1.7k citations · 2.1k across the 5 of their papers we have counts for
5 papers
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu +4
Accurate image reconstruction is at the heart of diagnostics in medical imaging. Supervised deep learning-based approaches have been investigated for solving inverse problems inclu…
On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy
David E. J. Waddington, Nicholas Hindley, Neha Koonjoo +8
MRI-guidance techniques that dynamically adapt radiation beams to follow tumor motion in real-time will lead to more accurate cancer treatments and reduced collateral healthy tissu…
An End-to-End AI-Based Framework for Automated Discovery of CEST/MT MR Fingerprinting Acquisition Protocols and Quantitative Deep Reconstruction (AutoCEST)
Or Perlman, Bo Zhu, Moritz Zaiss +2
Purpose: To develop an automated machine-learning-based method for the discovery of rapid and quantitative chemical exchange saturation transfer (CEST) MR fingerprinting acquisitio…
MR fingerprinting Deep RecOnstruction NEtwork (DRONE)
Ouri Cohen, Bo Zhu, Matthew S. Rosen
PURPOSE: Demonstrate a novel fast method for reconstruction of multi-dimensional MR Fingerprinting (MRF) data using Deep Learning methods. METHODS: A neural network (NN) is defined…
Image reconstruction by domain transform manifold learning
Bo Zhu, Jeremiah Z. Liu, Bruce R. Rosen +1
Image reconstruction plays a critical role in the implementation of all contemporary imaging modalities across the physical and life sciences including optical, MRI, CT, PET, and r…