1. Li, H., Ding, H., Huang, D., et al.: An efficient multimodal 2D+3D feature-based approach to automatic facial expression recognition. Comput. Vis. Image Underst. 140(45), 83–92 (2015)
2. Opieliński, K.J., Pruchnicki, P., Szymanowski, P., et al.: Multimodal ultrasound computer-assisted tomography: an approach to the recognition of breast lesions. Comput. Med. Imaging Graph. 39(16), 136–142 (2017)
3. Wu, D., Pigou, L., Kindermans, P.J., et al.: Deep dynamic neural networks for multimodal gesture segmentation and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(8), 1583 (2016)
4. Kominami, Y., Yoshida, S., Tanaka, S., et al.: Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy. Gastrointest. Endosc. 83(3), 643 (2016)
5. Chen, H., Marjoram, P., Foley, B., et al.: Front matter-emerging trends in image processing, computer vision and pattern recognition. Emerg. Trends Image Proces. Comput. Vision Pattern Recog. 9(4), 64–70 (2015)