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
100756
Title
Citations
PageRank
Year
Towards Radiologist-Level Cancer Risk Assessment In Ct Lung Screening Using Deep Learning00.342021
Network Output Visualization To Uncover Limitations Of Deep Learning Detection Of Pneumothorax20.492020
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.00.342018
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.00.342018
Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data.10.372017
Improved computerized detection of lung nodules in chest radiographs by means of 'virtual dual-energy' radiography00.342011
Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes10.352011
True Detection Versus "Accidental" Detection of Small Lung Cancer by a Computer-Aided Detection (CAD) Program on Chest Radiographs10.362010
Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data00.342007
The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation533.022007
The Lung Image Database Consortium (LIDC): Pulmonary nodule measurements, the variation and the difference between different size metrics20.412007
Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).221.532006
Computer-aided diagnosis for detection of cardiomegaly in digital chest radiographs10.412005
Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs30.452005
Usefulness Of Computerized Scheme For Differentiating Benign From Malignant Lung Nodules On High-Resolution Ct00.342004
Automated Lung Segmentation And Computer-Aided Diagnosis For Thoracic Ct Scans100.912003
Computerized analysis of interstitial lung diseases on chest radiographs based on lung texture, geometric-pattern features, and artificial neural networks21.872002
Computerized detection of pulmonary embolism in spiral CT angiography based on volumetric image analysis.282.412002
Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans40.552001
Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme10.432001
Analysis of a three-dimensional lung nodule detection method for thoracic CT scans30.422000
Three-dimensional approach to lung nodule detection in helical CT50.961999
Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility.00.341999
Application of temporal subtraction for detection of interval changes on chest radiographs: improvement of subtraction images using automated initial image matching.153.641999
Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography.81.271999
Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs111.071998
Automated detection of pulmonary nodules in helical computed tomography images of the thorax30.811998
Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease.70.851998
Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks.60.831997
Quantitative analysis of geometric-pattern features of interstitial infiltrates in digital chest radiographs: preliminary results.71.901996
Development of a digital duplication system for portable chest radiographs10.431994
Neural network approach for differential diagnosis of interstitial lung diseases53.491990