][Full Text] [Related]
12. Fully automated detection of retinal disorders by image-based deep learning.
Li F; Chen H; Liu Z; Zhang X; Wu Z
Graefes Arch Clin Exp Ophthalmol; 2019 Mar; 257(3):495-505. PubMed ID: 30610422
[TBL] [Abstract][Full Text] [Related]
13. Assessing changes in facial skin quality using noninvasive in vivo clinical skin imaging techniques after use of a topical retinoid product in subjects with moderate-to-severe photodamage.
Goberdhan LT; Pellacani G; Ardigo M; Schneider K; Makino ET; Mehta RC
Skin Res Technol; 2022 Jul; 28(4):604-613. PubMed ID: 35691012
[TBL] [Abstract][Full Text] [Related]
14. Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning.
Shah M; Roomans Ledo A; Rittscher J
Acta Ophthalmol; 2020 Sep; 98(6):e715-e721. PubMed ID: 31981283
[TBL] [Abstract][Full Text] [Related]
15. Line-Field Confocal Optical Coherence Tomography (LC-OCT) for Skin Imaging in Dermatology.
Latriglia F; Ogien J; Tavernier C; Fischman S; Suppa M; Perrot JL; Dubois A
Life (Basel); 2023 Nov; 13(12):. PubMed ID: 38137869
[TBL] [Abstract][Full Text] [Related]
16. Development of a deep learning algorithm for myopic maculopathy classification based on OCT images using transfer learning.
He X; Ren P; Lu L; Tang X; Wang J; Yang Z; Han W
Front Public Health; 2022; 10():1005700. PubMed ID: 36211704
[TBL] [Abstract][Full Text] [Related]
17. Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning.
Treder M; Lauermann JL; Eter N
Graefes Arch Clin Exp Ophthalmol; 2018 Feb; 256(2):259-265. PubMed ID: 29159541
[TBL] [Abstract][Full Text] [Related]
18. Line-field confocal optical coherence tomography: New insights for psoriasis treatment monitoring.
Orsini C; Trovato E; Cortonesi G; Pedrazzani M; Suppa M; Rubegni P; Tognetti L; Cinotti E
J Eur Acad Dermatol Venereol; 2024 Feb; 38(2):325-331. PubMed ID: 37823360
[TBL] [Abstract][Full Text] [Related]
19. Automated OCT angiography image quality assessment using a deep learning algorithm.
Lauermann JL; Treder M; Alnawaiseh M; Clemens CR; Eter N; Alten F
Graefes Arch Clin Exp Ophthalmol; 2019 Aug; 257(8):1641-1648. PubMed ID: 31119426
[TBL] [Abstract][Full Text] [Related]
20. Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.
Perdomo O; Rios H; Rodríguez FJ; Otálora S; Meriaudeau F; Müller H; González FA
Comput Methods Programs Biomed; 2019 Sep; 178():181-189. PubMed ID: 31416547
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
