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2020 – today
- 2023
[i5]Yang Chen, Zhenyu Yang, Jingtong Zhao, Justus Adamson, Yang Sheng, Fang-Fang Yin, Chunhao Wang:
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation. CoRR abs/2303.10533 (2023)- 2022
- [i4]Zhenyu Yang, Zongsheng Hu, Hangjie Ji, Kyle J. Lafata, Scott Floyd, Fang-Fang Yin, Chunhao Wang:
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation. CoRR abs/2203.00628 (2022) - [i3]Zhenyu Yang, Kyle J. Lafata, Eugene Vaios, Zongsheng Hu, Trey Mullikin, Fang-Fang Yin, Chunhao Wang:
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection. CoRR abs/2210.06512 (2022) - 2021
- [i2]Hangjie Ji, Kyle J. Lafata, Yvonne M. Mowery, David Brizel, Andrea L. Bertozzi, Fang-Fang Yin, Chunhao Wang:
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application. CoRR abs/2105.10650 (2021) - 2020
- [j7]Matt Mistro, Yang Sheng, Yaorong Ge, Chris R. Kelsey, Jatinder R. Palta, Jing Cai
, Qiuwen Wu, Fang-Fang Yin, Qingrong Jackie Wu:
Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study. Frontiers Artif. Intell. 3: 66 (2020) - [j6]Wentao Wang, Yang Sheng, Chunhao Wang, Jiahan Zhang, Xinyi Li, Manisha Palta, Brian Czito, Christopher G. Willett, Qiuwen Wu, Yaorong Ge, Fang-Fang Yin, Qingrong Jackie Wu:
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy. Frontiers Artif. Intell. 3: 68 (2020)
2010 – 2019
- 2019
- [j5]Zhuoran Jiang, Yingxuan Chen, Yawei Zhang, Yun Ge, Fang-Fang Yin, Lei Ren:
Augmentation of CBCT Reconstructed From Under-Sampled Projections Using Deep Learning. IEEE Trans. Medical Imaging 38(11): 2705-2715 (2019) - 2018
- [j4]William Paul Segars, Benjamin M. W. Tsui, Jing Cai, Fang-Fang Yin, George S. K. Fung, Ehsan Samei:
Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond. IEEE Trans. Medical Imaging 37(3): 680-692 (2018) - 2016
- [i1]Abhishek Kumar Dubey, Alexandros-Stavros Iliopoulos, Xiaobai Sun, Fang-Fang Yin, Lei Ren:
Iterative Inversion of Deformation Vector Fields with Feedback Control. CoRR abs/1610.08589 (2016) - 2011
- [j3]Justus Adamson, Tingliang Zhuang, Fang-Fang Yin:
Contour based respiratory motion analysis for free breathing CT. Comput. Biol. Medicine 41(10): 908-915 (2011)
2000 – 2009
- 2008
- [c4]Shiva K. Das, Shifeng Chen, Joseph O. Deasy, Sumin Zhou, Fang-Fang Yin, Lawrence B. Marks:
Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis. ICMLA 2008: 545-550
1990 – 1999
- 1999
- [j2]Qinghuai Gao, Fang-Fang Yin:
Two-Dimensional Direction-Based Interpolation with Local Centered Moments. Graph. Model. Image Process. 61(6): 323-339 (1999) - 1997
- [c3]Qinghuai Gao, Fang-Fang Yin:
Two-dimensional refinement scheme of direction-based interpolation with discrete orthogonal polynomial decomposition. Medical Imaging: Image Processing 1997 - 1996
- [c2]Fang-Fang Yin, Kaiwen Nie, Lulin Chen, Chang Wen Chen:
Automated extraction of pelvic features in portal and simulation images. Medical Imaging: Image Processing 1996 - 1994
- [j1]Fang-Fang Yin, Maryellen L. Giger, Kunio Doi, Carl J. Vyborny, Robert A. Schmidt:
Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques. J. Digit. Imaging 7(1): 18-26 (1994) - 1990
- [c1]Maryellen Lissak Giger, Fang-Fang Yin, Kunio Doi, Charles E. Metz, Robert A. Schmidt, Carl J. Vyborny:
Investigation of methods for the computerized detection and analysis of mammographic masses. Medical Imaging: Image Processing 1990
Coauthor Index
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