Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jisu Hu"'
Autor:
Chunxing Li, Jisu Hu, Zhiyuan Zhang, Chaogang Wei, Tong Chen, Ximing Wang, Yakang Dai, Junkang Shen
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objectives Exploring the value of adding correlation analysis (radiomic features (RFs) of pelvic metastatic lymph nodes and primary lesions) to screen RFs of primary lesions in the feature selection process of establishing prediction model.
Externí odkaz:
https://doaj.org/article/571789c0b6fc4abcbaba077adb74134c
Publikováno v:
BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-22 (2023)
Abstract Deformable multimodal image registration plays a key role in medical image analysis. It remains a challenge to find accurate dense correspondences between multimodal images due to the significant intensity distortion and the large deformatio
Externí odkaz:
https://doaj.org/article/9370730baf0e45cab29c9c5d04f33289
Autor:
Zhiyong Zhou, Xusheng Qian, Jisu Hu, Chen Geng, Yongsheng Zhang, Xin Dou, Tuanjie Che, Jianbing Zhu, Yakang Dai
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
ObjectiveThis study aimed to evaluate the effectiveness of multi-phase-combined contrast-enhanced CT (CECT) radiomics methods for noninvasive Fuhrman grade prediction of clear cell renal cell carcinoma (ccRCC).MethodsA total of 187 patients with four
Externí odkaz:
https://doaj.org/article/7b99a0dc01064ea0866b73a77001baf4
Autor:
Jinjin Liu, Xuchao Wang, Mengshang Hu, Yan Zheng, Lin Zhu, Wei Wang, Jisu Hu, Zhiyong Zhou, Yakang Dai, Fenglin Dong
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveTo develop and validate a radiomics nomogram that could incorporate clinicopathological characteristics and ultrasound (US)-based radiomics signature to non-invasively predict Ki-67 expression level in patients with breast cancer (BC) preope
Externí odkaz:
https://doaj.org/article/449607077afc4659bb3dd1a8d9efde46
Autor:
Tong Chen, Zhiyuan Zhang, Shuangxiu Tan, Yueyue Zhang, Chaogang Wei, Shan Wang, Wenlu Zhao, Xusheng Qian, Zhiyong Zhou, Junkang Shen, Yakang Dai, Jisu Hu
Publikováno v:
Frontiers in Oncology, Vol 11 (2022)
PurposeTo compare the performance of radiomics to that of the Prostate Imaging Reporting and Data System (PI-RADS) v2.1 scoring system in the detection of clinically significant prostate cancer (csPCa) based on biparametric magnetic resonance imaging
Externí odkaz:
https://doaj.org/article/14c65a1319ac41a89cb630b34eba6b43
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-17 (2018)
Abstract A new accurate and robust non-rigid point set registration method, named DSMM, is proposed for non-rigid point set registration in the presence of significant amounts of missing correspondences and outliers. The key idea of this algorithm is
Externí odkaz:
https://doaj.org/article/c343247361e44211823689f58ededbaf
Autor:
Jisu Hu, Ming Li, Yakang Dai, Chen Geng, Baotong Tong, Zhiyong Zhou, Xue Liang, Wen Yang, Bing Zhang
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-11 (2018)
Abstract Background In diffusion-weighted magnetic resonance imaging (DWI) using single-shot echo planar imaging (ss-EPI), both reduced field-of-view (FOV) excitation and sensitivity encoding (SENSE) alone can increase in-plane resolution to some deg
Externí odkaz:
https://doaj.org/article/01e395c00993448ab74f5f865e781c2d
Autor:
Jisu Hu, Wenbo Wu, Bin Zhu, Huiting Wang, Renyuan Liu, Xin Zhang, Ming Li, Yongbo Yang, Jing Yan, Fengnan Niu, Chuanshuai Tian, Kun Wang, Haiping Yu, Weibo Chen, Suiren Wan, Yu Sun, Bing Zhang
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0157095 (2016)
[This corrects the article DOI: 10.1371/journal.pone.0153369.].
Externí odkaz:
https://doaj.org/article/dd05a9baebb6488bb596a5db5ebfb3ae
Autor:
Jisu Hu, Wenbo Wu, Bin Zhu, Huiting Wang, Renyuan Liu, Xin Zhang, Ming Li, Yongbo Yang, Jing Yan, Fengnan Niu, Chuanshuai Tian, Kun Wang, Haiping Yu, Weibo Chen, Suiren Wan, Yu Sun, Bing Zhang
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0153369 (2016)
Many modalities of magnetic resonance imaging (MRI) have been confirmed to be of great diagnostic value in glioma grading. Contrast enhanced T1-weighted imaging allows the recognition of blood-brain barrier breakdown. Perfusion weighted imaging and M
Externí odkaz:
https://doaj.org/article/b78f201a2ef9419ba01214381bf2135d
Autor:
Ao Shen, Jisu Hu, Pengfei Jin, Zhiyong Zhou, Xusheng Qian, Yi Zheng, Jie Bao, Ximing Wang, Yakang Dai
Publikováno v:
Journal of Shanghai Jiaotong University (Science).