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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

Scientific reports, 2016-05, Vol.6 (1), p.26286-26286, Article 26286

2016

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A survey on deep learning in medical image analysis

Medical image analysis, 2017-12, Vol.42, p.60-88

2017

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Large scale deep learning for computer aided detection of mammographic lesions

Medical image analysis, 2017-01, Vol.35, p.303-312

2017

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Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning

Biomedical optics express, 2019-02, Vol.10 (2), p.892-913

2019

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Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography

Investigative ophthalmology & visual science, 2017-04, Vol.58 (4), p.2318-2328

2017

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Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis

IEEE transactions on medical imaging, 2015-12, Vol.34 (12), p.2429-2442

2015

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Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks

Biomedical optics express, 2017-07, Vol.8 (7), p.3292-3316

2017

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Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography

Biomedical optics express, 2018-04, Vol.9 (4), p.1545-1569

2018

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A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays

IEEE transactions on medical imaging, 2015-01, Vol.34 (1), p.179-192

2015

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Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

Radiology, 2021-01, Vol.298 (1), p.E18-E28

2021

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An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information

Scientific reports, 2016-04, Vol.6 (1), p.25265-25265, Article 25265

2016

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Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age‐related macular degeneration

Acta ophthalmologica (Oxford, England), 2020-06, Vol.98 (4), p.368-377

2020

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Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management

Radiology, 2015-12, Vol.277 (3), p.863-871

2015

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On retrospective k-space subsampling schemes for deep MRI reconstruction

Magnetic resonance imaging, 2024-04, Vol.107, p.33-46

2024

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A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History

Ophthalmology (Rochester, Minn.), 2020-08, Vol.127 (8), p.1086-1096

2020

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Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography

Medical image analysis, 2024-10, Vol.97, p.103259, Article 103259

2024

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MACUSTAR: Development and Clinical Validation of Functional, Structural, and Patient-Reported Endpoints in Intermediate Age-Related Macular Degeneration

Ophthalmologica (Basel), 2019-01, Vol.241 (2), p.61-72

2019

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Retinal image analysis based on mixture models to detect hard exudates

Medical image analysis, 2009-08, Vol.13 (4), p.650-658

2009

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Deep Learning for Histopathological Assessment of Esophageal Adenocarcinoma Precursor Lesions

Modern pathology, 2024-08, Vol.37 (8), p.100531, Article 100531

2024

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Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome

Medical image analysis, 2025-01, Vol.99, p.103330, Article 103330

2025

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Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality

PloS one, 2017-12, Vol.12 (12), p.e0188902-e0188902

2017

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Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation

IEEE transactions on medical imaging, 2012-05, Vol.31 (5), p.1034-1042

2012

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Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration

Scientific reports, 2019-04, Vol.9 (1), p.6611-6611, Article 6611

2019

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Neural network based detection of hard exudates in retinal images

Computer methods and programs in biomedicine, 2009-01, Vol.93 (1), p.9-19

2009

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Automatic detection of the foveal center in optical coherence tomography

Biomedical optics express, 2017-11, Vol.8 (11), p.5160-5178

2017

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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

A survey on deep learning in medical image analysis

Large scale deep learning for computer aided detection of mammographic lesions

Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning

Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography

Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis

Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks

Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography

A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age‐related macular degeneration

Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management

On retrospective k-space subsampling schemes for deep MRI reconstruction

A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History

Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography

MACUSTAR: Development and Clinical Validation of Functional, Structural, and Patient-Reported Endpoints in Intermediate Age-Related Macular Degeneration

Retinal image analysis based on mixture models to detect hard exudates

Deep Learning for Histopathological Assessment of Esophageal Adenocarcinoma Precursor Lesions

Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome

Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality

Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation

Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration

Neural network based detection of hard exudates in retinal images

Automatic detection of the foveal center in optical coherence tomography

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