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Deep learning in medical imaging and radiation therapy

Medical physics (Lancaster), 2019-01, Vol.46 (1), p.e1-e36

2019

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Calibration of medical diagnostic classifier scores to the probability of disease

Statistical methods in medical research, 2018-05, Vol.27 (5), p.1394-1409

2018

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Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans

Medical physics (Lancaster), 2020-06, Vol.47 (5), p.2150-2160

2020

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3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT

IEEE journal of biomedical and health informatics, 2019-09, Vol.23 (5), p.2080-2090

2019

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Automatic lung nodule detection in thoracic CT scans using dilated slice‐wise convolutions

Medical physics (Lancaster), 2021-07, Vol.48 (7), p.3741-3751

2021

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Seamless Lesion Insertion for Data Augmentation in CAD Training

IEEE transactions on medical imaging, 2017-04, Vol.36 (4), p.1005-1015

2017

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Semi‐supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT

Medical physics (Lancaster), 2023-07, Vol.50 (7), p.4255-4268

2023

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Automatic Feature Extraction and Text Recognition From Scanned Topographic Maps

IEEE transactions on geoscience and remote sensing, 2011-12, Vol.49 (12), p.5047-5063

2011

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Seamless Insertion of Pulmonary Nodules in Chest CT Images

IEEE transactions on biomedical engineering, 2015-12, Vol.62 (12), p.2812-2827

2015

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The Use of Lossy Compression of Digital Mammograms for Primary Interpretation and Image Retention

American journal of roentgenology (1976), 2015-12, Vol.205 (6), p.W640-W641

2015

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Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT

Physics in medicine & biology, 2017-08, Vol.62 (18), p.7280-7299

2017

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Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve

SIAM journal on mathematics of data science, 2021-01, Vol.3 (2), p.692-714

2021

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Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning

Journal of medical imaging (Bellingham, Wash.), 2020-01, Vol.7 (1), p.012703-012703

2020

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Mapping DNN Embedding Manifolds for Network Generalization Prediction

2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, p.6513-6522

2023

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Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge

Academic radiology, 2019-07, Vol.26 (7), p.e161-e173

2019

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Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparison

Journal of medical imaging (Bellingham, Wash.), 2018-10, Vol.5 (4), p.044502-044502

2018

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Lung Nodule Malignancy Classification Based ON NLSTx Data

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.1870-1874

2020

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Improved Multi Angled Parallelism for separation of text from intersecting linear features in scanned topographic maps

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.1078-1081

2010

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Feature extraction and text recognition from scanned color topographic maps

Pezeshk, Aria

2011

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Character Degradation Model and HMM Word Recognition System for Text Extracted from Maps

Pezeshk, Aria

2011

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Extended character defect model for recognition of text from maps

2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI), 2010, p.85-88

2010

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Contour Line Recognition & Extraction from Scanned Colour Maps Using Dual Quantization of the Intensity Image

2008 IEEE Southwest Symposium on Image Analysis and Interpretation, 2008, p.173-176

2008

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Deep learning in medical imaging and radiation therapy

Calibration of medical diagnostic classifier scores to the probability of disease

Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans

3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT

Automatic lung nodule detection in thoracic CT scans using dilated slice‐wise convolutions

Seamless Lesion Insertion for Data Augmentation in CAD Training

Semi‐supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT

Automatic Feature Extraction and Text Recognition From Scanned Topographic Maps

Seamless Insertion of Pulmonary Nodules in Chest CT Images

The Use of Lossy Compression of Digital Mammograms for Primary Interpretation and Image Retention

Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT

Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve

Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning

Mapping DNN Embedding Manifolds for Network Generalization Prediction

Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge

Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparison

Lung Nodule Malignancy Classification Based ON NLSTx Data

Improved Multi Angled Parallelism for separation of text from intersecting linear features in scanned topographic maps

Feature extraction and text recognition from scanned color topographic maps

Character Degradation Model and HMM Word Recognition System for Text Extracted from Maps

Extended character defect model for recognition of text from maps

Contour Line Recognition & Extraction from Scanned Colour Maps Using Dual Quantization of the Intensity Image

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