An Iterative Maximum-Likelihood Polychromatic Algorithm for CT. - Bruno De Man; Johan Nuyts; Patrick Dupont; Guy Marchal; Paul Suetens (IEEE Trans. Medical Imaging, 2001)

Branchless distance driven projection and backprojection. - Samit Basu; Bruno De Man (Computational Imaging, 2006)

3D Analytic Cone-Beam Reconstruction for Multiaxial CT Acquisitions. - Zhye Yin; Bruno De Man; Jed D. Pack (Int. J. Biomed. Imaging, 2009)

Computer-Assisted Scan Protocol and Reconstruction (CASPAR) - Reduction of Image Noise and Patient Dose. - Jonathan Sperl; Dirk Beque; Bernhard Claus; Bruno De Man; Bob Senzig; Martin Brokate (IEEE Trans. Medical Imaging, 2010)

Implementation and validation of the advanced variance estimation technique using CT projection data. - Yangyang Yao; Yannan Jin; Paul Fitzgerald; Pete Edic; Zhye Yin; Bruno De Man (ISBI, 2014)

Multisource X-Ray and CT: Lessons Learned and Future Outlook. - Vasile Bogdan Neculaes; Peter M. Edic; Mark Frontera; Antonio Caiafa; Ge Wang 001; Bruno De Man (IEEE Access, 2014)

Metal Artifact Reduction in CT: Where Are We After Four Decades? - Lars Gjesteby; Bruno De Man; Yannan Jin; Harald Paganetti; Joost Verburg; Drosoula Giantsoudi; Ge Wang 001 (IEEE Access, 2016)

High-kVp Assisted Metal Artifact Reduction for X-Ray Computed Tomography. - Yan Xi; Yannan Jin; Bruno De Man; Ge Wang 001 (IEEE Access, 2016)

Estimation of Radiation Dose in CT Based on Projection Data. - Xiaoyu Tian; Zhye Yin; Bruno De Man; Ehsan Samei (J. Digit. Imaging, 2016)

Energy Window Optimization for X-Ray K-Edge Tomographic Imaging. - Bo Meng; Wenxiang Cong; Yan Xi; Bruno De Man; Ge Wang 001 (IEEE Trans. Biomed. Eng., 2016)

GPU-Based Branchless Distance-Driven Projection and Backprojection. - Rui Liu 014; Lin Fu; Bruno De Man; Hengyong Yu (IEEE Trans. Computational Imaging, 2017)

Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction. - Lin Fu; Tzu-Cheng Lee; Soo Mee Kim; Adam M. Alessio; Paul E. Kinahan; Zhiqian Chang; Ken D. Sauer; Mannudeep K. Kalra; Bruno De Man (IEEE Trans. Medical Imaging, 2017)

A hierarchical approach to deep learning and its application to tomographic reconstruction. - Lin Fu; Bruno De Man (CoRR, 2019)

Deep learning-based model observers that replicate human observers for PET imaging. - Fenglei Fan; Sangtae Ahn; Bruno De Man; Kristen A. Wangerin; Scott D. Wollenweber; Craig K. Abbey; Paul E. Kinahan (Image Perception, Observer Performance, and Technology Assessment, 2020)

Deep learning for tomographic image reconstruction. - Ge Wang 001; Jong Chul Ye; Bruno De Man (Nat. Mach. Intell., 2020)

Virtual Monoenergetic CT Imaging via Deep Learning. - Wenxiang Cong; Yan Xi; Paul Fitzgerald; Bruno De Man; Ge Wang 001 (Patterns, 2020)

Monochromatic image reconstruction via machine learning. - Wenxiang Cong; Yan Xi; Bruno De Man; Ge Wang 001 (Mach. Learn. Sci. Technol., 2021)

Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms. - Lin Fu; Bruno De Man (Vis. Comput. Ind. Biomed. Art, 2022)

Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions. - Jed D. Pack; Mufeng Xu; Ge Wang 001; Lohendran Baskaran; James Min; Bruno De Man (Vis. Comput. Ind. Biomed. Art, 2022)

A Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CT. - Grigorios M. Karageorgos; Jiayong Zhang; Nils Peters; Wenjun Xia; Chuang Niu; Harald Paganetti; Ge Wang 001; Bruno De Man (IEEE Trans. Medical Imaging, 2024)

Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. - Christopher Wiedeman; Peter Lorraine; Ge Wang 001; Richard K. G. Do; Amber L. Simpson; Jacob J. Peoples; Bruno De Man (Vis. Comput. Ind. Biomed. Art, 2024)

Cardiac Phase Estimation Using Deep Learning Analysis of Pulsed-Mode Projections: Toward Autonomous Cardiac CT Imaging. - Pengwei Wu; E. Haneda; Jed D. Pack; I. Heukensfeldt Jansen; Albert Hsiao; Elliot R. McVeigh; Bruno De Man (IEEE Trans. Medical Imaging, 2025)