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Simultaneous neural spike encoding and decoding based on cross-modal dual deep generative model 会议论文
, Glasgow, United Kingdom, 2020/7/19
作者:  Qiongyi Zhou;  Changde Du;  Dan Li;  Haibao Wang;  Jian K. Liu;  Huiguang He
Adobe PDF(4135Kb)  |  收藏  |  浏览/下载：107/43  |  提交时间：2023/05/05
Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study 期刊论文
CANCER, 2022, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu;  He, Chang;  Wang, Jing;  Wang, Baohua;  Yang, Xin;  Wang, Kun;  Tian, Jie;  Jiang, Tian'an
收藏  |  浏览/下载：71/0  |  提交时间：2023/03/20
breast cancer  deep learning  lymph node metastasis  neoadjuvant chemotherapy  pathologic complete response  treatment decision  ultrasonography  
Neural Encoding and Decoding with a Flow-based Invertible Generative Model 期刊论文
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2023, 卷号: 15, 期号: 2, 页码: 724-736
作者:  Qiongyi Zhou;  Changde Du;  Dan Li;  Haibao Wang;  Jian K. Liu;  Huiguang He
Adobe PDF(2505Kb)  |  收藏  |  浏览/下载：215/77  |  提交时间：2023/01/17
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：249/45  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9
作者:  Qian, Lang;  Lv, Zhikun;  Zhang, Kai;  Wang, Kun;  Zhu, Qian;  Zhou, Shichong;  Chang, Cai;  Tian, Jie
Adobe PDF(743Kb)  |  收藏  |  浏览/下载：294/61  |  提交时间：2021/04/21
Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging  
Intelligence and Security Informatics 专著章节/文集论文
出自: Lecture Notes in Computer Science, No. 5075, GER, GER, GER, GER, GER, GER, GER, GER, GER, GER, GER, GER, GER, GER, GER, GER:Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, 2008
作者:  Yang, C.;  Chen, H.;  Chau, M.;  Chang, K.;  Lang, S.-D.;  Chen, P.;  Hsieh, R.;  Zeng, D.;  F. Y. Wang;  Carley, K.;  Mao, W.;  Zhan, J.
收藏  |  浏览/下载：210/0  |  提交时间：2017/07/16
Efficient Multiple Feature Fusion With Hashing for Hyperspectral Imagery Classification: A Comparative Study 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 8, 页码: 4461-4478
作者:  Zhong, Zisha;  Fan, Bin;  Ding, Kun;  Li, Haichang;  Xiang, Shiming;  Pan, Chunhong;  zszhong@nlpr.ia.ac.cn
浏览  |  Adobe PDF(4943Kb)  |  收藏  |  浏览/下载：413/124  |  提交时间：2016/12/26
Binary Codes  Classification  Feature Fusion  Hashing  Hyperspectral Images  
Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning 期刊论文
Scientific World Journal, 2015, 期号: 2014, 页码: 1-15
作者:  Xu Y(徐元);  Ding Kun;  Huo Chunlei;  Zhong Zisha;  Li Haichang;  Pan Chunhong;  Xu Yuan
Adobe PDF(16412Kb)  |  收藏  |  浏览/下载：225/30  |  提交时间：2016/06/23
Change Detection  
An improved particle swarm algorithm and its application to power system transfer capability optimization 期刊论文
COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS, 2006, 卷号: 4115, 页码: 93-99
作者:  Peng, Si-jun;  Zhang, Chang-hua;  Tang, Liang;  Li, K;  Irwin, GW;  Huang, DS
收藏  |  浏览/下载：146/0  |  提交时间：2015/11/08
Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 8, 页码: 1660-1664
作者:  Li, Haichang;  Xiang, Shiming;  Zhong, Zisha;  Ding, Kun;  Pan, Chunhong;  haichang516@gmail.com
浏览  |  Adobe PDF(526Kb)  |  收藏  |  浏览/下载：278/55  |  提交时间：2015/09/17
Clustering  Feature Selection  Hyperspectral  Spatial-spectral