Neural network approach for differential diagnosis of interstitial lung diseases. - Naoki Asada; Kunio Doi; Heber MacMahon; Steven M. Montner; Maryellen Lissak Giger; Chihiro Abe; Chris Yuzheng Wu (Image Processing, 1990)

Relative Effects of Resolution and Quantization on the Quality of Compressed Medical Images. - Barry J. Sullivan; Rashid Ansari; Maryellen L. Giger; Heber MacMahon (ICIP (2), 1994)

Development of a digital duplication system for portable chest radiographs. - Kenneth R. Hoffmann; Kunio Doi; Heber MacMahon; Maryellen L. Giger; Robert M. Nishikawa; Xin-Wei Xu; Lian Yao; Akiko Kano; Michael Carlin (J. Digit. Imaging, 1994)

Effects of image preprocessing/resizing on diagnostic quality of compressed medical images [chest radiographs application]. - Barry J. Sullivan; Rashid Ansari; Maryellen L. Giger; Heber MacMahon (ICIP, 1995)

Quantitative analysis of geometric-pattern features of interstitial infiltrates in digital chest radiographs: Preliminary results. - Shigehiko Katsuragawa; Kunio Doi; Heber MacMahon; Laurence Monnier-Cholley; Junji Morishita; Takayuki Ishida (J. Digit. Imaging, 1996)

Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks. - Shigehiko Katsuragawa; Kunio Doi; Heber MacMahon; Laurence Monnier-Cholley; Takayuki Ishida; Takeshi Kobayashi (J. Digit. Imaging, 1997)

Automated detection of pulmonary nodules in helical computed tomography images of the thorax. - Samuel G. Armato; Maryellen Lissak Giger; Catherine J. Moran; Heber MacMahon; Kunio Doi (Image Processing, 1998)

Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs. - Xin-Wei Xu; Shigehiko Katsuragawa; Kazuto Ashizawa; Heber MacMahon; Kunio Doi (Image Processing, 1998)

Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease. - Takayuki Ishida; Shigehiko Katsuragawa; Kazuto Ashizawa; Heber MacMahon; Kunio Doi (J. Digit. Imaging, 1998)

Three-dimensional approach to lung nodule detection in helical CT. - Samuel G. Armato; Maryellen Lissak Giger; James T. Blackburn; Kunio Doi; Heber MacMahon (Image Processing, 1999)

Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility. - Samuel G. Armato III; Maryellen L. Giger; Heber MacMahon (J. Digit. Imaging, 1999)

Application of temporal subtraction for detection of interval changes on chest radiographs: Improvement of subtraction images using automated initial image matching. - Takayuki Ishida; Kazuto Ashizawa; Roger Engelmann; Shigehiko Katsuragawa; Heber MacMahon; Kunio Doi (J. Digit. Imaging, 1999)

Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography. - Shigehiko Katsuragawa; Hiroyuki Tagashira; Qiang Li 018; Heber MacMahon; Kunio Doi (J. Digit. Imaging, 1999)

Analysis of a three-dimensional lung nodule detection method for thoracic CT scans. - Samuel G. Armato; Maryellen Lissak Giger; Heber MacMahon (Image Processing, 2000)

Computer-assisted detection of pulmonary embolism. - Yoshitaka Masutani; Heber MacMahon; Kunio Doi (Image Processing, 2000)

Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans. - Samuel G. Armato; Maryellen Lissak Giger; Kunio Doi; Ulrich Bick; Heber MacMahon (Image Processing, 2001)

Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme. - Qiang Li 018; Shigehiko Katsuragawa; Roger M. Engelmann; Samuel G. Armato; Heber MacMahon; Kunio Doi (Image Processing, 2001)

Computerized analysis of interstitial lung diseases on chest radiographs based on lung texture, geometric-pattern features, and artificial neural networks. - Takayuki Ishida; Shigehiko Katsuragawa; Katsumi Nakamura; Kazuto Ashizawa; Heber MacMahon; Kunio Doi (Image Processing, 2002)

Computerized Detection of Pulmonary Embolism in Spiral CT Angiography Based on Volumetric Image Analysis. - Yoshitaka Masutani; Heber MacMahon; Kunio Doi (IEEE Trans. Medical Imaging, 2002)

Automated lung segmentation and computer-aided diagnosis for thoracic CT scans. - Samuel G. Armato III; Heber MacMahon (CARS, 2003)

Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT. - Feng Li 018; Qiang Li 018; Masahito Aoyama; Junji Shiraishi; Hiroyuki Abe; Kenji Suzuki 001; Roger Engelmann; Shusuke Sone; Heber MacMahon; Kunio Doi (CARS, 2004)

