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(nóng), 劉海華, 陳心浩. 視覺感知結(jié)合學(xué)習(xí)的自然圖像輪廓檢測. 中國科學(xué): 信息科學(xué), 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(qū)域分層的乳腺病理圖像有絲分裂檢測. 中國生物醫(yī)學(xué)工程學(xué)報(bào), 2024. 11.劉子儀, 唐奇伶*, 蔡玉. 任務(wù)引導(dǎo)的徑向基網(wǎng)絡(luò)對乳腺病理圖像有絲分裂檢測. 電子學(xué)報(bào), 2024. 12.葛威, 劉汝璇, 鄭菲, 劉海華, 唐奇伶*. 基于病理區(qū)域知識增強(qiáng)阿爾茨海默癥診斷模型. 中國圖象圖形學(xué)報(bào), 2024. 13.鄭菲, 唐奇伶*, 劉汝璇, 張美玲, 葛威. 全腦解剖學(xué)標(biāo)志稀疏關(guān)聯(lián)的阿爾茨海默癥診斷. 中國生物醫(yī)學(xué)工程學(xué)報(bào), 2022, 41(6): 51-59. |
