| SESSION 1 |
| 8:00AM |
Opening remarks |
| 8:10AM |
Deep MR Reconstruction: Towards Plug & Play MRI (video available) |
Chris Hardy, GRC |
| 8:40 AM |
Deep Learning-based Universal Beamforming for Ultrasound Imaging (video and pdf available) |
Jong Chul Ye, KAIST |
| 9:10 AM |
Deep Learning in CT Image Reconstruction: Sinogram In, Image Out via iCT-Net (video available) |
Guang-Hong Chen, UW Madison |
| 9:40 AM |
Deep Learning Based Iterative PET Image Recon: Populational vs Personalize (video and pdf available) |
Quanzheng Li, MGH |
| 10:10 AM |
Coffee break |
| SESSION 2 |
| 10:30 AM |
Speeding up MRI with deep learning: Denoising fewer averages & reconstructing fewer samples |
Ricardo Otazo, MSK |
| 11:00 AM |
Principle-task-driven Machine Learning for Low-dose Computed Tomography Reconstruction (video and ppt available) |
Jerome Liang, Stony Brook U |
| 11:30 AM |
Cutting through the fog: Removing clutter in ultrasound B-Mode (video available) |
Brett Byram, Vanderbilt U |
| 12:00 PM |
Lunch |
| SESSION 3 |
| 1:00 PM |
Life at the bottom: how low SNR inspired a new reconstruction paradigm (video available) |
Matthew Rosen, MGH |
| 1:30 PM |
Machine learning in spectral CT(video, pdf and ppt available) |
Hengyong Yu, U Mass-Lowell |
| 2:00 PM |
Deep learning in quantitative SPECT and PET image reconstruction and processing (video and pdf available) |
Chi Liu, Yale U |
| 2:30 PM |
Ultrasound Imaging: Deep and Hybrid (video, pdf and ppt available) |
Ge Wang, RPI |
| 3:00 PM |
Coffee break |
| SESSION 4 |
| 3:20 PM |
Reimagining MRI in the era of learned image reconstruction |
Patricia Johnson, NYU |
| 3:50 PM |
A hierarchical approach to deep learning and its application to tomographic reconstruction (video available) |
Lin Fu, GRC |
| 4:20 PM |
NIBIB perspective on Deep Imaging |
Behrouz Shabestari, NIBIB |
| 4:50 PM |
Closing remarks |
| 5:00 PM |
ADJOURN |
