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Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge

NeuroImage (Orlando, Fla.), 2015-05, Vol.111, p.562-579

2015

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Radiomics: Images Are More than Pictures, They Are Data

Radiology, 2016-02, Vol.278 (2), p.563-577

2016

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A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

Medical physics (Lancaster), 2017-10, Vol.44 (10), p.5162-5171

2017

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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Nature medicine, 2019-06, Vol.25 (6), p.954-961

2019

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Machine learning in medicine: a practical introduction

BMC medical research methodology, 2019-03, Vol.19 (1), p.64-64, Article 64

2019

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Computer‐aided diagnosis in the era of deep learning

Medical physics (Lancaster), 2020-06, Vol.47 (5), p.e218-e227

2020

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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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Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

Nature communications, 2020-08, Vol.11 (1), p.4294-4294, Article 4294

2020

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Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy

Gastroenterology (New York, N.Y. 1943), 2018-10, Vol.155 (4), p.1069-1078.e8

2018

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A review of wearable sensors and systems with application in rehabilitation

Journal of neuroengineering and rehabilitation, 2012-04, Vol.9 (1), p.21-21, Article 21

2012

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Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives

Radiology, 2019-11, Vol.293 (2), p.246-259

2019

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Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking

Gastroenterology (New York, N.Y. 1943), 2020-03, Vol.158 (4), p.915-929.e4

2020

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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

The American journal of surgical pathology, 2018-12, Vol.42 (12), p.1636-1646

2018

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Deep learning for healthcare applications based on physiological signals: A review

Computer methods and programs in biomedicine, 2018-07, Vol.161, p.1-13

2018

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Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

Ophthalmology (Rochester, Minn.), 2019-04, Vol.126 (4), p.552-564

2019

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CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance

Scientific reports, 2021-07, Vol.11 (1), p.14358-15, Article 14358

2021

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Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

International journal of medical informatics (Shannon, Ireland), 2020-12, Vol.144, p.104284-104284, Article 104284

2020

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Medical Image Analysis using Convolutional Neural Networks: A Review

Journal of medical systems, 2018-11, Vol.42 (11), p.226-13, Article 226

2018

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A deep learning framework for supporting the classification of breast lesions in ultrasound images

Physics in medicine & biology, 2017-09, Vol.62 (19), p.7714-7728

2017

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A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis

PloS one, 2019-09, Vol.14 (9), p.e0221339

2019

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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

PLoS medicine, 2018-11, Vol.15 (11), p.e1002686-e1002686

2018

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Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study

Annals of internal medicine, 2018-09, Vol.169 (6), p.357

2018

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Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification

Computer methods and programs in biomedicine, 2020-07, Vol.190, p.105351-105351, Article 105351

2020

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CAD and AI for breast cancer-recent development and challenges

British journal of radiology, 2020-04, Vol.93 (1108), p.20190580-20190580

2020

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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1285-1298

2016

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Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge

Radiomics: Images Are More than Pictures, They Are Data

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Machine learning in medicine: a practical introduction

Computer‐aided diagnosis in the era of deep learning

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

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy

A review of wearable sensors and systems with application in rehabilitation

Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives

Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

Deep learning for healthcare applications based on physiological signals: A review

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Medical Image Analysis using Convolutional Neural Networks: A Review

A deep learning framework for supporting the classification of breast lesions in ultrasound images

A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study

Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification

CAD and AI for breast cancer-recent development and challenges

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

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