no code implementations • 5 Nov 2024 • Bin Huang, Siyu Wang, Yuanpeng Chen, Yidan Wu, Hui Song, Zifan Ding, Jing Leng, Chengpeng Liang, Peng Xue, Junliang Zhang, Tiankun Zhao
This technical report outlines the methodologies we applied for the PRCV Challenge, focusing on cognition and decision-making in driving scenarios.
no code implementations • 16 Jul 2023 • Lei Ma, Peng Xue, Yuning Gu, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen
This study presents a novel framework for accurate prediction of missing teeth in different patterns, facilitating digital implant planning.
no code implementations • 7 Apr 2023 • Lei Ma, Jingyang Zhang, Ke Deng, Peng Xue, Zhiming Cui, Yu Fang, Minhui Tang, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen
In this study, we develop an unbiased dental template by constructing an accurate dental atlas from CBCT images with guidance of teeth segmentation.
no code implementations • 8 Mar 2023 • Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liua, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen
In addition, such paired organ segmentations are not always available in DCE-CT images due to the flow of contrast agents.
no code implementations • 7 Jul 2022 • Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen
Multi-modal medical image completion has been extensively applied to alleviate the missing modality issue in a wealth of multi-modal diagnostic tasks.
no code implementations • 14 Jun 2022 • Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen
In clinical practice, a segmentation network is often required to continually learn on a sequential data stream from multiple sites rather than a consolidated set, due to the storage cost and privacy restriction.