[1] et alFluorescence spectrometry based chromaticity mapping, characterization, and quantitative assessment of dental caries. Photodiagn. Photodyn. Ther., 37, 102711(2022).

[2] et alNear infrared transillumination compared with radiography to detect and monitor proximal caries: A clinical retrospective study. J. Dent., 70, 40-45(2018).

[3] et alAccuracy of near-infrared light transillumination (NILT) compared to bitewing radiograph for detection of interproximal caries in the permanent dentition: A systematic review and meta-analysis. J. Dent., 98, 103351(2020).

[4] et alAutomated classification of dual channel dental imaging of auto-fluorescence and white lightby convolutional neural networks. J. Innov. Opt. Heal. Sci., 5, 2050014(2020).

[5] Medical hyperspectral imaging: A review. J. Biomed. Opt., 19, 010901(2014).

[6] et alHyperspectral imaging in the medical field: Present and future. Appl. Spectrosc. Rev., 49, 435-447(2014).

[7] A review of the medical hyperspectral imaging systems and unmixing algorithms’ in biological tissues. Photodiagn. Photodyn. Ther., 33, 102165(2021).

[8] et alSpatial-spectral identification of abnormal leukocytes based on microscopic hyperspectral imaging technology. J. Innov. Opt. Heal. Sci., 13, 2050005(2020).

[9] et alNear-infrared hyperspectral imaging of water evaporation dynamics for early detection of incipient caries. J. Dent., 42, 1242-1247(2014).

[10] Laser induced fluorescence with 2-D Hilbert transform edge detection algorithm and 3D fluorescence images for white spot early recognition. Spectrochim. Acta A Mol. Biomol. Spectrosc., 240, 118616(2020).

[11] Design and implementation of novel hyperspectral imaging for dental carious early detection using laser induced fluorescence. Photodiagn. Photodyn. Ther., 24, 166-178(2018).

[12] et alClassification of dental diseases using hyperspectral imaging and laser induced fluorescence. Photodiagn. Photodyn. Ther., 25, 128-135(2019).

[13] et alIdentifying the incidence level of periodontal disease through hyperspectral imaging. Opt. Quantum Electron., 50, 1-14(2018).

[14] Visual perception enhancement for detection of cancerous oral tissue by multi-spectral imaging. J. Opt., 15, 055301(2013).

[15] et alHyperspectral imaging and artificial intelligence to detect oral malignancy - part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network. Head Face Med., 17, 38(2021).

[16] Multimodal hyperspectral fluorescence and spatial frequency domain imaging for tissue health diagnostics of the oral cavity. Biomed. Opt. Exp., 12, 6954-6968(2021).

[17] Optimal lighting of RGB LEDs for oral cavity detection. Opt. Exp., 20, 10186-10199(2012).

[18] et alThe diagnostic efficacy of quantitative light-induced fluorescence in detection of dental caries of primary teeth. J. Dent., 115, 103845(2021).

[19] Optical detection of the potential for tooth discoloration from children’s beverages by quantitative light-induced fluorescence technology. Photodiagn. Photodyn. Ther., 34, 102240(2021).

[20] et alApplication of optical and spectroscopic technologies for the characterization of carious lesions in vitro. Biomed. Tech. (Berl)., 63, 595-602(2018).

[21] HeNe-laser light scattering by human dental enamel. J. Dent. Res., 74, 1891-1898(1995).

[22] Propagation of light through human dental enamel and dentine. Caries Res., 29, 8-13(1995).

[23] et alNature of light scattering in dental enamel and dentin at visible and near-infrared wavelengths. Appl. Opt., 34, 1278-1285(1995).

[24] Near-infared hyperspectral imaging of teeth for dental caries detection. J. Biomed. Opt., 14, 064047(2009).