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ORCIDJie Tian 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation: Xidian University, Life Science Center, Xi'an, China
- affiliation (1994 - 1996): University of Pennsylvania, Medical Image Processing Group, Philadelphia, PA, USA
- affiliation (PhD 1993): Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Jie Tian — disambiguation page
- Jie Tian 0002 — New Jersey Institute of Technology, Department of Computer Science, Newark, NJ, USA
- Jie Tian 0003
![[0000-0002-1791-2079]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1791-2079")
— Qilu University of Technology, Shandong Academy of Sciences, Jinan, China (and 1 more) - Jie Tian 0004 — Shandong Womens University, School of Information Technology, Jinan, China (and 1 more)
- Jie Tian 0005 — China Academy of Engineering Physics, CAEP, Institute of Electronic Engineering, Mianyang, China
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2020 – today
- 2024
[j168]Jiaxuan Wen, Yu An, Lizhi Shao, Lin Yin, Zhengyao Peng, Yanjun Liu, Jie Tian, Yang Du:
Dual-channel end-to-end network with prior knowledge embedding for improving spatial resolution of magnetic particle imaging. Comput. Biol. Medicine 178: 108783 (2024)- [j167]Yusong Shen, Liwen Zhang, Hui Hui, Lishuang Guo, Tan Wang, Guanyu Yang, Jie Tian:
A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality. Comput. Methods Programs Biomed. 252: 108250 (2024) - [j166]Yongbei Zhu, Shuo Wang, He Yu, Weimin Li, Jie Tian:
SFPL: Sample-specific fine-grained prototype learning for imbalanced medical image classification. Medical Image Anal. 97: 103281 (2024) - [j165]Guanghui Li, Yanjun Liu, Zhumei Qian, Fei Xiong, Siao Lei, Yuan Feng, Jiaqian Li, Yang Du, Jie Tian, Yu An:
Fast System Matrix Generation Based on Single Angle Calibration in Open-Sided Field Free Line Magnetic Particle Imaging. IEEE Trans. Biomed. Eng. 71(4): 1209-1218 (2024) - [j164]Siao Lei, Jie He, Xiazi Huang, Hui Hui, Yu An, Jie Tian:
A Novel Local Magnetic Fluid Hyperthermia Based on High Gradient Field Guided by Magnetic Particle Imaging. IEEE Trans. Biomed. Eng. 71(8): 2528-2536 (2024) - [j163]Yaxin Shang, Jie Liu, Yanjun Liu, Yueqi Wang, Yusong Shen, Xiangjun Wu, Liwen Zhang, Hui Hui, Jie Tian:
Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging. IEEE Trans. Computational Imaging 10: 196-207 (2024) - [j162]Zechen Wei, Yanjun Liu, Tao Zhu, Xin Yang, Jie Tian, Hui Hui:
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1322-1336 (2024) - [j161]Jie He, Haoran Zhang, Siao Lei, Guanghui Li, Yimeng Li, Tao Zhu, Zhumei Qian, Fei Xiong, Yuan Feng, Yu An, Jie Tian:
Sequential Scan-Based High-Resolution 3-D Open-Sided Magnetic Particle Imaging System. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j160]Lei Li, Yidong Liao, Qibin Wang, Zhonghao Zhang, Dawei Ge, Jiawei Hu, Ning He, Yanjun Liu, Chenxiao Xu, Yunpeng Gao, Pengyue Guo, Hui Hui, Xin Feng, Shouping Zhu, Jie Tian:
Transverse MNP Signal-Based Isotropic Imaging for Magnetic Particle Imaging. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j159]Yimeng Li, Guanghui Li, Peng Zhang, Yu An, Hui Hui, Jie Tian:
