Technical Program

Oct 1st, 2021

UTC 14:00 Keynote : Dr. Yonina Eldar

UTC 14:35 Oral Session 1 : Deep Learning for General Image Reconstruction

UTC 14:35 Real-time Video Denoising in Fluoroscopic Imaging

Dave Van Veen, Ben A. Duffy, Long Wang, Keshav Datta, Tao Zhang, Greg Zaharchuk, and Enhao Gong

UTC 14:46 Noise2Stack: Improving Image Restoration by Learning from Volumetric Data

Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon, Jarrod Shilts, Omer Bayraktar, Dmytro Fishman,

Kaupo Palo, and Leopold Parts

UTC 14:57 A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution

Qing Ma, Cae Chul Koh, and WonSook Lee

UTC 15:08 Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks

Canyu Yang, Dennis Eschweiler, and Johannes Stegmaier

UTC 15:25 Keynote : Deep Designed RF for MRI - Dr. Jongho Lee

UTC 16:00 Oral Session 2 : Deep Learning for Magnetic Resonance Imaging

UTC 16:00 Self-Supervised Dynamic MRI Reconstruction

Mert Acar, Tolga Cukur, and Ilkay Oksuz

UTC 16:11 One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline

Zhiwen Wang, Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, and Yi Zhang

UTC 16:22 Deep MRI Reconstruction with Generative Vision Transformers

Yilmaz Korkmaz, Mahmut Yurt, Salman Ul Hassan Dar, Muzaffer Ozbey, and Tolga Cukur

UTC 16:33 HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks

Alan Q. Wang, Adrian V. Dalca, and Mert R. Sabuncu

UTC 16:44 Break

UTC 16:55 Efficient Image Registration Network For Non-Rigid Cardiac Motion Estimation

Jiazhen Pan, Daniel Rueckert, Thomas Kuestner, Kerstin Hammernik

UTC 17:06 Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge

Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, et al.

UTC 17:17 A Simulation Pipeline to Generate Realistic Breast Images For Learning DCE-MRI Reconstruction

Zhengnan Huang, Jonghyun Bae, Patricia Johnson, Terlika Sood, Laura Heacock, Justin Fogarty, Linda Moy, Sungheon Gene Kim, and Florian Knoll

UTC 17:28 Distortion Removal and Deblurring of Single-Shot DWI MRI Scans

Ahana Roy Choudhury, Sachin R. Jambawalikar, Piyush Kumar, and Venkat Sumanth Reddy Bommireddy

UTC 17:39 Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI

Elena Martin-Gonzalez, Ebraham Alskaf, Amedeo Chiribiri, Pablo Casaseca-de-la-Higuera, Carlos Alberola-Lopez, Rita G. Nunes, and Teresa Correia

UTC 17:50 Closing Remarks