activity
20162023
most citedDiscriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules

163 citations · 229 across the 14 of their papers we have counts for

collaborators

14 papers

q-bio.QM2023★ 2 cited

Deep Learning Enables Reduced Gadolinium Dose for Contrast-Enhanced Blood-Brain Barrier Opening

P. Lee, H. Wei, A. N. Pouliopoulos +7

Focused ultrasound (FUS) can be used to open the blood-brain barrier (BBB), and MRI with contrast agents can detect that opening. However, repeated use of gadolinium-based contrast…

eess.IV2022★ 21 cited

Improving Across-Dataset Brain Tissue Segmentation Using Transformer

Vishwanatha M. Rao, Zihan Wan, Soroush Arabshahi +6

Brain tissue segmentation has demonstrated great utility in quantifying MRI data through Voxel-Based Morphometry and highlighting subtle structural changes associated with various…

cs.CV2021★ 1 cited

Automated Multi-Process CTC Detection using Deep Learning

Elena Alexander, Kam W. Leong, Andrew F. Laine

Circulating Tumor Cells (CTCs) bear great promise as biomarkers in tumor prognosis. However, the process of identification and later enumeration of CTCs require manual labor, which…

eess.IV2021★ 9 cited

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…

eess.IV2021★ 18 cited

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…

cs.LG2021★ 1 cited

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…

eess.IV2020★ 2 cited

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…

cs.CV2020★ 1 cited

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…

q-bio.QM2020★ 3 cited

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…

q-bio.QM2020★ 2 cited

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

Nanyan Zhu, Chen Liu, Zakary S. Singer +3

The ability to extrapolate gene expression dynamics in living single cells requires robust cell segmentation, and one of the challenges is the amorphous or irregularly shaped cell…

cs.CV2018★ 5 cited

Class-Aware Adversarial Lung Nodule Synthesis in CT Images

Jie Yang, Siqi Liu, Sasa Grbic +7

Though large-scale datasets are essential for training deep learning systems, it is expensive to scale up the collection of medical imaging datasets. Synthesizing the objects of in…

cs.CV2018★ 1 cited

Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis

Xinyang Feng, Jie Yang, Andrew F. Laine +1

In neuroimaging studies, the human cortex is commonly modeled as a sphere to preserve the topological structure of the cortical surface. Cortical neuroimaging measures hence can be…

cs.CV2017★ 163 cited

Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules

Xinyang Feng, Jie Yang, Andrew F. Laine +1

Automated detection and segmentation of pulmonary nodules on lung computed tomography (CT) scans can facilitate early lung cancer diagnosis. Existing supervised approaches for auto…

cs.CV2016

Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study

Jie Yang, Elsa D. Angelini, Benjamin M. Smith +5

Pulmonary emphysema is traditionally subcategorized into three subtypes, which have distinct radiological appearances on computed tomography (CT) and can help with the diagnosis of…