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Fangfang Han
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2020 – today
- 2024
- [j16]Yiyang Shi, Mingxiu He, Junheng Chen, Fangfang Han, Yongming Cai:
SubGE-DDI: A new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement. PLoS Comput. Biol. 20(4): 1011989 (2024) - 2022
- [j15]Junchao Zhu, Qi Zeng, Fangfang Han, Huifeng Cao, Yongxin Bian, Chenhong Wei:
Study on the Construction of a Time-Space Four-Dimensional Combined Imaging Model and Moving Target Location Prediction Model. Sensors 22(17): 6375 (2022) - [i1]Weiguo Cao, Marc Jason Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt:
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity. CoRR abs/2205.14029 (2022) - 2021
- [j14]Yueyang Teng, Shouliang Qi, Fangfang Han, Lisheng Xu, Yudong Yao, Wei Qian:
Two graph-regularized fuzzy subspace clustering methods. Appl. Soft Comput. 100: 106981 (2021) - 2020
- [j13]Fangfang Han, Junchao Zhu, Bin Liu, Baofeng Zhang, Fuhua Xie:
Fish Shoals Behavior Detection Based on Convolutional Neural Network and Spatiotemporal Information. IEEE Access 8: 126907-126926 (2020) - [j12]Yueyang Teng, Shouliang Qi, Fangfang Han, Yudong Yao, Fenglei Fan, Qing Lyu, Ge Wang:
A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. Neurocomputing 387: 78-90 (2020) - [j11]Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang:
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. J. Digit. Imaging 33(3): 685-696 (2020)
2010 – 2019
- 2019
- [j10]Patrice Monkam, Shouliang Qi, Mingjie Xu, Haoming Li, Fangfang Han, Yueyang Teng, Wei Qian:
Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images. IEEE Access 7: 5564-5576 (2019) - [j9]Enzeng Dong, Mingfeng Yuan, Fangfang Han, Jigang Tong, Shengzhi Du:
Topological Horseshoe Analysis and FPGA Implementation of a Classical Fractional Order Chaotic System. IEEE Access 7: 129095-129103 (2019) - [j8]Bei Wang, Min Li, He Ma, Fangfang Han, Yan Wang, Shunying Zhao, Zhimin Liu, Tong Yu, Jie Tian, Di Dong, Yun Peng:
Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children. BMC Medical Imaging 19(1): 63:1-63:11 (2019) - [j7]Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng Gao, Marc Jason Pomeroy, Kenneth Ng, Wei Hou:
An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. Comput. Medical Imaging Graph. 77 (2019) - [j6]Fangfang Han, Bin Liu, Junchao Zhu, Baofeng Zhang:
Algorithm Design for Edge Detection of High-Speed Moving Target Image under Noisy Environment. Sensors 19(2): 343 (2019) - [c10]Fangfang Han, Linkai Yan, Chen Li, Shouliang Qi, William Moore, Zhengrong Liang, Wei Qian:
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. Computer-Aided Diagnosis 2019: 109503Q - 2018
- [j5]Guohui Wei, He Ma, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu:
Lung nodule classification using local kernel regression models with out-of-sample extension. Biomed. Signal Process. Control. 40: 1-9 (2018) - [j4]Lei Sun, Fangfang Han, Chengtao Cai, Li Su:
Partially supervised anchored neighborhood regression for image super-resolution through FoE features. Neurocomputing 275: 2341-2354 (2018) - [c9]Chen Li, Ning Xu, Tao Jiang, Shouliang Qi, Fangfang Han, Wei Qian, Xin Zhao:
A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks. ITIB 2018: 3-14 - 2017
- [c8]Fangfang Han, Bowen Song, He Ma, Wei Qian, Zhengrong Liang:
Risk prediction of small pulmonary nodules based on novel CT image texture markers. Computer-Aided Diagnosis 2017: 101343Q - [c7]Tingting Zhao, Huafeng Wang, Lihong Li, Yifang Qi, Haoqi Gao, Fangfang Han, Zhengrong Liang, Yanmin Qi, Yuan Cao:
A Hybrid CNN Feature Model for Pulmonary Nodule Differentiation Task. BIVPCS/POCUS@MICCAI 2017: 19-26 - 2015
- [j3]Fangfang Han, Huafeng Wang, Guopeng Zhang, Hao Han, Bowen Song, Lihong Li, William Moore, Hongbing Lu, Hong Zhao, Zhengrong Liang:
Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules. J. Digit. Imaging 28(1): 99-115 (2015) - [j2]Hao Han, Lihong Li, Fangfang Han, Bowen Song, William Moore, Zhengrong Liang:
Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme. IEEE J. Biomed. Health Informatics 19(2): 648-659 (2015) - 2014
- [c6]Bowen Song, Guopeng Zhang, Hongbing Lu, Huafeng Wang, Fangfang Han, Wei Zhu, Zhengrong Liang:
An improved high order texture features extraction method with application to pathological diagnosis of colon lesions for CT colonography. Computer-Aided Diagnosis 2014: 90350C - [c5]Fangfang Han, Huafeng Wang, Bowen Song, Guopeng Zhang, Hongbing Lu, William Moore, Zhengrong Liang, Hong Zhao:
Efficient 3D texture feature extraction from CT images for computer-aided diagnosis of pulmonary nodules. Computer-Aided Diagnosis 2014: 90352C - 2013
- [c4]Fangfang Han, Huafeng Wang, Bowen Song, Guopeng Zhang, Hongbing Lu, William Moore, Hong Zhao, Zhengrong Liang:
A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules. Computer-Aided Diagnosis 2013: 86702Z - [c3]Huafeng Wang, Lihong Li, Bowen Song, Fangfang Han, Zhengrong Liang:
A shape constrained MAP-EM algorithm for colorectal segmentation. Computer-Aided Diagnosis 2013: 86702F - 2012
- [c2]Fangfang Han, Jinzhu Yang, Yang Liu, Hong Zhao:
Research on Preprocessing Algorithm for PET-CT Image Registration. ICDMA 2012: 691-694 - 2011
- [c1]Qin Yuan, Zhixiang Liu, Junjie Peng, Xing Wu, Jiandun Li, Fangfang Han, Qing Li, Wu Zhang, Xinjin Fan, Shengyuan Kong:
A Leasing Instances Based Billing Model for Cloud Computing. GPC 2011: 33-41 - 2010
- [j1]Di Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Dazhe Zhao, Ge Yu:
A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model. J. Digit. Content Technol. its Appl. 4(6): 144-149 (2010)
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