Michael Hansen

Director, Principal Researcher

论文与出版物

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- Analog optical computer for AI inference and combinatorial optimization
  
  Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O’Shea, Lucinda Pickup, Saravan Rajmohan, Ant Rowstron, Victor Ruehle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani
  
  Nature | September 2025
  
  Publication 项目
- 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 项目
- 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 项目
- 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, 第 arXiv:2109.03812 卷
  
  Publication Github 项目

- Analog optical computer for AI inference and combinatorial optimization
  
  Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O’Shea, Lucinda Pickup, Saravan Rajmohan, Ant Rowstron, Victor Ruehle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani
  
  Nature | September 2025
  
  Publication 项目
- 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 项目
- 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 项目
- 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, 第 arXiv:2109.03812 卷
  
  Publication Github 项目
- 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 项目
- 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 项目
- 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 项目
- 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, 第 arXiv:2109.03812 卷
  
  Publication Github 项目

- Analog optical computer for AI inference and combinatorial optimization
  
  Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O’Shea, Lucinda Pickup, Saravan Rajmohan, Ant Rowstron, Victor Ruehle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani
  
  Nature | September 2025
  
  Publication 项目
- 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 项目
- 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, 第 arXiv:2109.03812 卷
  
  Publication Github 项目
- 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 项目

Michael Hansen

论文与出版物

Analog optical computer for AI inference and combinatorial optimization

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Analog optical computer for AI inference and combinatorial optimization

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Analog optical computer for AI inference and combinatorial optimization

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging