[1] S R ARRIDGE, J C SCHOTLAND. Optical tomography: forward and inverse problems. Inverse Problems, 25, 1541-1548(2009).

[2] H B YEDDER, M SHOKOUFI, B CARDOEN et al. Limited-angle diffuse optical tomography image reconstruction using deep learning, 11764, 66-74(2019).

[3] Jinchao FENG, Shudong JIANG, Junqing XU et al. Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging. Journal of Biomedical Optics, 21, 90506(2016).

[4] Chen CHEN, Fenghua TIAN, Hanli LIU et al. Diffuse optical tomography enhanced by clustered sparsity for functional brain imaging. IEEE Transactions on Medical Imaging, 33, 2323-2331(2014).

[5] S R ARRIDGE. Optical tomography in medical imaging. Inverse Problems, 15, R41-R93(1999).

[6] N CAO, A NEHORAI, M JACOB. Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm. Optics Express, 15, 13695-13708(2007).

[7] B A BROOKSBY, H DEHGHANI, B W POGUE et al. Near-infrared (NIR) tomography breast image reconstruction with a priori structural information from MRI: algorithm development for reconstructing heterogeneities. IEEE Journal of selected Topics in Quantum Electronics, 9, 199-209(2003).

[9] Jinchao FENG, Qiuwan SUN, Zhe LI et al. Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography.. Journal of Biomedical Optics, 24, 051407(2018).

[10] H B YEDDER, A B TAIB, M SHOKOUFI et al. Deep learning based image reconstruction for diffuse optical tomography, 11074, 112-119(2018).

[11] J YOO, S SABIR, D HEO et al. Deep learning diffuse optical tomography. IEEE Transaction on Medical Imaging, 4, 877-887(2020).

[12] M HOSSEINZADEH, O H AHMED, M YGHAFOUR et al. A multiple multilayer perceptron neural network with an adaptive learning algorithm for thyroid disease diagnosis in the internet of medical things. Journal of Supercomputing, 77, 3616-3637(2020).

[13] H DEHGHANI, M E EAMES, P K YALAVARTHY et al. Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction. Communications in Numerical Methods in Engineering, 25, 711-732(2009).

[14] A ALI, Y Y FAN. Unsupervised feature learning and automatic modulation classification using deep learning model. Physical Communication, 25, 75-84(2017).

[15] M OHZEKI. Statistical-mechanical analysis of pre-training and fine tuning in deep learning. Journal of the Physical Society of Japan, 84, 034003(2015).

[16] T A GEDDES, T KIM, L NAN et al. Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis. BMC Bioinformatics, 20, 660-671(2019).

[17] B W POGUE, X SONG, T D TOSTESON et al. Statistical analysis of nonlinearly reconstructed near-infrared tomographic images: Part I-theory and simulations. IEEE Transactions on Medical Imaging, 21, 755-763(2002).

[18] Xiaomei SONG, B W POGUE, T D TOSTESON et al. Statistical analysis of nonlinearly reconstructed near-infrared tomographic images: PartII—experimental interpretation.. IEEE Transactions on Medical Imaging, 21, 764-771(2002).

[19] A P CUADROS, G R ARCE. Coded aperture optimization in compressive X-ray tomography: a gradient descent approach. Optics Express, 25, 23833-23849(2017).