Estimating the actual dose delivered by intravascular coronary brachytherapy using geometrically correct 3D modeling. - Andreas Wahle; John J. Lopez; Edward C. Pennington; Sanford L. Meeks; Kathleen C. Braddy; James M. Fox; Theresa M. H. Brennan; John M. Buatti; James D. Rossen; Milan Sonka (Image-Guided Procedures, 2003)

Effects of vessel geometry and catheter position on dose delivery in intracoronary brachytherapy. - Andreas Wahle; John J. Lopez; Edward C. Pennington; Sanford L. Meeks; Kathleen Braddy; James M. Fox; Theresa Brennan; John M. Buatti; James D. Rossen; Milan Sonka (IEEE Trans. Biomed. Eng., 2003)

The Matrix Orthogonal Decomposition Problem in Intensity-Modulated Radiation Therapy. - Xin Dou; Xiaodong Wu 001; John E. Bayouth; John M. Buatti (COCOON, 2006)

New Algorithm for Field Splitting in Radiation Therapy. - Xiaodong Wu 001; Xin Dou; John E. Bayouth; John M. Buatti (ISAAC, 2007)

Optimal Graph Search Segmentation Using Arc-Weighted Graph for Simultaneous Surface Detection of Bladder and Prostate. - Qi Song 001; Xiaodong Wu 001; Yunlong Liu; Mark Smith 005; John M. Buatti; Milan Sonka (MICCAI (1), 2009)

Efficient Algorithm for Optimal Matrix Orthogonal Decomposition Problem in Intensity-Modulated Radiation Therapy. - Xiaodong Wu 001; Xin Dou; John E. Bayouth; John M. Buatti (Int. J. Comput. Geom. Appl., 2009)

Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method. - Dongfeng Han; John E. Bayouth; Qi Song 001; Aakant Taurani; Milan Sonka; John M. Buatti; Xiaodong Wu 001 (IPMI, 2011)

An almost linear time algorithm for field splitting in radiation therapy. - Xiaodong Wu 001; Xin Dou; John E. Bayouth; John M. Buatti (Comput. Geom., 2013)

Optimal Multiple Surface Segmentation With Shape and Context Priors. - Qi Song 001; Junjie Bai; Mona Kathryn Garvin; Milan Sonka; John M. Buatti; Xiaodong Wu 001 (IEEE Trans. Medical Imaging, 2013)

Optimal Co-Segmentation of Tumor in PET-CT Images With Context Information. - Qi Song 001; Junjie Bai; Dongfeng Han; Sudershan Bhatia; Wenqing Sun; William Rockey; John E. Bayouth; John M. Buatti; Xiaodong Wu 001 (IEEE Trans. Medical Imaging, 2013)

Development of a radiobiological evaluation tool to assess the expected clinical impacts of contouring accuracy between manual and semi-automated segmentation algorithms. - Yusung Kim 003; Kaustubh Anil Patwardhan; Reinhard R. Beichel; Brian J. Smith; Christopher Mart; Kristin A. Plichta; Tangel Chang; Milan Sonka; Michael M. Graham; Vince Magnotta; Thomas L. Casavant; Junyi Xia; et al. (EMBC, 2017)

3D Alpha Matting Based Co-segmentation of Tumors on PET-CT Images. - Zisha Zhong; Yusung Kim 003; John M. Buatti; Xiaodong Wu 001 (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Multi-scale segmentation using deep graph cuts: Robust lung tumor delineation in MVCBCT. - Xiaodong Wu 001; Zisha Zhong; John M. Buatti; Junjie Bai (ISBI, 2018)

Improving tumor co-segmentation on PET-CT images with 3D co-matting. - Zisha Zhong; Yusung Kim 003; Leixin Zhou; Kristin A. Plichta; Bryan Allen; John M. Buatti; Xiaodong Wu 001 (ISBI, 2018)

3D fully convolutional networks for co-segmentation of tumors on PET-CT images. - Zisha Zhong; Yusung Kim 003; Leixin Zhou; Kristin A. Plichta; Bryan Allen; John M. Buatti; Xiaodong Wu 001 (ISBI, 2018)

Machine learning with the TCGA-HNSC dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality. - Michael C. Rendleman; John M. Buatti; Terry A. Braun; Brian J. Smith; Chibuzo Nwakama; Reinhard R. Beichel; Bartley Brown; Thomas L. Casavant (BMC Bioinform., 2019)

What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival. - Stephen Baek; Yusen He; Bryan G. Allen; John M. Buatti; Brian J. Smith; Kristin A. Plichta; Steven N. Seyedin; Maggie Gannon; Katherine R. Cabel; Yusung Kim 003; Xiaodong Wu 001 (CoRR, 2019)

Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation. - Michael C. Rendleman; Brian J. Smith; Guadalupe Canahuate; Terry A. Braun; John M. Buatti; Thomas L. Casavant (Stat. Comput., 2022)

Model-Informed Deep Learning for Surface Segmentation in Medical Imaging. - Xiaodong Wu 001; Leixin Zhou; Fahim A. Zaman; Bensheng Qiu; John M. Buatti (IPMI, 2023)

gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation. - Hui Xie; Weiyu Xu; Yaxing Wang; John M. Buatti; Xiaodong Wu 001 (CoRR, 2023)