一、個人基本介紹
譚超群,四川大學工學博士/博士后,碩士生導師,長期從事中藥及飲片性狀智能評價、醫(yī)學圖像處理、多模態(tài)與人工智能等方面的研究教學工作,對深度學習醫(yī)工交叉領域研究有著非常豐富的經(jīng)驗。近年來先后主持國家自然科學基金1項,主研和參與國家科技部重點研發(fā)專項1項,省部級相關項目4項,公開發(fā)表研究論文20余篇,其中以第一作者身份發(fā)表學術論文10余篇,申請國家發(fā)明專利2項,軟著1項。郵箱18380161804@163.com,chaoquntan123@gmail.com。
二、部分論文
(1) Tan C, Xie D, et al. Identification of Different Bile Species and Fermentation Times of Bile Arisaema Based on an Intelligent E-Nose and Least Squares Support Vector Machine[J]. Analytical Chemistry, 2018, 90: 3460-3466.(中科院一區(qū),IF=7.4)
(2) Tan C, Long T. Identification on Traditional Chinese Medicine via visual feature-based Improved Masked Autoencoder. Plant Methods. 2024, 20, 81.(中科院二區(qū),IF=5.1)
(3) Tan C, Qin Z, et al. Semi-supervised Latent Diffusion Model for Biliary Atresia Class-imbalanced Image Recognition[J]. Biomedical Signal Processing & Control. 2024, 94, 106363.(中科院二區(qū),IF=5.1)
(4) Tan C, Yang M, et al. A selective kernel-based cycle-consistent generative adversarial network for unpaired low-dose CT denoising[J]. Precision Clinical Medicine, 2022, 2. (IF=5.3)
(5) Tan C, Wu C, et al. Identification of different species of Zanthoxyli Pericarpium based on convolution neural network[J]. Plos One, 2020, 15.
(6) Tan C, Wu C, et al. Visual feature-based improved EfficientNet-GRU for Fritillariae Cirrhosae Bulbus identification. Multimedia tools and application, 2024, 2: 83.
(7) Tan C, Long T, et al. Multi-view anal fistula disease diagnosis based on local enhancement and global fusion via MRI, ICVISP 2023, China.
(8) 譚超群, 游志勝, 等. 基于多尺度特征深度神經(jīng)網(wǎng)絡的不同產(chǎn)地山楂細粒度圖像識別[J]. 四川大學學報:自然科學版, 2024, 61: 013003.(北核)
(9) 譚超群, 溫川飆, 等. 基于圖像處理技術的中藥飲片識別研究[J]. 時珍國醫(yī)國藥, 2018, 29: 1706-1709.(北核)
(10) 譚超群, 解達帥, 等. 基于大數(shù)據(jù)技術的中藥飲片外觀性狀與內(nèi)在成分數(shù)據(jù)的研究與應用[J]. 中國藥房, 2018, 29: 2287-2290.(北核)