Modified Jiles-Atherton Model-Based System Matrix Generation Method for Magnetic Particle Imaging. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j158]Yanjun Liu, Xin Feng, Sijia Liu, Lei Li, Xing-Yao Huang, Mengjiao He, Cheng-Feng Qin, Hui Hui, Jie Tian:
Peak Shift in Field-Swept Magnetic Particle Spectroscopy: A Novel Sensing Metric for Magnetic Nanoparticle Bioassays. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j157]Zechen Wei, Yanjun Liu, Sijia Liu, Xiaomei Yu, Haoran Zhang, Tao Zhu, Bo Zhang, Yali Zhang, Hongdi Huang, Yang Fan, Hongli Li, Jianhong Wang, Jie Tian, Hui Hui:
First Nonhuman Primate-Sized Magnetic Particle Imaging System Based on Digital-Scanned Focus Field. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j156]Tao Zhu, Lin Yin, Jie He, Zechen Wei, Xin Yang, Jie Tian, Hui Hui:
Accurate Concentration Recovery for Quantitative Magnetic Particle Imaging Reconstruction via Nonconvex Regularization. IEEE Trans. Medical Imaging 43(8): 2949-2959 (2024) - [j155]Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou:
CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis. Vis. Comput. Ind. Biomed. Art 7(1): 1 (2024) - [c164]Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. AAAI 2024: 3000-3008 - [c163]Xiangjun Wu, Hui Hui, Jingying Jiang, Jie Tian:
Dual Domain Self-Supervised Learning Framework for Limited View Reconstruction in Projection Magnetic Particle Imaging. ISBI 2024: 1-5 - [c162]Fan Yang, Liwen Zhang, Jiaxin Zhang, Zechen Wei, Xin Yang, Jie Tian, Hui Hui:
Multi-Scale Adaptive Transformer for Image Deblurring in Magnetic Particle Imaging. ISBI 2024: 1-5 - [i7]Liwen Zhang, Lianzhen Zhong, Fan Yang, Di Dong, Hui Hui, Jie Tian:
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis. CoRR abs/2401.02708 (2024) - 2023
- [j154]Jie Tian, Xiaolei Chang, Zhengjian Chen, Zhenzhou Wu, Ruiyu Chen, Chenxi Li, Chen Xu:
Study on QoS Routing Optimization Algorithms for Smart Ocean Networks. IEEE Access 11: 86489-86508 (2023) - [j153]Xiaolei Chang, Jie Tian, Runsu Zhu, Zhenzhou Wu, Chenxi Li, Yong Jiang:
Toward an Efficient and Dynamic Allocation of Radio Access Network Slicing Resources for 5G Era. IEEE Access 11: 95037-95050 (2023) - [j152]Xun Chen, Zhengjian Chen, Xiaolei Chang, Jie Tian, Zhenzhou Wu, Chenxi Li:
Fast Reroute Algorithms for Satellite Network With Segment Routing. IEEE Access 11: 133509-133520 (2023) - [j151]Huiling Peng, Zechen Wei, Yimeng Li, Tao Zhu, Tan Wang, Zhan Fan, Xin Yang, Jie Tian, Hui Hui:
Multi-scale dual domain network for nonlinear magnetization signal filtering in magnetic particle imaging. Biomed. Signal Process. Control. 85: 104863 (2023) - [j150]Xiangjun Wu, Pengli Gao, Peng Zhang, Yaxin Shang, Bingxi He, Liwen Zhang, Jingying Jiang, Hui Hui, Jie Tian:
Cross-domain knowledge transfer based parallel-cascaded multi-scale attention network for limited view reconstruction in projection magnetic particle imaging. Comput. Biol. Medicine 158: 106809 (2023) - [j149]Jiaxin Zhang, Zechen Wei, Xiangjun Wu, Yaxin Shang, Jie Tian, Hui Hui:
