Investigation of methods for the computerized detection and analysis of mammographic masses. - Maryellen Lissak Giger; Fang-Fang Yin; Kunio Doi; Charles E. Metz; Robert A. Schmidt; Carl J. Vyborny (Image Processing, 1990)

Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques. - Fang-Fang Yin; Maryellen L. Giger; Kunio Doi; Carl J. Vyborny; Robert A. Schmidt (J. Digit. Imaging, 1994)

Automated extraction of pelvic features in portal and simulation images. - Fang-Fang Yin; Kaiwen Nie; Lulin Chen; Chang Wen Chen (Image Processing, 1996)

Two-dimensional refinement scheme of direction-based interpolation with discrete orthogonal polynomial decomposition. - Qinghuai Gao; Fang-Fang Yin (Image Processing, 1997)

Two-Dimensional Direction-Based Interpolation with Local Centered Moments. - Qinghuai Gao; Fang-Fang Yin (Graph. Model. Image Process., 1999)

Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis. - Shiva K. Das; Shifeng Chen; Joseph O. Deasy; Sumin Zhou; Fang-Fang Yin; Lawrence B. Marks (ICMLA, 2008)

Contour based respiratory motion analysis for free breathing CT. - Justus Adamson; Tingliang Zhuang; Fang-Fang Yin (Comput. Biol. Medicine, 2011)

Iterative Inversion of Deformation Vector Fields with Feedback Control. - Abhishek Kumar Dubey; Alexandros-Stavros Iliopoulos; Xiaobai Sun; Fang-Fang Yin; Lei Ren (CoRR, 2016)

Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond. - William Paul Segars; Benjamin M. W. Tsui; Jing Cai 001; Fang-Fang Yin; George S. K. Fung; Ehsan Samei (IEEE Trans. Medical Imaging, 2018)

Augmentation of CBCT Reconstructed From Under-Sampled Projections Using Deep Learning. - Zhuoran Jiang; Yingxuan Chen; Yawei Zhang; Yun Ge; Fang-Fang Yin; Lei Ren (IEEE Trans. Medical Imaging, 2019)

Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study. - Matt Mistro; Yang Sheng; Yaorong Ge; Chris R. Kelsey; Jatinder R. Palta; Jing Cai 001; Qiuwen Wu; Fang-Fang Yin; Qingrong Jackie Wu (Frontiers Artif. Intell., 2020)

Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy. - Wentao Wang; Yang Sheng; Chunhao Wang; Jiahan Zhang; Xinyi Li 003; Manisha Palta; Brian Czito; Christopher G. Willett; Qiuwen Wu; Yaorong Ge; Fang-Fang Yin; Qingrong Jackie Wu (Frontiers Artif. Intell., 2020)

Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application. - Hangjie Ji; Kyle J. Lafata; Yvonne M. Mowery; David Brizel; Andrea L. Bertozzi; Fang-Fang Yin; Chunhao Wang (CoRR, 2021)

A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation. - Zhenyu Yang; Zongsheng Hu; Hangjie Ji; Kyle J. Lafata; Scott Floyd; Fang-Fang Yin; Chunhao Wang (CoRR, 2022)

Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection. - Zhenyu Yang; Kyle J. Lafata; Eugene Vaios; Zongsheng Hu; Trey Mullikin; Fang-Fang Yin; Chunhao Wang (CoRR, 2022)

A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation. - Yang Chen; Zhenyu Yang; Jingtong Zhao; Justus Adamson; Yang Sheng; Fang-Fang Yin; Chunhao Wang (CoRR, 2023)

Adaptive Neuro-Fuzzy Inference System guided objective function parameter optimization for inverse treatment planning. - Eduardo Cisternas Jiménez; Fang-Fang Yin (Frontiers Artif. Intell., 2025)

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation. - Tianhao Li; Tianyu Zeng; Yujia Zheng; Chulong Zhang; Jingyu Lu; Haotian Huang; Chuangxin Chu; Fang-Fang Yin; Zhenyu Yang (CoRR, 2025)

An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation. - Rihui Zhang; Haiming Zhu; Jingtong Zhao; Lei Zhang; Fang-Fang Yin; Chunhao Wang; Zhenyu Yang (CoRR, 2025)

Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification. - Zhenyu Yang; Haiming Zhu; Rihui Zhang; Haipeng Zhang; Jianliang Wang; Chunhao Wang; Minbin Chen; Fang-Fang Yin (CoRR, 2025)