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Featured Co-authors

Jie Yang
158 publications
Yefeng Zheng
117 publications
Yuankai Huo
95 publications
S. Kevin Zhou
90 publications
Andreas Maier
84 publications
Daguang Xu
65 publications
Dong Yang
63 publications
Yue Cao
61 publications
Dimitris Metaxas
59 publications
Ghassan Hamarneh
48 publications
Siqi Liu
47 publications

∙ 06/18/2023

Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge

Among all the sub-sections in a typical radiology report, the Clinical I...

0 Manuela Daniela Danu, et al. ∙

∙ 01/04/2022

Self-supervised Learning from 100 Million Medical Images

Building accurate and robust artificial intelligence systems for medical...

462 Florin C. Ghesu, et al. ∙

∙ 08/13/2020

Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digita

Purpose: To leverage volumetric quantification of airspace disease (AD) ...

67 Eduardo Mortani Barbosa Jr., et al. ∙

∙ 07/08/2020

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

The interpretation of medical images is a challenging task, often compli...

27 Florin C. Ghesu, et al. ∙

∙ 06/09/2020

Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort

Purpose: To investigate if AI-based classifiers can distinguish COVID-19...

31 Bogdan Georgescu, et al. ∙

∙ 06/09/2020

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Purpose: To present a method that automatically segments and quantifies ...

18 Shikha Chaganti, et al. ∙

∙ 05/05/2020

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19

The Coronavirus Disease (COVID-19) has affected 1.8 million people and r...

28 Siqi Liu, et al. ∙

∙ 04/02/2020

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT

Purpose: To present a method that automatically detects and quantifies a...

12 Shikha Chaganti, et al. ∙

∙ 03/18/2020

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images

With the injection of contrast material into blood vessels, multi-phase ...

8 Donghao Zhang, et al. ∙

∙ 03/08/2020

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks

Detecting malignant pulmonary nodules at an early stage can allow medica...

6 Siqi Liu, et al. ∙

∙ 06/18/2019

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment

The interpretation of chest radiographs is an essential task for the det...

2 Florin C. Ghesu, et al. ∙

∙ 05/15/2019

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels

Chest X-ray (CXR) is the most common X-ray examination performed in dail...

5 Sebastian Guendel, et al. ∙

∙ 12/28/2018

Class-Aware Adversarial Lung Nodule Synthesis in CT Images

Though large-scale datasets are essential for training deep learning sys...

14 Jie Yang, et al. ∙

∙ 12/04/2018

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition

The performance of medical image analysis systems is constrained by the ...

4 Siqi Liu, et al. ∙

∙ 05/25/2018

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images

An abdominal ultrasound examination, which is the most common ultrasound...

0 Zhoubing Xu, et al. ∙

∙ 04/14/2018

Select, Attend, and Transfer: Light, Learnable Skip Connections

Skip connections in deep networks have improved both segmentation and cl...

0 Saeid Asgari Taghanaki, et al. ∙

∙ 03/12/2018

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

Chest X-ray is the most common medical imaging exam used to assess multi...

0 Sebastian Guendel, et al. ∙

∙ 11/23/2017

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

While deep convolutional neural networks (CNN) have been successfully ap...

0 Siqi Liu, et al. ∙

∙ 07/25/2017

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Automatic liver segmentation in 3D medical images is essential in many c...

0 Dong Yang, et al. ∙

∙ 11/30/2016

An Artificial Agent for Robust Image Registration

3-D image registration, which involves aligning two or more images, is a...

0 Rui Liao, et al. ∙

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