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework. Comput. Biol. Medicine 165: 107461 (2023) - [j148]Lidan Fu, Binchun Lu, Jie Tian, Zhenhua Hu:
PSSGAN: Towards spectrum shift based perceptual quality enhancement for fluorescence imaging. Comput. Medical Imaging Graph. 107: 102216 (2023) - [j147]Hailin Li, Siwen Wang, Bo Liu, Mengjie Fang, Runnan Cao, Bingxi He, Shengyuan Liu, Chaoen Hu, Di Dong, Ximing Wang, Hexiang Wang, Jie Tian:
A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks 164: 455-463 (2023) - [j146]Daxiang Yan, Yu An, Guanghui Li, Jiaqian Li, Yang Du, Jie Tian:
High-Resolution Reconstruction of FMT Based on Elastic Net Optimized by Relaxed ADMM. IEEE Trans. Biomed. Eng. 70(1): 296-306 (2023) - [j145]Yimeng Li, Hui Hui, Peng Zhang, Jing Zhong, Lin Yin, Haoran Zhang, Bo Zhang, Yu An, Jie Tian:
Modified Jiles-Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging. IEEE Trans. Biomed. Eng. 70(7): 2035-2045 (2023) - [j144]Xiaojing Shi, Lishuang Guo, Jiangang Liu, Jie Tian, Zhenhua Hu:
NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method. IEEE Trans. Biomed. Eng. 70(8): 2258-2269 (2023) - [j143]Peng Zhang, Jie Liu, Yimeng Li, Lin Yin, Yu An, Jing Zhong, Hui Hui, Jie Tian:
Dual-Feature Frequency Component Compression Method for Accelerating Reconstruction in Magnetic Particle Imaging. IEEE Trans. Computational Imaging 9: 289-297 (2023) - [j142]Zhe Li, Shuo Wang, He Yu, Yongbei Zhu, Qingxia Wu, Liusu Wang, Zhangjie Wu, Yuncui Gan, Weimin Li, Bensheng Qiu, Jie Tian:
A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 330-341 (2023) - [j141]Lin Yin, Wei Li, Zhongwei Bian, Ziwei Chen, Yanjun Liu, Jing Zhong, Shuixing Zhang, Yang Du, Hui Hui, Jie Tian:
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j140]Haoran Zhang, Bo Zhang, Xin Feng, Yingqian Zhang, Yundai Chen, Hui Hui, Jie Tian:
Rapid Viscosity Measurement Using Arbitrary Frequency Magnetic Particle Spectrometer. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j139]Anqi Xiao, Biluo Shen, Jie Tian, Zhenhua Hu:
Differentiable RandAugment: Learning Selecting Weights and Magnitude Distributions of Image Transformations. IEEE Trans. Image Process. 32: 2413-2427 (2023) - [j138]Tong Tong, Dongyang Li, Jionghui Gu, Guo Chen, Guotao Bai, Xin Yang, Kun Wang, Tian'an Jiang, Jie Tian:
Dual-Input Transformer: An End-to-End Model for Preoperative Assessment of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Ultrasonography. IEEE J. Biomed. Health Informatics 27(1): 251-262 (2023) - [j137]Xiangyu Liu, Zhenyu Liu, Ye Yan, Kai Wang, Aodi Wang, Xiongjun Ye, Liwei Wang, Wei Wei, Bao Li, Caixia Sun, Wei He, Xuehua Zhu, Zenan Liu, Jiangang Liu, Jian Lu, Jie Tian:
Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach. IEEE J. Biomed. Health Informatics 27(4): 1780-1789 (2023) - [j136]Zheling Meng, Yangyang Zhu, Wenjing Pang, Jie Tian, Fang Nie, Kun Wang:
MSMFN: An Ultrasound Based Multi-Step Modality Fusion Network for Identifying the Histologic Subtypes of Metastatic Cervical Lymphadenopathy. IEEE Trans. Medical Imaging 42(4): 996-1008 (2023) - [j135]Gen Shi, Lin Yin, Yu An, Guanghui Li, Liwen Zhang, Zhongwei Bian, Ziwei Chen, Haoran Zhang, Hui Hui, Jie Tian:
