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Numerical simulation of turbulent reacting flow in porous media using two macroscopic turbulence models
Nimvari, M.E., Maerefat, M., Jouybari, N.F., El-hossaini, M.K.
Published in Computers & fluids (15.12.2013)
Published in Computers & fluids (15.12.2013)
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Journal Article
A Macroscopic Turbulence Model for Reacting Flow in Porous Media
Jouybari, Nima Fallah, Maerefat, Mehdi, Nimvari, Majid Eshagh
Published in Transport in porous media (01.01.2015)
Published in Transport in porous media (01.01.2015)
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Journal Article
Physics-Constrained Deep Learning for Robust Inverse ECG Modeling
Xie, Jianxin, Yao, Bing
Published in IEEE transactions on automation science and engineering (01.01.2023)
Published in IEEE transactions on automation science and engineering (01.01.2023)
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Journal Article
A Macroscopic Turbulence Model for Reacting Flow in Porous Media
Jouybari, Nima Fallah, Maerefat, Mehdi, Nimvari, Majid Eshagh
Published in Transport in porous media (01.01.2015)
Published in Transport in porous media (01.01.2015)
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Journal Article
Fabrication using a rapid prototyping system and in vitro characterization of PEG-PCL-PLA scaffolds for tissue engineering
Hoque, M. E., Hutmacher, D. W., Feng, W., Li, S., Huang, M.-H., Vert, M., Wong, Y. S.
Published in Journal of biomaterials science. Polymer ed. (01.01.2005)
Published in Journal of biomaterials science. Polymer ed. (01.01.2005)
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Journal Article
Ultrasound image-based deep learning to assist in diagnosing gross extrathyroidal extension thyroid cancer: a retrospective multicenter study
Qi, Qi, Huang, Xingzhi, Zhang, Yan, Cai, Shuangting, Liu, Zhaoyou, Qiu, Taorong, Cui, Zihan, Zhou, Aiyun, Yuan, Xinchun, Zhu, Wan, Min, Xiang, Wu, Yue, Wang, Weijia, Zhang, Chunquan, Xu, Pan
Published in EClinicalMedicine (01.04.2023)
Published in EClinicalMedicine (01.04.2023)
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Journal Article
Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms
Beuque, Manon P. L., Lobbes, Marc B. I., van Wijk, Yvonka, Widaatalla, Yousif, Primakov, Sergey, Majer, Michael, Balleyguier, Corinne, Woodruff, Henry C., Lambin, Philippe
Published in Radiology (01.06.2023)
Published in Radiology (01.06.2023)
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Journal Article
An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer
Gao, Yang, Wang, Weizhen, Yang, Yuan, Xu, Ziting, Lin, Yue, Lang, Ting, Lei, Shangtong, Xiao, Yisheng, Yang, Wei, Huang, Weijun, Li, Yingjia
Published in BMC cancer (12.01.2024)
Published in BMC cancer (12.01.2024)
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Journal Article
A Deep Learning Model Using Chest Radiographs for Prediction of 30-Day Mortality in Patients With Community-Acquired Pneumonia: Development and External Validation
Kim, Changi, Hwang, Eui Jin, Choi, Ye Ra, Choi, Hyewon, Goo, Jin Mo, Kim, Yisak, Choi, Jinwook, Park, Chang Min
Published in American journal of roentgenology (1976) (01.11.2023)
Published in American journal of roentgenology (1976) (01.11.2023)
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Journal Article
Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer
Zhong, Hao, Wang, Tongyu, Hou, Mingyu, Liu, Xiaodong, Tian, Yulong, Cao, Shougen, Li, Zequn, Han, Zhenlong, Liu, Gan, Sun, Yuqi, Meng, Cheng, Li, Yujun, Jiang, Yanxia, Ji, Qinglian, Hao, Dapeng, Liu, Zimin, Zhou, Yanbing
Published in Annals of surgical oncology (01.01.2024)
Published in Annals of surgical oncology (01.01.2024)
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Journal Article
Abstract P4-15-12: Rebastinib in combination with eribulin ablates TIE2-expressing macrophages, reduces metastasis, and increases survival in the PyMT metastatic breast cancer model
Smith, BD, Leary, CB, Kaufman, MD, Hood, MM, Lu, W-P, Turner, BA, Vogeti, S, Wise, SC, Berger, MS, Flynn, DL
Published in Cancer research (Chicago, Ill.) (15.12.2013)
Published in Cancer research (Chicago, Ill.) (15.12.2013)
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Journal Article
Abstract P4-15-13: Rebastinib in combination with paclitaxel ablates TIE2-expressing macrophages, reduces metastasis, and increases survival in the PyMT metastatic breast cancer model
Smith, BD, Leary, CB, Kaufman, MD, Hood, MM, Lu, W-P, Turner, BA, Vogeti, S, Wise, SC, Berger, MS, Flynn, DL
Published in Cancer research (Chicago, Ill.) (15.12.2013)
Published in Cancer research (Chicago, Ill.) (15.12.2013)
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Journal Article
Deep learning for differentiation of osteolytic osteosarcoma and giant cell tumor around the knee joint on radiographs: a multicenter study
Shao, Jingjing, Lin, Hongxin, Ding, Lei, Li, Bing, Xu, Danyang, Sun, Yang, Guan, Tianming, Dai, Haiyang, Liu, Ruihao, Deng, Demao, Huang, Bingsheng, Feng, Shiting, Diao, Xianfen, Gao, Zhenhua
Published in Insights into imaging (07.02.2024)
Published in Insights into imaging (07.02.2024)
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Journal Article
A deep learning risk prediction model for overall survival in patients with gastric cancer: A multicenter study
Zhang, Liwen, Dong, Di, Zhang, Wenjuan, Hao, Xiaohan, Fang, Mengjie, Wang, Shuo, Li, Wuchao, Liu, Zaiyi, Wang, Rongpin, Zhou, Junlin, Tian, Jie
Published in Radiotherapy and oncology (01.09.2020)
Published in Radiotherapy and oncology (01.09.2020)
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Journal Article
A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation
Xie, Xiaoyang, Yang, Lijuan, Zhao, Fengjun, Wang, Dong, Zhang, Hui, He, Xuelei, Cao, Xin, Yi, Huangjian, He, Xiaowei, Hou, Yuqing
Published in European radiology (01.10.2022)
Published in European radiology (01.10.2022)
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Journal Article