Bruno De Man

According to our database, Bruno De Man authored at least 21 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction.

Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard K. G. Do, Amber L. Simpson, Jacob J. Peoples, Bruno De Man

Vis. Comput. Ind. Biomed. Art, December, 2024

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, Bruno De Man

IEEE Trans. Medical Imaging, October, 2024

2022

Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions.

Jed D. Pack, Mufeng Xu, Ge Wang, Lohendran Baskaran, James Min, Bruno De Man

Vis. Comput. Ind. Biomed. Art, 2022

Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms.

Lin Fu, Bruno De Man

Vis. Comput. Ind. Biomed. Art, 2022

2021

Monochromatic image reconstruction via machine learning.

Wenxiang Cong, Yan Xi, Bruno De Man, Ge Wang

Mach. Learn. Sci. Technol., 2021

2020

Virtual Monoenergetic CT Imaging via Deep Learning.

Wenxiang Cong, Yan Xi, Paul Fitzgerald, Bruno De Man, Ge Wang

Patterns, 2020

Deep learning for tomographic image reconstruction.

Ge Wang, Jong Chul Ye, Bruno De Man

Nat. Mach. Intell., 2020

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

Proceedings of the Medical Imaging 2020: Image Perception, 2020

2019

A hierarchical approach to deep learning and its application to tomographic reconstruction.

Lin Fu, Bruno De Man

CoRR, 2019

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

GPU-Based Branchless Distance-Driven Projection and Backprojection.

Rui Liu, Lin Fu, Bruno De Man, Hengyong Yu

IEEE Trans. Computational Imaging, 2017

2016

Energy Window Optimization for X-Ray K-Edge Tomographic Imaging.

Bo Meng, Wenxiang Cong, Yan Xi, Bruno De Man, Ge Wang

IEEE Trans. Biomed. Eng., 2016

Estimation of Radiation Dose in CT Based on Projection Data.

Xiaoyu Tian, Zhye Yin, Bruno De Man, Ehsan Samei

J. Digit. Imaging, 2016

High-kVp Assisted Metal Artifact Reduction for X-Ray Computed Tomography.

Yan Xi, Yannan Jin, Bruno De Man, Ge Wang

IEEE Access, 2016

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

IEEE Access, 2016

2014

Multisource X-Ray and CT: Lessons Learned and Future Outlook.

Vasile Bogdan Neculaes, Peter M. Edic, Mark Frontera, Antonio Caiafa, Ge Wang, Bruno De Man

IEEE Access, 2014

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

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2010

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

2009

3D Analytic Cone-Beam Reconstruction for Multiaxial CT Acquisitions.

Zhye Yin, Bruno De Man, Jed D. Pack

Int. J. Biomed. Imaging, 2009

2006

Branchless distance driven projection and backprojection.

Samit Basu, Bruno De Man

Proceedings of the Computational Imaging IV, San Jose, 2006

2001

An Iterative Maximum-Likelihood Polychromatic Algorithm for CT.

Bruno De Man, Johan Nuyts, Patrick Dupont, Guy Marchal, Paul Suetens

IEEE Trans. Medical Imaging, 2001