Progressive Pretraining Network for 3D System Matrix Calibration in Magnetic Particle Imaging. IEEE Trans. Medical Imaging 42(12): 3639-3650 (2023) - [j134]Hailin Li, Weiyuan Huang, Siwen Wang, Priya S. Balasubramanian, Gang Wu, Mengjie Fang, Xuebin Xie, Jie Zhang, Di Dong, Jie Tian, Feng Chen:
Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma. Vis. Comput. Ind. Biomed. Art 6(1): 23 (2023) - [c161]Huiling Peng, Yimeng Li, Xin Yang, Jie Tian, Hui Hui:
Self-supervised Signal Denoising for Magnetic Particle Imaging. EMBC 2023: 1-4 - [c160]Tan Wang, Liwen Zhang, Zechen Wei, Yusong Shen, Jie Tian, Hui Hui:
Content-Noise Feature Fusion Neural Network for Image Denoising in Magnetic Particle Imaging. EMBC 2023: 1-4 - [c159]Dandan Shan, Zihan Li, Wentao Chen, Qingde Li, Jie Tian, Qingqi Hong:
Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment. ICASSP 2023: 1-5 - [c158]Shengyuan Liu, Mengjie Fang, Di Dong, Wenting Shang, Jie Tian:
Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer. ISBI 2023: 1-5 - [i6]Dandan Shan, Zihan Li, Wentao Chen, Qingde Li, Jie Tian, Qingqi Hong:
Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment. CoRR abs/2303.00279 (2023) - [i5]Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. CoRR abs/2312.06454 (2023) - [i4]Gen Shi, Hao Lu, Hui Hui, Jie Tian:
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation. CoRR abs/2312.15273 (2023) - 2022
- [j133]Lixin Gong, Min Xu, Mengjie Fang, Bingxi He, Hailin Li, Xiangming Fang, Di Dong, Jie Tian:
The potential of prostate gland radiomic features in identifying the Gleason score. Comput. Biol. Medicine 144: 105318 (2022) - [j132]Lizhi Shao, Zhenyu Liu, Jiangang Liu, Ye Yan, Kai Sun, Xiangyu Liu, Jian Lu, Jie Tian:
Patient-level grading prediction of prostate cancer from mp-MRI via GMINet. Comput. Biol. Medicine 150: 106168 (2022) - [j131]Caixia Sun, Bingbing Li, Genxia Wei, Weihao Qiu, Danyi Li, Xiangzhao Li, Xiangyu Liu, Wei Wei, Shuo Wang, Zhenyu Liu, Jie Tian, Li Liang:
Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer. Comput. Methods Programs Biomed. 221: 106914 (2022) - [j130]Yusong Shen, Chaoen Hu, Peng Zhang, Jie Tian, Hui Hui:
A novel software framework for magnetic particle imaging reconstruction. Int. J. Imaging Syst. Technol. 32(4): 1119-1132 (2022) - [j129]Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng:
Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? J. Digit. Imaging 35(5): 1079-1090 (2022) - [j128]Yaxin Shang, Zechen Wei, Hui Hui, Xiaohu Li, Liang Li, Yongqiang Yu, Ligong Lu, Li Li, Hongjun Li, Qi Yang, Meiyun Wang, Meixiao Zhan, Wei Wang, Guanghao Zhang, Xiangjun Wu, Li Wang, Jie Liu, Jie Tian, Yunfei Zha:
Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study. Medical Biol. Eng. Comput. 60(9): 2721-2736 (2022) - [j127]Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, Chaoen Hu, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian:
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. Neural Networks 152: 394-406 (2022) - [j126]Xiaojing Shi, Zhe Zhang, Zeyu Zhang, Caiguang Cao, Zhen Cheng, Zhenhua Hu, Jie Tian, Nan Ji:
