Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion. - Zhiguo Zhou; Zhi-Jie Zhou; Hongxia Hao; Shulong Li; Xi Chen; You Zhang 003; Michael Folkert; Jing Wang 022 (CoRR, 2017)

Automatic PET cervical tumor segmentation by deep learning with prior information. - Liyuan Chen; Chenyang Shen; Shulong Li; Genevieve Maquilan; Kevin Albuquerque; Michael R. Folkert; Jing Wang 022 (Image Processing, 2018)

Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices. - Liyuan Chen; Chenyang Shen; Zhiguo Zhou; Genevieve Maquilan; Kimberly Thomas; Michael R. Folkert; Kevin Albuquerque; Jing Wang 022 (Comput. Biol. Medicine, 2018)

Automatic multi-objective based feature selection for classification. - Zhiguo Zhou; Shulong Li; Genggeng Qin; Michael Folkert; Steve B. Jiang; Jing Wang 022 (CoRR, 2018)

Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. - Shulong Li; Panpan Xu; Bin Li; Liyuan Chen; Zhiguo Zhou; Hongxia Hao; Yingying Duan; Michael Folkert; Jianhua Ma 001; Steve B. Jiang; Jing Wang 022 (CoRR, 2018)

A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT. - Shulong Li; Ning Yang; Bin Li; Zhiguo Zhou; Hongxia Hao; Michael R. Folkert; Puneeth Iyengar; Kenneth Westover; Hak Choy; Robert Timmerman; Steve B. Jiang; Jing Wang 022 (Medical Image Anal., 2018)

A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer. - Xi Chen; Zhiguo Zhou; Kimberly Thomas; Michael Folkert; Nathan Kim; Asal Rahimi; Jing Wang 022 (EMBC, 2019)

Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification. - Zhiguo Zhou; Shulong Li; Genggeng Qin; Michael Folkert; Steve B. Jiang; Jing Wang 022 (IEEE J. Biomed. Health Informatics, 2020)