Computer-aided diagnosis for detection of cardiomegaly in digital chest radiographs. - Takayuki Ishida; Shigehiko Katsuragawa; Koichi Chida; Heber MacMahon; Kunio Doi (Image Processing, 2005)

Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs. - Kenji Suzuki 001; Junji Shiraishi; Feng Li 018; Hiroyuki Abe; Heber MacMahon; Kunio Doi (Image Processing, 2005)

Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). - Kenji Suzuki 001; Hiroyuki Abe; Heber MacMahon; Kunio Doi (IEEE Trans. Medical Imaging, 2006)

The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies. - Samuel G. Armato; Rachael Y. Roberts; Geoffrey McLennan; Michael F. McNitt-Gray; David F. Yankelevitz; Ella A. Kazerooni; Edwin J. R. van Beek; Heber MacMahon; Denise R. Aberle; Charles R. Meyer; Anthony P. Reeves; Claudia I. Henschke; et al. (Computer-Aided Diagnosis, 2007)

Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data. - Satoshi Kasai; Feng Li 018; Junji Shiraishi; Qiang Li 018; Christopher Straus; Tamara Vokes; Heber MacMahon; Kunio Doi (Computer-Aided Diagnosis, 2007)

The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. - Michael F. McNitt-Gray; Samuel G. Armato; Charles R. Meyer; Anthony P. Reeves; Geoffrey McLennan; Richard C. Pais; J. Freymann; Matthew S. Brown; Roger M. Engelmann; Peyton H. Bland; G. E. Laderach; C. Piker; et al. (Computer-Aided Diagnosis, 2007)

The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics. - Anthony P. Reeves; Alberto M. Biancardi; Tatiyana V. Apanasovich; Charles R. Meyer; Heber MacMahon; Edwin J. R. van Beek; Ella A. Kazerooni; David F. Yankelevitz; Michael F. McNitt-Gray; Geoffrey McLennan; Samuel G. Armato; Denise R. Aberle; et al. (Computer-Aided Diagnosis, 2007)

True Detection Versus "Accidental" Detection of Small Lung Cancer by a Computer-Aided Detection (CAD) Program on Chest Radiographs. - Feng Li 018; Roger Engelmann; Kunio Doi; Heber MacMahon (J. Digit. Imaging, 2010)

Improved computerized detection of lung nodules in chest radiographs by means of 'virtual dual-energy' radiography. - Sophia Chen; Kenji Suzuki 001; Heber MacMahon (Computer-Aided Diagnosis, 2011)

Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes. - Kenji Suzuki 001; Samuel G. Armato III; Roger Engelmann; Philip Caligiuri; Heber MacMahon (Computer-Aided Diagnosis, 2011)

Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data. - Rafael Wiemker; Merlijn Sevenster; Heber MacMahon; Feng Li 018; Sandeep Dalal; Amir Tahmasebi; Tobias Klinder (Computer-Aided Diagnosis, 2017)

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. - Noriaki Hashimoto; Kenji Suzuki 001; Junchi Liu; Yasushi Hirano; Heber MacMahon; Shoji Kido (Computer-Aided Diagnosis, 2018)

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. - Stojan Trajanovski; Dimitrios Mavroeidis; Christine Leon Swisher; Binyam Gebrekidan Gebre; Bas Veeling; Rafael Wiemker; Tobias Klinder; Amir Tahmasebi; Shawn M. Regis; Christoph Wald; Brady J. McKee; Heber MacMahon; et al. (CoRR, 2018)

Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasets. - Jennie Crosby; Thomas Rhines; Feng Li 018; Heber MacMahon; Maryellen L. Giger (Computer-Aided Diagnosis, 2020)

Network output visualization to uncover limitations of deep learning detection of pneumothorax. - Jennie Crosby; Sophia Chen; Feng Li 018; Heber MacMahon; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2020)

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. - Stojan Trajanovski; Dimitrios Mavroeidis; Christine Leon Swisher; Binyam Gebrekidan Gebre; Bastiaan S. Veeling; Rafael Wiemker; Tobias Klinder; Amir Tahmasebi; Shawn M. Regis; Christoph Wald; Brady J. McKee; Sebastian Flacke; et al. (Comput. Medical Imaging Graph., 2021)

Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. - Feng Li 018; Samuel G. Armato; Roger Engelmann; Thomas Rhines; Jennie Crosby; Li Lan; Maryellen L. Giger; Heber MacMahon (J. Digit. Imaging, 2021)