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Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer : A multicenter study 期刊论文
BREAST, 2022, 卷号: 66, 页码: 183-190
作者:  Li, Bao;  Li, Fengling;  Liu, Zhenyu;  Xu, FangPing;  Ye, Guolin;  Li, Wei;  Zhang, Yimin;  Zhu, Teng;  Shao, Lizhi;  Chen, Chi;  Sun, Caixia;  Qiu, Bensheng;  Bu, Hong;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载：249/0  |  提交时间：2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
Disturbance Rejection Control for Underwater Free-Floating Manipulation 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 卷号: 27, 期号: 5, 页码: 3742 - 3750
作者:  Lv, Jiaqi;  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Xu, Wenxing;  Wang, Rui;  Tan, Min
Adobe PDF(10105Kb)  |  收藏  |  浏览/下载：307/30  |  提交时间：2022/01/27
Disturbance observer-based control (DOBC)  fast arctangent nonsingularity terminal sliding mode controller (FANTSMC)  underwater biomimetic vehicle-manipulator system (UBVMS)  underwater manipulation  Estimation  
Double-branch U-Net for multi-scale organ segmentation 期刊论文
METHODS, 2022, 卷号: 205, 页码: 220-225
作者:  Liu, Yuhao;  Qin, Caijie;  Yu, Zhiqian;  Yang, Ruijie;  Suqing, Tian;  Liu, Xia;  Ma, Xibo
收藏  |  浏览/下载：247/0  |  提交时间：2022/09/19
Multi -scale segmentation  Organ segmentation  Medical image  
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images 期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:  Zhang, Liwen;  Zhong, Lianzhen;  Li, Cong;  Zhang, Wenjuan;  Hu, Chaoen;  Dong, Di;  Liu, Zaiyi;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：296/0  |  提交时间：2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural network  
Temporal-adaptive sparse feature aggregation for video object detection 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 127, 页码: 108587
作者:  He, Fei;  Li, Qiaozhe;  Zhao, Xin;  Huang, Kaiqi
Adobe PDF(1549Kb)  |  收藏  |  浏览/下载：304/42  |  提交时间：2022/06/10
Video object detection  Temporal-adaptive sparse sampling  Pixel-adaptive aggregation  Object-relational aggregation  
Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? 期刊论文
JOURNAL OF DIGITAL IMAGING, 2022, 页码: 12
作者:  Hu, Shasha;  Zhu, Yongbei;  Dong, Di;  Wang, Bei;  Zhou, Zuofu;  Wang, Chi;  Tian, Jie;  Peng, Yun
收藏  |  浏览/下载：209/0  |  提交时间：2022/07/25
Chest radiographs  Convolution neural network  Community-acquired pneumonia  Pediatric  Etiology  
The potential of prostate gland radiomic features in identifying the Gleason score 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 144, 页码: 11
作者:  Gong, Lixin;  Xu, Min;  Fang, Mengjie;  He, Bingxi;  Li, Hailin;  Fang, Xiangming;  Dong, Di;  Tian, Jie
收藏  |  浏览/下载：258/0  |  提交时间：2022/07/25
MRI  Radiomics  Prostate cancer  Gleason score  Gland segmentation  
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei;  Tang, Lin-Quan;  Dong, Di;  Tian, Jie;  Mai, Hai-Qiang
Adobe PDF(1720Kb)  |  收藏  |  浏览/下载：313/45  |  提交时间：2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning  
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载：322/39  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 216, 页码: 13
作者:  Zhu, Lin;  Zhang, Lingling;  Hu, Wenxing;  Chen, Haixu;  Li, Han;  Wei, Shoushui;  Chen, Xuzhu;  Ma, Xibo
收藏  |  浏览/下载：213/0  |  提交时间：2022/06/06
Craniopharyngioma  MRI Imaging  Deep learning  Invasiveness diagnosis  Lesion segmentation