3D Segmentation of Residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies. - Guoqing Bao; Chaojie Zheng; Panli Li; Hui Cui 002; Xiuying Wang 001; Shaoli Song; Gang Huang; Dagan Feng 001 (DICTA, 2017)

Lesion based diagnostic performance of dual phase 99mTc-MIBI SPECT/CT imaging and ultrasonography in patients with secondary hyperparathyroidism. - Panli Li; Qiufang Liu; Daoqiang Tang; Yinyan Zhu; Lian Xu; Xiaoguang Sun; Shaoli Song (BMC Medical Imaging, 2017)

Ischemic stroke clinical outcome prediction based on image signature selection from multimodality data. - Hui Cui 002; Xiuying Wang 001; Yu Bian; Shaoli Song; David Dagan Feng (EMBC, 2018)

Thyroid classification via new multi-channel feature association and learning from multi-modality MRI images. - Rong Zhang; Qiufang Liu; Hui Cui 002; Xiuying Wang 001; Shaoli Song; Gang Huang; Dagan Feng 001 (ISBI, 2018)

Automated Region of Interest Detection Method in Scintigraphic Glomerular Filtration Rate Estimation. - Xiujuan Zheng; Wentao Wei; Qiu Huang; Shaoli Song; Gang Huang (IEEE J. Biomed. Health Informatics, 2019)

LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images. - Huai Chen; Shaoli Song; Xiuying Wang 001; Renzhen Wang; Deyu Meng; Lisheng Wang (MICCAI (Challenges), 2020)

Harmonization Centered Ensemble For Small And Highly Imbalanced Medical Data Classification. - Jiaru Li; Bowen Xin; Ziyi Yang; Junyan Xu; Shaoli Song; Xiuying Wang 001 (ISBI, 2021)

Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation. - Lei Bi 001; Michael J. Fulham; Nan Li; Qiufang Liu; Shaoli Song; David Dagan Feng; Jinman Kim (Comput. Methods Programs Biomed., 2021)

Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics. - Bingxin Gu; Mingyuan Meng; Lei Bi 001; Jinman Kim; David Dagan Feng; Shaoli Song (CoRR, 2021)

Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features. - Lei Bi 001; Xiaohang Fu; Qiufang Liu; Shaoli Song; David Dagan Feng; Michael J. Fulham; Jinman Kim (CoRR, 2022)

DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. - Mingyuan Meng; Bingxin Gu; Lei Bi 001; Shaoli Song; David Dagan Feng; Jinman Kim (IEEE J. Biomed. Health Informatics, 2022)

Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization. - Xiaoya Qiao; Chunjuan Jiang; Panli Li; Yuan Yuan 022; Qinglong Zeng; Lei Bi 001; Shaoli Song; Jinman Kim; David Dagan Feng; Qiu Huang (IEEE J. Biomed. Health Informatics, 2022)

Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. - Lei Bi 001; Michael J. Fulham; Shaoli Song; David Dagan Feng; Jinman Kim (EMBC, 2023)

DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. - Mingyuan Meng; Bingxin Gu; Michael J. Fulham; Shaoli Song; Dagan Feng 001; Lei Bi 001; Jinman Kim (CoRR, 2023)

Automatic segmentation of esophageal gross tumor volume in 18F-FDG PET/CT images via GloD-LoATUNet. - Yaoting Yue; Nan Li; Gaobo Zhang; Zhibin Zhu; Xin Liu 003; Shaoli Song; Dean Ta (Comput. Methods Programs Biomed., 2023)

Attention in Attention for PET-CT Modality Consensus Lung Tumor Segmentation. - Yuzhou Zhao; Xinyu Zhou; Haijing Guo; Qianyu Guo; Yan Zuo; Shaoli Song; Shuyong Gao; Wenqiang Zhang (ICME, 2024)

A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation. - Yaoting Yue; Nan Li; Gaobo Zhang; Wenyu Xing; Zhibin Zhu; Xin Liu 003; Shaoli Song; Dean Ta (Comput. Methods Programs Biomed., 2024)

Attention-driven visual emphasis for medical volumetric image visualization. - Mingjian Li; Younhyun Jung; Shaoli Song; Jinman Kim (Vis. Comput., 2025)