1.Tang Qiling, Cai Yu. Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images. Medical Image Analysis, 2024. 2.Tang Qiling, Lu Yuhong, Cai Bilian, Wang Yan. Functional connectivity networks with latent distributions for mild cognitive impairment identification. Journal of Digital Imaging, 2023, 36: 2113-2124. 3.Tang Qiling, Sang Nong, Liu Haihua. Learning nonclassical receptive field modulation for contour detection. IEEE Transactions on Image Processing, 2020, 29: 1192-1203. 4.Liu Haihua, Shu Na, Tang Qiling, Zhang Wensheng. Computational model based on neural network of visual cortex for human action recognition, IEEE Trans. Neural Networks and Learning Systems, 2018, 29(5): 1427-1440. 5.Tang Qiling, Liu Yangyang, Liu Haihua. Medical image classification via multiscale representation learning. Artificial Intelligence in Medicine, 2017, 79: 71-78. 6.Tang Qiling, Sang Nong, Liu Haihua. Contrast-dependent surround suppression models for contour detection. Pattern Recognition, 2016, 60: 51-61. 7.唐奇伶, 桑农, 刘海华, 陈心浩. 视觉感知结合学习的自然图像轮廓检测. 中国科学: 信息科学, 2013, 43(9): 1124-1135. 8.Tang Qiling, Sang Nong, Zhang Tianxu. Extraction of salient contours from cluttered scenes. Pattern Recognition, 2007, 40(11): 3100-3109. 9.Liu Ziyi#, Cai Yu#, Tang Qiling*. Nuclei detection in breast histopathology images with iterative correction. Medical & Biological Engineering & Computing, 2024. 10.蔡玉, 唐奇伶*, 刘子仪. 从局部到区域分层的乳腺病理图像有丝分裂检测. 中国生物医学工程学报, 2024. 11.刘子仪, 唐奇伶*, 蔡玉. 任务引导的径向基网络对乳腺病理图像有丝分裂检测. 电子学报, 2024. 12.葛威, 刘汝璇, 郑菲, 刘海华, 唐奇伶*. 基于病理区域知识增强阿尔茨海默症诊断模型. 中国图象图形学报, 2024. 13.郑菲, 唐奇伶*, 刘汝璇, 张美玲, 葛威. 全脑解剖学标志稀疏关联的阿尔茨海默症诊断. 中国生物医学工程学报, 2022, 41(6): 51-59. |