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Jing Wang

Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, Dallas TX 75235, USA

MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering


Nov 11, 2022
Shanshan Song, Jiangyun Li, Jing Wang, Yuanxiu Cai, Wenkai Dong

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Modified EDAS Method Based on Cumulative Prospect Theory for Multiple Attributes Group Decision Making with Interval-valued Intuitionistic Fuzzy Information


Nov 05, 2022
Jing Wang, Qiang Cai, Guiwu Wei, Ningna Liao

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* 48 pages 
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Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective


Oct 02, 2022
Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David Sher, Steve Jiang, Jing Wang

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* 12 pages, 5 figures 
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Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers


Sep 22, 2022
Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, Jing Wang

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* MICCAI 2022, HECKTOR Challenge Submission 
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Towards reliable head and neck cancers locoregional recurrence prediction using delta-radiomics and learning with rejection option


Aug 30, 2022
Kai Wang, Michael Dohopolski, Qiongwen Zhang, David Sher, Jing Wang

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* 25 pages, 5 figures, submitted to Medical Physics 10/21/2021 
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A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation


Aug 23, 2022
Shu Tang, Yang Wu, Hongxing Qin, Xianzhong Xie, Shuli Yang, Jing Wang

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* 13 pages,8 figures 
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Content-oriented learned image compression


Aug 01, 2022
Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang

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* ECCV2022 
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AlphaVC: High-Performance and Efficient Learned Video Compression


Jul 29, 2022
Yibo Shi, Yunying Ge, Jing Wang, Jue Mao

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* ECCV2022 
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Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug Labeling to Enhance Product-Specific Guidance Assessment


Jul 25, 2022
Yiwen Shi, Jing Wang, Ping Ren, Taha ValizadehAslani, Yi Zhang, Meng Hu, Hualou Liang

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* 21 pages, 11 figures 
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Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data


Jul 22, 2022
Taha ValizadehAslani, Yiwen Shi, Jing Wang, Ping Ren, Yi Zhang, Meng Hu, Liang Zhao, Hualou Liang

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* 20 pages, 6 figures 
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