Designing and Implementing a Computing Framework for Image-Guided Radiation Therapy Research. - Mirek Fatyga; Baoshe Zhang; William C. Sleeman (Comput. Sci. Eng., 2012)

Efficient deformable model with sparse shape composition prior on compromised right lung segmentation in CT. - Jinghao Zhou; Giovanni Lasio; Baoshe Zhang; Karl Prado; Warren D. D'Souza; Zhennan Yan; Dimitris N. Metaxas (ICSAI, 2014)

Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT. - Jinghao Zhou; Zhennan Yan; Giovanni Lasio; Junzhou Huang; Baoshe Zhang; Navesh Sharma; Karl Prado; Warren D. D'Souza (Comput. Medical Imaging Graph., 2015)

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. - Guotai Wang; Shuwei Zhai; Giovanni Lasio; Baoshe Zhang; Byong Yi; Shifeng Chen; Thomas J. Macvittie; Dimitris N. Metaxas; Jinghao Zhou; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2022)

Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage. - Dong Yang 005; Giovanni Lasio; Baoshe Zhang; Byong Yi; Shifeng Chen; Yin Zhang; Thomas J. Macvittie; Dimitris N. Metaxas; Jinghao Zhou (J. Signal Process. Syst., 2022)