A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model. - Di Jia; Fangfang Han; Jinzhu Yang; Yifei Zhang 003; Dazhe Zhao; Ge Yu 001 (J. Digit. Content Technol. its Appl., 2010)

A Leasing Instances Based Billing Model for Cloud Computing. - Qin Yuan; Zhixiang Liu; Junjie Peng; Xing Wu 001; Jiandun Li; Fangfang Han; Qing Li 011; Wu Zhang; Xinjin Fan; Shengyuan Kong (GPC, 2011)

Research on Preprocessing Algorithm for PET-CT Image Registration. - Fangfang Han; Jinzhu Yang; Yang Liu; Hong Zhao (ICDMA, 2012)

A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules. - Fangfang Han; Huafeng Wang; Bowen Song; Guopeng Zhang; Hongbing Lu; William Moore; Hong Zhao; Zhengrong Liang (Computer-Aided Diagnosis, 2013)

A shape constrained MAP-EM algorithm for colorectal segmentation. - Huafeng Wang; Lihong Li 002; Bowen Song; Fangfang Han; Zhengrong Liang (Computer-Aided Diagnosis, 2013)

Efficient 3D texture feature extraction from CT images for computer-aided diagnosis of pulmonary nodules. - Fangfang Han; Huafeng Wang; Bowen Song; Guopeng Zhang; Hongbing Lu; William Moore; Zhengrong Liang; Hong Zhao (Computer-Aided Diagnosis, 2014)

An improved high order texture features extraction method with application to pathological diagnosis of colon lesions for CT colonography. - Bowen Song; Guopeng Zhang; Hongbing Lu; Huafeng Wang; Fangfang Han; Wei Zhu 008; Zhengrong Liang (Computer-Aided Diagnosis, 2014)

Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules. - Fangfang Han; Huafeng Wang; Guopeng Zhang; Hao Han; Bowen Song; Lihong Li 002; William Moore; Hongbing Lu; Hong Zhao; Zhengrong Liang (J. Digit. Imaging, 2015)

Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme. - Hao Han; Lihong Li 002; Fangfang Han; Bowen Song; William Moore; Zhengrong Liang (IEEE J. Biomed. Health Informatics, 2015)

Risk prediction of small pulmonary nodules based on novel CT image texture markers. - Fangfang Han; Bowen Song; He Ma; Wei Qian 001; Zhengrong Liang (Computer-Aided Diagnosis, 2017)

A Hybrid CNN Feature Model for Pulmonary Nodule Differentiation Task. - Tingting Zhao; Huafeng Wang; Lihong Li 002; Yifang Qi; Haoqi Gao; Fangfang Han; Zhengrong Liang; Yanmin Qi; Yuan Cao (BIVPCS/POCUS@MICCAI, 2017)

A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks. - Chen Li 022; Ning Xu 012; Tao Jiang 014; Shouliang Qi; Fangfang Han; Wei Qian 001; Xin Zhao 023 (ITIB, 2018)

Lung nodule classification using local kernel regression models with out-of-sample extension. - Guohui Wei; He Ma; Wei Qian 001; Fangfang Han; Hongyang Jiang 001; Shouliang Qi; Min Qiu (Biomed. Signal Process. Control., 2018)

Partially supervised anchored neighborhood regression for image super-resolution through FoE features. - Lei Sun; Fangfang Han; Chengtao Cai; Li Su (Neurocomputing, 2018)

Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. - Fangfang Han; Linkai Yan; Chen Li 022; Shouliang Qi; William Moore; Zhengrong Liang; Wei Qian 001 (Computer-Aided Diagnosis, 2019)

Topological Horseshoe Analysis and FPGA Implementation of a Classical Fractional Order Chaotic System. - Enzeng Dong; Mingfeng Yuan; Fangfang Han; Jigang Tong; Shengzhi Du (IEEE Access, 2019)

Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images. - Patrice Monkam; Shouliang Qi; Mingjie Xu; Haoming Li 003; Fangfang Han; Yueyang Teng; Wei Qian 001 (IEEE Access, 2019)

Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children. - Bei Wang; Min Li; He Ma; Fangfang Han; Yan Wang; Shunying Zhao; Zhimin Liu; Tong Yu 004; Jie Tian 001; Di Dong; Yun Peng 005 (BMC Medical Imaging, 2019)

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. - Shu Zhang 006; Fangfang Han; Zhengrong Liang; Jiaxing Tan; Weiguo Cao; Yongfeng Gao; Marc Jason Pomeroy; Kenneth Ng; Wei Hou (Comput. Medical Imaging Graph., 2019)

Algorithm Design for Edge Detection of High-Speed Moving Target Image under Noisy Environment. - Fangfang Han; Bin Liu; Junchao Zhu; Baofeng Zhang (Sensors, 2019)

Fish Shoals Behavior Detection Based on Convolutional Neural Network and Spatiotemporal Information. - Fangfang Han; Junchao Zhu; Bin Liu; Baofeng Zhang; Fuhua Xie (IEEE Access, 2020)

A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. - Yueyang Teng; Shouliang Qi; Fangfang Han; Yudong Yao; Fenglei Fan; Qing Lyu 003; Ge Wang 001 (Neurocomputing, 2020)

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. - Fangfang Han; Linkai Yan; Junxin Chen 001; Yueyang Teng; Shuo Chen 005; Shouliang Qi; Wei Qian 001; Jie Yang; William Moore; Shu Zhang 006; Zhengrong Liang (J. Digit. Imaging, 2020)

Two graph-regularized fuzzy subspace clustering methods. - Yueyang Teng; Shouliang Qi; Fangfang Han; Lisheng Xu; Yudong Yao; Wei Qian 001 (Appl. Soft Comput., 2021)

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity. - Weiguo Cao; Marc Jason Pomeroy; Zhengrong Liang; Yongfeng Gao; Yongyi Shi; Jiaxing Tan; Fangfang Han; Jing Wang 022; Jianhua Ma 001; Hongbin Lu; Almas F. Abbasi; Perry J. Pickhardt (CoRR, 2022)

Study on the Construction of a Time-Space Four-Dimensional Combined Imaging Model and Moving Target Location Prediction Model. - Junchao Zhu; Qi Zeng; Fangfang Han; Huifeng Cao; Yongxin Bian; Chenhong Wei (Sensors, 2022)

SubGE-DDI: A new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement. - Yiyang Shi; Mingxiu He; Junheng Chen; Fangfang Han; Yongming Cai (PLoS Comput. Biol., 2024)

A novel weighted pseudo-labeling framework based on matrix factorization for adverse drug reaction prediction. - Junheng Chen; Fangfang Han; Mingxiu He; Yiyang Shi; Yongming Cai (BMC Bioinform., 2025)