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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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Machine learning in breast MRI

Journal of magnetic resonance imaging, 2020-10, Vol.52 (4), p.998-1018

2020

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New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence

American journal of roentgenology (1976), 2019-02, Vol.212 (2), p.300-307

2019

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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

IEEE transactions on medical imaging, 2020-04, Vol.39 (4), p.1184-1194

2020

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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Medical image analysis, 2021-02, Vol.68, p.101908-101908, Article 101908

2021

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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Nature communications, 2021-09, Vol.12 (1), p.5645-5645, Article 5645

2021

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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

NPJ digital medicine, 2021-05, Vol.4 (1), p.80-80, Article 80

2021

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Differences between human and machine perception in medical diagnosis

Scientific reports, 2022-04, Vol.12 (1), p.6877-6877, Article 6877

2022

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Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative

Radiology, 2020-09, Vol.296 (3), p.584-593

2020

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Improving breast cancer diagnostics with deep learning for MRI

Science translational medicine, 2022-09, Vol.14 (664), p.eabo4802

2022

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A convolutional neural network for common coordinate registration of high-resolution histology images

Bioinformatics (Oxford, England), 2021-11, Vol.37 (22), p.4216-4226

2021

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Artificial Intelligence Explained for Nonexperts

Seminars in musculoskeletal radiology, 2020-02, Vol.24 (1), p.3-11

2020

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fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning

Radiology. Artificial intelligence, 2020-01, Vol.2 (1), p.e190007-e190007

2020

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An efficient deep neural network to classify large 3D images with small objects

IEEE transactions on medical imaging, 2024-01, Vol.43 (1), p.1-1

2024

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Globally-Aware Multiple Instance Classifier for Breast Cancer Screening

Machine Learning in Medical Imaging, 2019-10, p.18-26

2019

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Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.3355-3365

2023

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Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms

Journal of digital imaging, 2021-12, Vol.34 (6), p.1414-1423

2021

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Lessons from the first DBTex Challenge

Nature machine intelligence, 2021-08, Vol.3 (8), p.735-736

2021

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Classifier-agnostic saliency map extraction

Computer vision and image understanding, 2020-07, Vol.196, p.102969, Article 102969

2020

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Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

JAMA network open, 2020-03, Vol.3 (3), p.e200265-e200265

2020

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Breast Density Classification with Deep Convolutional Neural Networks

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.6682-6686

2018

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Composite Denoising Autoencoders

Machine Learning and Knowledge Discovery in Databases, 2016, Vol.9851, p.681-696

2016

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Classifier-Agnostic Saliency Map Extraction

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2019, Vol.33 (1), p.10087-10088

2019

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

Machine learning in breast MRI

New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Differences between human and machine perception in medical diagnosis

Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative

Improving breast cancer diagnostics with deep learning for MRI

A convolutional neural network for common coordinate registration of high-resolution histology images

Artificial Intelligence Explained for Nonexperts

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning

An efficient deep neural network to classify large 3D images with small objects

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis

Lessons from the first DBTex Challenge

Classifier-agnostic saliency map extraction

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

Breast Density Classification with Deep Convolutional Neural Networks

Composite Denoising Autoencoders

Classifier-Agnostic Saliency Map Extraction

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