Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

A Universal Law of Robustness via Isoperimetry

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An algorithmic approach to reducing unexplained pain disparities in underserved populations

(2021) Emma Pierson et al.   NATURE MEDICINE

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence

(2021) Kicky G. van Leeuwen et al.   EUROPEAN RADIOLOGY

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

(2021) S. Kevin Zhou et al.   PROCEEDINGS OF THE IEEE

Toward Causal Representation Learning

(2021) Bernhard Scholkopf et al.   PROCEEDINGS OF THE IEEE

Achieving fairness in medical devices

(2021) Achuta Kadambi   SCIENCE

Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT

(2021) Sabri Eyuboglu et al.   Nature Communications

Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices

(2021) Ayush Jain et al.   JAMA Network Open

Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy

(2021) Karoline Freeman et al.   BMJ-British Medical Journal

Self-supervised driven consistency training for annotation efficient histopathology image analysis

(2021) Chetan L. Srinidhi et al.   MEDICAL IMAGE ANALYSIS

International evaluation of an AI system for breast cancer screening

(2020) Scott Mayer McKinney et al.   NATURE

Preparing Medical Imaging Data for Machine Learning

(2020) Martin J. Willemink et al.   RADIOLOGY

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

(2020) Avinash V. Varadarajan et al.   Nature Communications

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

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A deep learning system for differential diagnosis of skin diseases

(2020) Yuan Liu et al.   NATURE MEDICINE

Current and future applications of artificial intelligence in pathology: a clinical perspective

(2020) Emad A Rakha et al.   JOURNAL OF CLINICAL PATHOLOGY

Rubik’s Cube+: A self-supervised feature learning framework for 3D medical image analysis

(2020) Jiuwen Zhu et al.   MEDICAL IMAGE ANALYSIS

Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study

(2020) Laith Alzubaidi et al.   Applied Sciences-Basel

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

(2019) Adam Yala et al.   RADIOLOGY

A transfer learning method with deep residual network for pediatric pneumonia diagnosis

(2019) Gaobo Liang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

(2019) Kaustav Bera et al.   Nature Reviews Clinical Oncology

Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition

(2019) Julia K. Winkler et al.   JAMA Dermatology

Key challenges for delivering clinical impact with artificial intelligence

(2019) Christopher J. Kelly et al.   BMC Medicine

Self-supervised learning for medical image analysis using image context restoration

(2019) Liang Chen et al.   MEDICAL IMAGE ANALYSIS

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

(2019) Alistair E. W. Johnson et al.   Scientific Data

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

(2019) Nan Wu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep visual domain adaptation: A survey

(2018) Mei Wang et al.   NEUROCOMPUTING

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

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

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Timed Efficiency of Interpretation of Digital and Film-Screen Screening Mammograms

(2008) Tamara Miner Haygood et al.   AMERICAN JOURNAL OF ROENTGENOLOGY