Near-Infrared Window II Fluorescence Image-Guided Surgery of High-Grade Gliomas Prolongs the Progression-Free Survival of Patients. IEEE Trans. Biomed. Eng. 69(6): 1889-1900 (2022) - [j125]Caiguang Cao, Zeping Jin, Xiaojing Shi, Zhe Zhang, Anqi Xiao, Junying Yang, Nan Ji, Jie Tian, Zhenhua Hu:
First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas. IEEE Trans. Biomed. Eng. 69(8): 2404-2413 (2022) - [j124]Jiangdian Song, Shih-Cheng Huang, Brendan Kelly, Guanqun Liao, Jingyun Shi, Ning Wu, Weimin Li, Zaiyi Liu, Lei Cui, Matthew P. Lungren, Michael E. Moseley, Peng Gao, Jie Tian, Kristen W. Yeom:
Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation. IEEE J. Biomed. Health Informatics 26(6): 2570-2581 (2022) - [j123]Yu An, Chang Bian, Daxiang Yan, Hanfan Wang, Yu Wang, Yang Du, Jie Tian:
A Fast and Automated FMT/XCT Reconstruction Strategy Based on Standardized Imaging Space. IEEE Trans. Medical Imaging 41(3): 657-666 (2022) - [j122]Anqi Xiao, Biluo Shen, Xiaojing Shi, Zhe Zhang, Zeyu Zhang, Jie Tian, Nan Ji, Zhenhua Hu:
Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging. IEEE Trans. Medical Imaging 41(10): 2570-2581 (2022) - [j121]Guang Jia, Liyu Huang, Ze Wang, Xiaofeng Liang, Yu Zhang, Yifei Zhang, Qiguang Miao, Kai Hu, Tanping Li, Ying Wang, Li Xi, Xin Feng, Hui Hui, Jie Tian:
Gradient-Based Pulsed Excitation and Relaxation Encoding in Magnetic Particle Imaging. IEEE Trans. Medical Imaging 41(12): 3725-3733 (2022) - [j120]Yuxing Li, Liaojun Pang, Heng Zhao, Zhicheng X. Cao, Eryun Liu, Jie Tian:
Indexing-Min-Max Hashing: Relaxing the Security-Performance Tradeoff for Cancelable Fingerprint Templates. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6314-6325 (2022) - [j119]Lin Yin, Wei Li, Yang Du, Kun Wang, Zhenyu Liu, Hui Hui, Jie Tian:
Recent developments of the reconstruction in magnetic particle imaging. Vis. Comput. Ind. Biomed. Art 5(1): 24 (2022) - [c157]Qiang Su, Zhenyu Liu, Yongbei Zhu, Jie Tian:
Metabolic-related gene signature model forecasts biochemical relapse in primary prostate cancer. EMBC 2022: 65-68 - [c156]Zihan Li, Dihan Li, Cangbai Xu, Weice Wang, Qingqi Hong, Qingde Li, Jie Tian:
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation. ICANN (4) 2022: 781-792 - [c155]Lixin Gong, Pinghong Zhou, Di Dong, Hao Hu, Jie Tian:
Low-Shot Early Gastric Cancer Diagnostic Model Driven By Unsupervised Features. ISBI 2022: 1-5 - [c154]Meili Liu, Shuo Wang, He Yu, Yongbei Zhu, Liusu Wang, Mingyu Zhang, Zhangjie Wu, Xiaohu Li, Weimin Li, Jie Tian:
A Lung-Parenchyma-Contrast Hybrid Network For EGFR Gene Mutation Prediction In Lung Cancer. ISBI 2022: 1-5 - [c153]Zheling Meng, Yangyang Zhu, Xiao Fan, Jie Tian, Fang Nie, Kun Wang:
CEUSegNet: A Cross-Modality Lesion Segmentation Network for Contrast-Enhanced Ultrasound. ISBI 2022: 1-5 - [c152]Yongbei Zhu, Liusu Wang, He Yu, Meili Liu, Mingyu Zhang, Weimin Li, Shuo Wang, Jie Tian:
Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images. ISBI 2022: 1-5 - [c151]Yu Wang, Chang Bian, Yu An, Hanfan Wang, Qian Liang, Yang Du, Jie Tian:
Graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c150]Xiaoning Zhang, Changjiang Li, Zeyu Zhang, Zhenhua Hu, Jie Tian:
Residual learning network for accurate and stable reconstruction in Cerenkov luminescence tomography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c149]Qi Qiu, Kai Sun, Jing Zhang, Panpan Liu, Liang Wang, Junting Zhang, Junlin Zhou, Zhenyu Liu, Jie Tian:
Identifying sinus invasion in meningioma patients before surgery with deep learning. Medical Imaging: Computer-Aided Diagnosis 2022 - [i3]Zihan Li, Dihan Li, Cangbai Xu, Weice Wang, Qingqi Hong, Qingde Li, Jie Tian:
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation. CoRR abs/2207.03450 (2022) - [i2]Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study. CoRR abs/2210.16640 (2022) - 2021
- [j118]Xiaoxiao Wang, Cong Li, Mengjie Fang, Liwen Zhang, Lianzhen Zhong, Di Dong, Jie Tian, Xiuhong Shan:
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer. BMC Medical Imaging 21(1): 58 (2021) - [j117]Fei Liu, Kun Wang, Dan Liu, Xin Yang, Jie Tian:
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography. Medical Image Anal. 67: 101873 (2021) - [j116]Lin Yin, Kun Wang, Tong Tong, Qian Wang, Yu An, Xin Yang, Jie Tian:
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography. IEEE Trans. Biomed. Eng. 68(11): 3388-3398 (2021) - [j115]Lizhi Shao, Zhenyu Liu, Ye Yan, Jiangang Liu, Xiongjun Ye, Haizhui Xia, Xuehua Zhu, Yuting Zhang, Zhiying Zhang, Huiying Chen, Wei He, Cheng Liu, Min Lu, Yi Huang, Kai Sun, Xuezhi Zhou, Guanyu Yang, Jian Lu, Jie Tian:
Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists. IEEE Trans. Biomed. Eng. 68(12): 3690-3700 (2021) - [j114]Yongbei Zhu, Shuo Wang, Siwen Wang, Qingxia Wu, Liusu Wang, Hongjun Li, Meiyun Wang, Meng Niu, Yunfei Zha, Jie Tian:
Mix Contrast for COVID-19 Mild-to-Critical Prediction. IEEE Trans. Biomed. Eng. 68(12): 3725-3736 (2021) - [j113]Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. IEEE J. Biomed. Health Informatics 25(3): 755-763 (2021) - [j112]Siwen Wang, Di Dong, Liang Li, Hailin Li, Yan Bai, Yahua Hu, Yuanyi Huang, Xiangrong Yu, Sibin Liu, Xiaoming Qiu, Ligong Lu, Meiyun Wang, Yunfei Zha, Jie Tian:
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study. IEEE J. Biomed. Health Informatics 25(7): 2353-2362 (2021) - [j111]Liwen Zhang, Di Dong, Lianzhen Zhong, Cong Li, Chaoen Hu, Xin Yang, Zaiyi Liu, Rongpin Wang, Junlin Zhou, Jie Tian:
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. IEEE J. Biomed. Health Informatics 25(10): 3933-3942 (2021) - [j110]Hanfan Wang, Chang Bian, Lingxin Kong, Yu An, Yang Du, Jie Tian:
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography. IEEE Trans. Medical Imaging 40(5): 1484-1498 (2021) - [c148]Fei Xu, Lingli Lin, Dihan Li, Qingqi Hong, KunHong Liu, Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian:
A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. BIBM 2021: 1119-1124 - [c147]Dongsheng Gu, Donghui Guo, Chunwang Yuan, Jingwei Wei, Zhenchang Wang, Hong Zheng, Jie Tian:
