18 citations · 42 across the 9 of their papers we have counts for
9 papers
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans
Xinzi He, Jia Guo, Xuzhe Zhang +9
Unsupervised learning-based medical image registration approaches have witnessed rapid development in recent years. We propose to revisit a commonly ignored while simple and well-e…
PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer
Xuzhe Zhang, Xinzi He, Jia Guo +6
Magnetic resonance imaging (MRI) noninvasively provides critical information about how human brain structures develop across stages of life. Developmental scientists are particular…
Co-Seg: An Image Segmentation Framework Against Label Corruption
Ziyi Huang, Haofeng Zhang, Andrew Laine +3
Supervised deep learning performance is heavily tied to the availability of high-quality labels for training. Neural networks can gradually overfit corrupted labels if directly tra…
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening
Sang Won Lee, Yueh-Ting Chiu, Philip Brudnicki +7
Recent advances in the interdisciplinary scientific field of machine perception, computer vision, and biomedical engineering underpin a collection of machine learning algorithms wi…
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning
Jie Yang, Elsa D. Angelini, Pallavi P. Balte +5
Pulmonary emphysema overlaps considerably with chronic obstructive pulmonary disease (COPD), and is traditionally subcategorized into three subtypes previously identified on autops…
Substituting Gadolinium in Brain MRI Using DeepContrast
Haoran Sun, Xueqing Liu, Xinyang Feng +12
Cerebral blood volume (CBV) is a hemodynamic correlate of oxygen metabolism and reflects brain activity and function. High-resolution CBV maps can be generated using the steady-sta…