Michael Hansen

Director, Principal Researcher

Papiers de Collaboration

Afficher par:

- Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging
  
  Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen
  
  April 2025
  
  Publication Projet
- SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
  
  Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen
  
  March 2025
  
  Under review
  
  Publication Projet
- End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction
  
  Ruiyang Zhao, Yuxin Zhang, Matthew P. Lungren, Michael Hansen
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, (arXiv:2109.11524)
  
  Publication
- fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
  
  Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael Hansen, Matthew P. Lungren
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, Vol arXiv:2109.03812
  
  Publication Github Projet

- Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging
  
  Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen
  
  April 2025
  
  Publication Projet
- SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
  
  Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen
  
  March 2025
  
  Under review
  
  Publication Projet
- End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction
  
  Ruiyang Zhao, Yuxin Zhang, Matthew P. Lungren, Michael Hansen
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, (arXiv:2109.11524)
  
  Publication
- fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
  
  Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael Hansen, Matthew P. Lungren
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, Vol arXiv:2109.03812
  
  Publication Github Projet
- Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging
  
  Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen
  
  April 2025
  
  Publication Projet
- Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging
  
  Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen
  
  April 2025
  
  Publication Projet
- SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
  
  Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen
  
  March 2025
  
  Under review
  
  Publication Projet
- fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
  
  Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael Hansen, Matthew P. Lungren
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, Vol arXiv:2109.03812
  
  Publication Github Projet

- Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging
  
  Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen
  
  April 2025
  
  Publication Projet
- SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
  
  Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen
  
  March 2025
  
  Under review
  
  Publication Projet
- End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction
  
  Ruiyang Zhao, Yuxin Zhang, Matthew P. Lungren, Michael Hansen
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, (arXiv:2109.11524)
  
  Publication
- fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
  
  Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael Hansen, Matthew P. Lungren
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, Vol arXiv:2109.03812
  
  Publication Github Projet