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Gradient-aware domain-invariant learning for domain generalization 期刊论文
MULTIMEDIA SYSTEMS, 2025, 卷号: 31, 期号: 1, 页码: 15
作者:  Hou, Feng;  Zhang, Yao;  Liu, Yang;  Yuan, Jin;  Zhong, Cheng;  Zhang, Yang;  Shi, Zhongchao;  Fan, Jianping;  He, Zhiqiang
收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25
Domain shift  Domain generalization  Domain-invariant parameters  Sparse  
DPA-2: a large atomic model as a multi-task learner 期刊论文
NPJ COMPUTATIONAL MATERIALS, 2024, 卷号: 10, 期号: 1, 页码: 15
作者:  Zhang, Duo;  Liu, Xinzijian;  Zhang, Xiangyu;  Zhang, Chengqian;  Cai, Chun;  Bi, Hangrui;  Du, Yiming;  Qin, Xuejian;  Peng, Anyang;  Huang, Jiameng;  Li, Bowen;  Shan, Yifan;  Zeng, Jinzhe;  Zhang, Yuzhi;  Liu, Siyuan;  Li, Yifan;  Chang, Junhan;  Wang, Xinyan;  Zhou, Shuo;  Liu, Jianchuan;  Luo, Xiaoshan;  Wang, Zhenyu;  Jiang, Wanrun;  Wu, Jing;  Yang, Yudi;  Yang, Jiyuan;  Yang, Manyi;  Gong, Fu-Qiang;  Zhang, Linshuang;  Shi, Mengchao;  Dai, Fu-Zhi;  York, Darrin M.;  Liu, Shi;  Zhu, Tong;  Zhong, Zhicheng;  Lv, Jian;  Cheng, Jun;  Jia, Weile;  Chen, Mohan;  Ke, Guolin;  Weinan, E.;  Zhang, Linfeng;  Wang, Han
收藏  |  浏览/下载：7/0  |  提交时间：2025/06/25
Decoupled pyramid correlation network for liver tumor segmentation from CT images 期刊论文
MEDICAL PHYSICS, 2022, 页码: 15
作者:  Zhang, Yao;  Yang, Jiawei;  Liu, Yang;  Tian, Jiang;  Wang, Siyun;  Zhong, Cheng;  Shi, Zhongchao;  Zhang, Yang;  He, Zhiqiang
收藏  |  浏览/下载：58/0  |  提交时间：2022/12/07
attention mechanism  computed tomography  liver segmentation  liver tumor segmentation  
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 202, 页码: 10
作者:  Wang, Yixin;  Zhang, Yao;  Liu, Yang;  Tian, Jiang;  Zhong, Cheng;  Shi, Zhongchao;  Zhang, Yang;  He, Zhiqiang
收藏  |  浏览/下载：68/0  |  提交时间：2021/12/01
COVID-19  CT image  Segmentation  Transfer learning  
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge 期刊论文
MEDICAL IMAGE ANALYSIS, 2021, 卷号: 67, 页码: 16
作者:  Heller, Nicholas;  Isensee, Fabian;  Maier-Hein, Klaus H.;  Hou, Xiaoshuai;  Xie, Chunmei;  Li, Fengyi;  Nan, Yang;  Mu, Guangrui;  Lin, Zhiyong;  Han, Miofei;  Yao, Guang;  Gao, Yaozong;  Zhang, Yao;  Wang, Yixin;  Hou, Feng;  Yang, Jiawei;  Xiong, Guangwei;  Tian, Jiang;  Zhong, Cheng;  Ma, Jun;  Rickman, Jack;  Dean, Joshua;  Stai, Bethany;  Tejpaul, Resha;  Oestreich, Makinna;  Blake, Paul;  Kaluzniak, Heather;  Raza, Shaneabbas;  Rosenberg, Joel;  Moore, Keenan;  Walczak, Edward;  Rengel, Zachary;  Edgerton, Zach;  Vasdev, Ranveer;  Peterson, Matthew;  McSweeney, Sean;  Peterson, Sarah;  Kalapara, Arveen;  Sathianathen, Niranjan;  Papanikolopoulos, Nikolaos;  Weight, Christopher
收藏  |  浏览/下载：76/0  |  提交时间：2021/12/01
Semantic segmentation  Computed tomography  Kidney tumor  
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 51134-51145
作者:  Zhong, Qiaoling;  Zhang, Zhibin;  Qiu, Qiang;  Cheng, Xueqi
收藏  |  浏览/下载：62/0  |  提交时间：2021/12/01
Network pruning  inference acceleration  model compression  multiple GPUs  
结合视觉特征和场景语义的图像描述生成 期刊论文
计算机学报, 2020, 卷号: 43.0, 期号: 009, 页码: 1624
作者:  李志欣;  魏海洋;  黄飞成;  张灿龙;  马慧芳;  史忠植
收藏  |  浏览/下载：34/0  |  提交时间：2023/12/04
图像描述生成  注意机制  场景语义  编码器-解码器框架  强化学习  
A P53-related microRNA model for predicting the prognosis of hepatocellular carcinoma patients 期刊论文
JOURNAL OF CELLULAR PHYSIOLOGY, 2019, 页码: 10
作者:  Fang, Shuang-Sang;  Guo, Jin-Cheng;  Zhang, Jian-Hua;  Liu, Jin-Na;  Hong, Shuai;  Yu, Bo;  Gao, Yuhan;  Hu, Su-Pei;  Liu, Hai-Zhong;  Sun, Liang;  Zhao, Yi
收藏  |  浏览/下载：107/0  |  提交时间：2019/12/10
hepatocellular carcinoma  microRNA  prognostic model  survival  
面向数据流结构的指令映射优化方法 期刊论文
计算机工程与科学, 2019, 卷号: 41.0, 期号: 1.0, 页码: 9
作者:  李易;  常成娟;  卢圣健;  江道忠;  范东睿;  叶笑春
收藏  |  浏览/下载：31/0  |  提交时间：2023/12/04
高性能计算  数据流计算  指令映射  多地址共享数据包  
面向不均衡医学数据集的疾病预测模型研究 期刊论文
计算机学报, 2019, 卷号: 000, 期号: 003, 页码: 596
作者:  陈旭;  刘鹏鹤;  孙毓忠;  沈曦;  张磊;  王晓青;  孙晓平;  程伟
收藏  |  浏览/下载：33/0  |  提交时间：2023/12/04
疾病预测  不均衡数据集  欠采样  二分类  多标签分类