Oct. 18 |
12:00–12:55pm |
Registration & Lunch |
12:55–01:00pm |
Ge Wang |
RPI, BME |
Opening Remarks |
01:00–01:30pm |
Bruno De Man |
GE GRC |
Raw Data Learning Opportunities in CT |
01:30–02:00pm |
Quanzheng Li |
Harvard MGH |
Deep Learning Based Image Reconstruction with Noise Inputs |
02:00–02:30pm |
Birsen Yazici |
RPI, ECSE |
Deep Learning for Computational Imaging |
02:30–03:00pm |
Hengyong Yu |
Univ. of Mass. Lowell |
CNN-based Metal Artifact Reduction in CT |
03:00–03:30pm |
Pingkun Yan |
RPI, BME |
Hybrid Imaging via Deep Learning |
03:30–04:00pm |
Ruoyang Yao |
RPI, BME |
Compressed Fluorescence Lifetime Imaging with Deep Learning |
04:00–05:00pm |
Free Discussion |
05:00–07:00pm |
Dinner |
Oct. 19 |
09:00–09:30am |
Kerstin Hammernik |
NYU Medical Center |
Learning a Variational Network for Accelerated MRI |
09:30–10:00am |
Ye Duan |
Univ. of Missouri |
Synthesis of X-ray Projections via Deep Learning |
10:00–10:30am |
Enhao Gong |
Stanford |
Deep GAN for Compressed Sensing MRI |
10:30–11:00am |
Qingsong Yang |
RPI, BME |
GAN-based Image Denoising with Perceptual Measurement |
11:00–11:30am |
Wenxiang Cong |
RPI, BME |
Beam Hardening Correction with Deep Learning |
11:30–12:00pm |
Ruibin Feng |
RPI, BME |
Machine Learning for Photon-counting CT |
12:00–01:00pm |
Lunch |
01:00–01:30pm |
Fenglei Fan |
RPI, BME |
Machine Learning with Quadratic Neurons |
01:30–02:00pm |
Hongming Shan |
RPI, BME |
Transfer Learning for Low-dose CT Denoising |
02:00–02:30pm |
Florian Knoll |
NYU Medical Center |
Clinical Evaluation of Machine Learning for MRI |
02:30–03:00pm |
Lars Gjesteby |
RPI, BME |
Metal Artifact Reduction via Deep Learning |
03:00–03:30pm |
Uwe Kruger |
RPI, BME |
Projection-based Chemometric and Deep Reconstruction |
03:30–04:00pm |
He Yang |
Augusta Univ. |
Deep Learning for Dual-energy CT |
04:00–04:10pm |
Ge Wang |
RPI, BME |
Close remarks |
04:10–05:00pm |
Free Discussion |