Prediction of TACE Treatment Response in a Preoperative MRI via Analysis of Integrating Deep Learning and Radiomics Features von Tian, Yuchi, Komolafe, Temitope Emmanuel, Chen, Tao, Zhou, Bo, Yang, Xiaodong

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Assessing PD-L1 Expression Level via Preoperative MRI in HCC Based on Integrating Deep Learning and Radiomics Features von Tian, Yuchi, Komolafe, Temitope Emmanuel, Zheng, Jian, Zhou, Guofeng, Chen, Tao, Zhou, Bo, Yang, Xiaodong

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Deep multi‐instance transfer learning for pneumothorax classification in chest X‐ray images von Tian, Yuchi, Wang, Jiawei, Yang, Wenjie, Wang, Jun, Qian, Dahong

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A patch-based and multi-instance learning strategy for pneumothorax classification on chest X-rays von Tian, Yuchi, Chang, Yan, Yang, Xiaodong

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MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction von Komolafe, Temitope Emmanuel, Wang, Nizhuan, Tian, Yuchi, Adeniji, Adegbola Oyedotun, Zhou, Liang

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Early Diagnosis of High-Risk Chronic Obstructive Pulmonary Disease Based on Quantitative High-Resolution Computed Tomography Measurements von Zhang, Wenxiu, Zhao, Yu, Tian, Yuchi, Liang, Xiaoyun, Piao, Chenghao

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Geographical distribution of liver cancer incidence based on big data analysis von Tian, Yuchi, Huang, Qian, Jiang, Xiaogang, Chen, Guojie, Zheng, Chongwei, Yang, Xiaodong

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Comparative analysis of cone‐beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms von Komolafe, Temitope Emmanuel, Tian, Yuchi, Awoniya, Olanrewaju James, Chen, Shuang‐Qing, Yang, Xiaodong

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Bringing Engineering Rigor to Deep Learning von Pei, Kexin, Wang, Shiqi, Tian, Yuchi, Whitehouse, Justin, Vondrick, Carl, Cao, Yinzhi, Ray, Baishakhi, Jana, Suman, Yang, Junfeng

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Anti-blocking device for water supply and drainage von TIAN YUCHI

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Understanding Local Robustness of Deep Neural Networks under Natural Variations von Zhong, Ziyuan, Tian, Yuchi, Ray, Baishakhi

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Repairing Group-Level Errors for DNNs Using Weighted Regularization von Zhong, Ziyuan, Tian, Yuchi, Sweeney, Conor J, Ordonez, Vicente, Ray, Baishakhi

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Code Prediction by Feeding Trees to Transformers von Kim, Seohyun, Zhao, Jinman, Tian, Yuchi, Chandra, Satish

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Testing DNN Image Classifiers for Confusion & Bias Errors von Tian, Yuchi, Zhong, Ziyuan, Ordonez, Vicente, Kaiser, Gail, Ray, Baishakhi

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Understanding Local Robustness of Deep Neural Networks under Natural Variations von Zhong, Ziyuan, Tian, Yuchi, Ray, Baishakhi

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DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars von Tian, Yuchi, Pei, Kexin, Jana, Suman, Ray, Baishakhi

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Code Prediction by Feeding Trees to Transformers von Kim, Seohyun, Zhao, Jinman, Tian, Yuchi, Chandra, Satish

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Repairing Group-Level Errors for DNNs Using Weighted Regularization von Zhong, Ziyuan, Tian, Yuchi, Sweeney, Conor J, Ordonez, Vicente, Ray, Baishakhi

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SYSTEM AND METHOD OF MEASURING THE ROBUSTNESS OF A DEEP NEURAL NETWORK von TIAN, Yuchi, PRASAD, Mukul R, SAHA, Ripon K

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DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars von Tian, Yuchi, Pei, Kexin, Suman, Jana, Ray, Baishakhi

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