Multi-scale patches convolutional neural network predicting the histological grade of hepatocellular carcinoma. EMBC 2021: 2584-2587 - [c146]Qingxia Wu, Wenhui Huang, Shuo Wang, He Yu, Liushu Wang, Zhangjie Wu, Yongbei Zhu, Zhenyu Liu, He Ma, Jie Tian:
A generative adversarial network-based CT image standardization model for predicting progression-free survival of lung cancer. EMBC 2021: 3411-3414 - [c145]Guanghao Zhang, Hui Hui, Bin Ning, Di Dong, Jie Tian, Wen He:
Self-Attention Based Virtual Staining for Bright-field Images of Label-free Human Carotid Atherosclerotic Plaque Tissue Section. EMBC 2021: 3492-3495 - [c144]Siwen Wang, Di Dong, Hailin Li, Caizhen Feng, Yi Wang, Jie Tian:
Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images. EMBC 2021: 3501-3504 - [c143]Liusu Wang, Shuo Wang, He Yu, Yongbei Zhu, Weimin Li, Jie Tian:
A Quarter-split Domain-adaptive Network for EGFR Gene Mutation Prediction in Lung Cancer by Standardizing Heterogeneous CT image. EMBC 2021: 3646-3649 - [c142]Meiqing Pan, Hui Zhang, Zhenchao Tang, Yinghua Zhao, Jie Tian:
Attention-Based Multi-Scale Generative Adversarial Network for synthesizing contrast-enhanced MRI. EMBC 2021: 3650-3653 - [c141]Xiaohan Hao, Bing Liu, Xiaofei Hu, Jingwei Wei, Yuqi Han, Xianchuang Liu, Zhiyu Chen, Jiaping Li, Jie Bai, Yongliang Chen, Jian Wang, Meng Niu, Jie Tian:
A Radiomics-based Approach for Predicting Early Recurrence in Intrahepatic Cholangiocarcinoma after Surgical Resection: A Multicenter Study. EMBC 2021: 3659-3662 - [c140]Biluo Shen, Anqi Xiao, Jie Tian, Zhenhua Hu:
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network. ICCVW 2021: 365-372 - [c139]Liwen Zhang, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian:
Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images. ISBI 2021: 895-898 - [c138]Lin Yin, Kun Wang, Jie Tian:
Gaussian weighted block sparse Bayesian learning strategy based on K-means clustering algorithm for accurate bioluminescence tomography in glioma. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c137]Meiqing Pan, Zhenchao Tang, Sirui Fu, Wei Mu, Jie Zhang, Xiaoqun Li, Hui Zhang, Ligong Lu, Jie Tian:
Deep learning-based aggressive progression prediction from CT images of hepatocellular carcinoma. Medical Imaging: Computer-Aided Diagnosis 2021 - [c136]Chang Bian, Yu Wang, Yu An, Hanfan Wang, Yang Du, Jie Tian:
A computational prediction method based on modified U-Net for cell distribution in tumor microenvironment. Medical Imaging: Digital Pathology 2021 - 2020
- [j109]Jie-hua Su, Lingwei Meng, Di Dong, Wen-yan Zhuo, Jian-ming Wang, Li-bin Liu, Yi Qin, Ye Tian, Jie Tian, Zhao-hui Li:
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics. BMC Medical Imaging 20(1): 77 (2020) - [j108]Yu An, Hui Meng, Yuan Gao, Tong Tong, Chong Zhang, Kun Wang, Jie Tian:
Application of machine learning method in optical molecular imaging: a review. Sci. China Inf. Sci. 63(1): 111101 (2020) - [j107]Mengjie Fang, Bingxi He, Li Li, Di Dong, Xin Yang, Cong Li, Lingwei Meng, Lianzhen Zhong, Hailin Li, Hongjun Li, Jie Tian:
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study. Sci. China Inf. Sci. 63(7) (2020) - [j106]