Name
Playground
About
FAQ
GitHub
Playground
Shortest Path Finder
Community Detector
Connected Papers
Author Trending
Bhupendra Singh
Marco Vannucci
Yishay Mor
Silvia Scirpoli
Songhua Li
Sebastian Magda
David MacDonald
Bilal S. Raja
Konstantinos Karanasos
Meng Jiang
Home
/
Author
/
HEBER MACMAHON
Author Info
Open Visualization
Name
Affiliation
Papers
HEBER MACMAHON
The University of Chicago Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, MC2026 5841 S. Maryland Avenue Chicago IL 60637 USA
32
Collaborators
Citations
PageRank
110
202
31.61
Referers
Referees
References
756
266
71
Search Limit
100
756
Publications (32 rows)
Collaborators (100 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Towards Radiologist-Level Cancer Risk Assessment In Ct Lung Screening Using Deep Learning
0
0.34
2021
Network Output Visualization To Uncover Limitations Of Deep Learning Detection Of Pneumothorax
2
0.49
2020
Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity.
0
0.34
2018
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.
0
0.34
2018
Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data.
1
0.37
2017
Improved computerized detection of lung nodules in chest radiographs by means of 'virtual dual-energy' radiography
0
0.34
2011
Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes
1
0.35
2011
True Detection Versus "Accidental" Detection of Small Lung Cancer by a Computer-Aided Detection (CAD) Program on Chest Radiographs
1
0.36
2010
Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data
0
0.34
2007
The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation
53
3.02
2007
The Lung Image Database Consortium (LIDC): Pulmonary nodule measurements, the variation and the difference between different size metrics
2
0.41
2007
Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).
22
1.53
2006
Computer-aided diagnosis for detection of cardiomegaly in digital chest radiographs
1
0.41
2005
Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs
3
0.45
2005
Usefulness Of Computerized Scheme For Differentiating Benign From Malignant Lung Nodules On High-Resolution Ct
0
0.34
2004
Automated Lung Segmentation And Computer-Aided Diagnosis For Thoracic Ct Scans
10
0.91
2003
Computerized analysis of interstitial lung diseases on chest radiographs based on lung texture, geometric-pattern features, and artificial neural networks
2
1.87
2002
Computerized detection of pulmonary embolism in spiral CT angiography based on volumetric image analysis.
28
2.41
2002
Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans
4
0.55
2001
Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme
1
0.43
2001
Analysis of a three-dimensional lung nodule detection method for thoracic CT scans
3
0.42
2000
Three-dimensional approach to lung nodule detection in helical CT
5
0.96
1999
Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility.
0
0.34
1999
Application of temporal subtraction for detection of interval changes on chest radiographs: improvement of subtraction images using automated initial image matching.
15
3.64
1999
Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography.
8
1.27
1999
Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs
11
1.07
1998
Automated detection of pulmonary nodules in helical computed tomography images of the thorax
3
0.81
1998
Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease.
7
0.85
1998
Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks.
6
0.83
1997
Quantitative analysis of geometric-pattern features of interstitial infiltrates in digital chest radiographs: preliminary results.
7
1.90
1996
Development of a digital duplication system for portable chest radiographs
1
0.43
1994
Neural network approach for differential diagnosis of interstitial lung diseases
5
3.49
1990
1