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How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature

JAMA : the journal of the American Medical Association, 2019-11, Vol.322 (18), p.1806

2019

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Editorial for “Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast Enhanced MRI”

Journal of magnetic resonance imaging, 2022-05, Vol.55 (5), p.1535-1535

Geitung, Jonn‐Terje

2022

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Implementing Machine Learning in Health Care — Addressing Ethical Challenges

The New England journal of medicine, 2018-03, Vol.378 (11), p.981-983

2018

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Machine Learning in Medicine

The New England journal of medicine, 2019-04, Vol.380 (14), p.1347-1358

2019

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Learning task-state representations

Nature neuroscience, 2019-10, Vol.22 (10), p.1544

Niv, Yael

2019

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Deep Learning in Neuroradiology

American journal of neuroradiology : AJNR, 2018-10, Vol.39 (10), p.1776-1784

2018

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Learning at home during COVID‐19: A multi‐institutional virtual learning collaboration

Medical education, 2020-07, Vol.54 (7), p.664-665

2020

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The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology

PloS one, 2018-05, Vol.13 (5), p.e0197916-e0197916

2018

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ilastik: interactive machine learning for (bio)image analysis

Nature methods, 2019-12, Vol.16 (12), p.1226

2019

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Deep Learning in Radiology

Academic radiology, 2018-11, Vol.25 (11), p.1472-1480

2018

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Learning from Errors

Annual review of psychology, 2017-01, Vol.68, p.465

Metcalfe, Janet

2017

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A method to characterize the learning curve for performance of a fundamental laparoscopic simulator task: Defining “learning plateau” and “learning rate”

Surgery, 2009-08, Vol.146 (2), p.381-386

2009

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Perceptual learning

Current biology, 2017-07, Vol.27 (13), p.R631-R636

Seitz, Aaron R.

2017

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Task-Driven Dictionary Learning

IEEE transactions on pattern analysis and machine intelligence, 2012-04, Vol.34 (4), p.791-804

2012

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Virtual Learning During the COVID-19 Pandemic: A Disruptive Technology in Graduate Medical Education

Journal of the American College of Cardiology, 2020-05, Vol.75 (20), p.2635-2638

2020

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Principles of sensorimotor learning

Nature reviews. Neuroscience, 2011-12, Vol.12 (12), p.739-751

2011

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Active Learning: Effects of Core Training Design Elements on Self-Regulatory Processes, Learning, and Adaptability

Journal of applied psychology, 2008-03, Vol.93 (2), p.296-316

2008

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Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review

Journal of the American College of Cardiology, 2021-01, Vol.77 (3), p.300-313

2021

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Machine Learning for Medical Imaging

Radiographics, 2017-03, Vol.37 (2), p.505

2017

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Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning

The Academy of Management review, 2022-07, Vol.47 (3), p.448-465

2022

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Deep Learning for Health Informatics

IEEE journal of biomedical and health informatics, 2017-01, Vol.21 (1), p.4-21

2017

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Learning at a distance I. Statistical learning of non-adjacent dependencies

Cognitive psychology, 2004-03, Vol.48 (2), p.127-162

2004

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The relationship between Chinese university students' learning preparation and learning achievement within the EFL blended teaching context in COVID-19 post-epidemic era: The mediating effect of learning methods

PloS one, 2023-01, Vol.18 (1), p.e0280919-e0280919

2023

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Students' perception of online learning during the COVID-19 pandemic: A survey study of Polish medical students

Medicine (Baltimore), 2021-02, Vol.100 (7), p.e24821-e24821

2021

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Deep learning in bioinformatics

Briefings in bioinformatics, 2017-09, Vol.18 (5), p.851-869

2017

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How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature

Editorial for “Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast Enhanced MRI”

Implementing Machine Learning in Health Care — Addressing Ethical Challenges

Machine Learning in Medicine

Learning task-state representations

Deep Learning in Neuroradiology

Learning at home during COVID‐19: A multi‐institutional virtual learning collaboration

The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology

ilastik: interactive machine learning for (bio)image analysis

Deep Learning in Radiology

Learning from Errors

A method to characterize the learning curve for performance of a fundamental laparoscopic simulator task: Defining “learning plateau” and “learning rate”

Perceptual learning

Task-Driven Dictionary Learning

Virtual Learning During the COVID-19 Pandemic: A Disruptive Technology in Graduate Medical Education

Principles of sensorimotor learning

Active Learning: Effects of Core Training Design Elements on Self-Regulatory Processes, Learning, and Adaptability

Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review

Machine Learning for Medical Imaging

Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning

Deep Learning for Health Informatics

Learning at a distance I. Statistical learning of non-adjacent dependencies

The relationship between Chinese university students' learning preparation and learning achievement within the EFL blended teaching context in COVID-19 post-epidemic era: The mediating effect of learning methods

Students' perception of online learning during the COVID-19 pandemic: A survey study of Polish medical students

Deep learning in bioinformatics

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