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, 桑農, 劉海華, 陳心浩. 視覺感知結合學習的自然圖像輪廓檢測. 中國科學: 信息科學, 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*, 劉子儀. 從局部到區域分層的乳腺病理圖像有絲分裂檢測. 中國生物醫學工程學報, 2024. 11.劉子儀, 唐奇伶*, 蔡玉. 任務引導的徑向基網絡對乳腺病理圖像有絲分裂檢測. 電子學報, 2024. 12.葛威, 劉汝璇, 鄭菲, 劉海華, 唐奇伶*. 基于病理區域知識增強阿爾茨海默癥診斷模型. 中國圖象圖形學報, 2024. 13.鄭菲, 唐奇伶*, 劉汝璇, 張美玲, 葛威. 全腦解剖學標志稀疏關聯的阿爾茨海默癥診斷. 中國生物醫學工程學報, 2022, 41(6): 51-59. |