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Ge Wang

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Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography

Nov 12, 2021
Hongming Shan, Rodrigo de Barros Vimieiro, Lucas Rodrigues Borges, Marcelo Andrade da Costa Vieira, Ge Wang

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Expressivity and Trainability of Quadratic Networks

Oct 12, 2021
Feng-Lei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang

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A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images

Oct 07, 2021
Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre, Umit Topaloglu, Richard Barcus, Michael D. Chan, Christina K. Cramer, Waldemar Debinski, Metin N. Gurcan, Glenn J. Lesser, Hui-Kuan Lin, Reginald F. Munden, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow

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Debiased Graph Contrastive Learning

Oct 05, 2021
Jun Xia, Lirong Wu, Jintao Chen, Ge Wang, Stan Z. Li

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Disrupting Adversarial Transferability in Deep Neural Networks

Aug 27, 2021
Christopher Wiedeman, Ge Wang

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Stationary Multi-source AI-powered Real-time Tomography (SMART) for Dynamic Cardiac Imaging

Aug 27, 2021
Weiwen Wu, Yaohui Tang, Tianling Lv, Chuang Niu, Cheng Wang, Yiyan Guo, Yunheng Chang, Ge Wang, Yan Xi

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Cross-modal Attention for MRI and Ultrasound Volume Registration

Jul 12, 2021
Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan

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AI-Enabled Ultra-Low-Dose CT Reconstruction

Jun 17, 2021
Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannu Kalra, Ge Wang

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GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification

May 25, 2021
Haoyuan Chen, Chen Li, Xiaoyan Li, Ge Wang, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Yueyang Teng, Marcin Grzegorzek

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