Fangfang Han

发表

CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images

Shouliang Qi, Fangfang Han, Xinzhuo Zhao, 2018, Biomedical engineering online.

A Hybrid CNN Feature Model for Pulmonary Nodule Differentiation Task

Zhengrong Liang, Tingting Zhao, Huafeng Wang, 2017, BIVPCS/POCUS@MICCAI.

Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

D. Dong, Liang Wang, Jie Tian, 2019, European journal of radiology.

Evaluation of parametrial infiltration in cervical cancer with voxel-based segmentation of integrated 18F-FDG PET/MRI images: A preliminary study.

Fangfang Han, Hongzan Sun, Zhongwei Chen, 2019, European journal of radiology.

A dynamic lesion model for differentiation of malignant and benign pathologies

Marc J. Pomeroy, Zhengrong Liang, P. Pickhardt, 2021, Scientific Reports.

Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules

Hong Zhao, Zhengrong Liang, Hongbing Lu, 2015, Journal of Digital Imaging.

The detection of crackles based on mathematical morphology in spectrogram analysis.

Hong Zhao, Fangfang Han, Xuefeng Wang, 2015, Technology and health care : official journal of the European Society for Engineering and Medicine.

Two graph-regularized fuzzy subspace clustering methods

Lisheng Xu, Wei Qian, Fangfang Han, 2021, Appl. Soft Comput..

Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images

Shouliang Qi, Yueyang Teng, Haoming Li, 2019, IEEE Access.

Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children

Yan Wang, Tong Yu, Jie Tian, 2019, BMC Medical Imaging.

A Block Advanced PCA Fusion Algorithm Based on PET/CT

Dazhe Zhao, Fangfang Han, Jinzhu Yang, 2011, 2011 Fourth International Conference on Intelligent Computation Technology and Automation.

Cryptanalysis and improvement in an image encryption scheme using combination of the 1D chaotic map

Yu-Dong Yao, Wei Qian, Zhiliang Zhu, 2018, Nonlinear Dynamics.

A Globally Adaptive Region Growing Method for Cervical Tumor Segmentation Based on MR Images

He Ma, Ying Kang, Ying Su, 2019, 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP).

A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.

Tingting Zhao, Haixia Pan, Yuehai Wang, 2017, Journal of X-ray science and technology.

Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme

Zhengrong Liang, Lihong Li, Fangfang Han, 2015, IEEE Journal of Biomedical and Health Informatics.

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets

Wei Hou, Zhengrong Liang, Weiguo Cao, 2019, Comput. Medical Imaging Graph..

A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks

Tao Jiang, Ning Xu, Chen Li, 2018, ITIB.

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning

Zhengrong Liang, Fangfang Han, Wei Qian, 2020, Journal of Digital Imaging.

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity

Marc J. Pomeroy, Zhengrong Liang, Jianhua Ma, 2022, ArXiv.

A framework for least squares nonnegative matrix factorizations with Tikhonov regularization

Fenglei Fan, Qing Lyu, Yu-Dong Yao, 2020, Neurocomputing.

CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images

W. Qian, Shouliang Qi, Mingjie Xu, 2018, BioMedical Engineering OnLine.

A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.

Zhengrong Liang, Wanquan Liu, Fangfang Han, 2017, Journal of X-Ray Science and Technology.

Efficient 3D texture feature extraction from CT images for computer-aided diagnosis of pulmonary nodules

Hong Zhao, Zhengrong Liang, Hongbing Lu, 2014, Medical Imaging.

Lung nodule classification using local kernel regression models with out-of-sample extension

He Ma, Guohui Wei, Hongyang Jiang, 2018, Biomed. Signal Process. Control..