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1
Diffractive deep neural network adjoint assist or (DNA) 2 : a fast and efficient nonlinear diffractive neural network implementation
Diffractive deep neural network adjoint assist or (DNA) 2 : a fast and efficient nonlinear diffractive neural network implementation
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Diffractive deep neural network adjoint assist or (DNA) 2 : a fast and efficient nonlinear diffractive neural network implementation

Optics express, 2022-02, Vol.30 (5), p.7441-7456 [Peer Reviewed Journal]

ISSN: 1094-4087 ;EISSN: 1094-4087 ;DOI: 10.1364/OE.449415 ;PMID: 35299506

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2
Focus on artificial neural networks
Focus on artificial neural networks
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Focus on artificial neural networks

ISBN: 9781613242858 ;ISBN: 1613242859 ;EISBN: 1619421003 ;EISBN: 9781619421004

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3
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts
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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts

Journal of the American Medical Informatics Association : JAMIA, 2017-07, Vol.24 (4), p.813-821 [Peer Reviewed Journal]

The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 ;The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1067-5027 ;ISSN: 1527-974X ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocw180 ;PMID: 28339747

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4
A guide to machine learning for biologists
A guide to machine learning for biologists
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A guide to machine learning for biologists

Nature reviews. Molecular cell biology, 2022-01, Vol.23 (1), p.40-55 [Peer Reviewed Journal]

2021. Springer Nature Limited. ;Springer Nature Limited 2021. ;ISSN: 1471-0072 ;EISSN: 1471-0080 ;DOI: 10.1038/s41580-021-00407-0 ;PMID: 34518686

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5
Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs
Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs
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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs

European radiology, 2019-10, Vol.29 (10), p.5469-5477 [Peer Reviewed Journal]

The Author(s) 2019 ;European Radiology is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06167-y ;PMID: 30937588

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6
Quantum variational algorithms are swamped with traps
Quantum variational algorithms are swamped with traps
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Quantum variational algorithms are swamped with traps

Nature communications, 2022-12, Vol.13 (1), p.7760-7760 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-35364-5 ;PMID: 36522354

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7
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
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Overcoming catastrophic forgetting in neural networks

Proceedings of the National Academy of Sciences - PNAS, 2017-03, Vol.114 (13), p.3521-3526 [Peer Reviewed Journal]

Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Mar 28, 2017 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1611835114 ;PMID: 28292907

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8
Backpropagation and the brain
Backpropagation and the brain
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Backpropagation and the brain

Nature reviews. Neuroscience, 2020-06, Vol.21 (6), p.335-346 [Peer Reviewed Journal]

COPYRIGHT 2020 Nature Publishing Group ;Springer Nature Limited 2020. ;ISSN: 1471-003X ;EISSN: 1471-0048 ;DOI: 10.1038/s41583-020-0277-3 ;PMID: 32303713

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9
Artificial neural networks in biological and environmental analysis
Artificial neural networks in biological and environmental analysis
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Artificial neural networks in biological and environmental analysis

2011 by Taylor & Francis Group, LLC ;ISBN: 9781439812594 ;ISBN: 9781439812587 ;ISBN: 1439812594 ;ISBN: 1439812586 ;EISBN: 9781439812594 ;EISBN: 9780429148927 ;EISBN: 0429148925 ;EISBN: 1439812594 ;DOI: 10.1201/b10515 ;OCLC: 1287179940 ;OCLC: 746925664 ;LCCallNum: QH324.25 .H36 2011

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10
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
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nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature methods, 2021-02, Vol.18 (2), p.203-211 [Peer Reviewed Journal]

COPYRIGHT 2021 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2020. ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-020-01008-z ;PMID: 33288961

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11
Event-Based Vision: A Survey
Event-Based Vision: A Survey
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Event-Based Vision: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-01, Vol.44 (1), p.154-180 [Peer Reviewed Journal]

ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2020.3008413 ;PMID: 32750812 ;CODEN: ITPIDJ

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12
Human-level control through deep reinforcement learning
Human-level control through deep reinforcement learning
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Human-level control through deep reinforcement learning

Nature (London), 2015-02, Vol.518 (7540), p.529-533 [Peer Reviewed Journal]

COPYRIGHT 2015 Nature Publishing Group ;COPYRIGHT 2015 Nature Publishing Group ;Copyright Nature Publishing Group Feb 26, 2015 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/nature14236 ;PMID: 25719670 ;CODEN: NATUAS

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13
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
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E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Nature communications, 2022-05, Vol.13 (1), p.2453-2453, Article 2453 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-29939-5 ;PMID: 35508450

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14
Introduction to Machine Learning, Neural Networks, and Deep Learning
Introduction to Machine Learning, Neural Networks, and Deep Learning
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Introduction to Machine Learning, Neural Networks, and Deep Learning

Translational vision science & technology, 2020-02, Vol.9 (2), p.14-14 [Peer Reviewed Journal]

Copyright 2020 The Authors. ;Copyright 2020 The Authors 2020 ;ISSN: 2164-2591 ;EISSN: 2164-2591 ;DOI: 10.1167/tvst.9.2.14 ;PMID: 32704420

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15
In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks
In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks
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In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks

Nature materials, 2022-02, Vol.21 (2), p.195-202 [Peer Reviewed Journal]

2021. The Author(s), under exclusive licence to Springer Nature Limited. ;The Author(s), under exclusive licence to Springer Nature Limited 2021. ;ISSN: 1476-1122 ;EISSN: 1476-4660 ;DOI: 10.1038/s41563-021-01099-9 ;PMID: 34608285

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16
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
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Training and operation of an integrated neuromorphic network based on metal-oxide memristors

Nature (London), 2015-05, Vol.521 (7550), p.61-64 [Peer Reviewed Journal]

COPYRIGHT 2015 Nature Publishing Group ;COPYRIGHT 2015 Nature Publishing Group ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/nature14441 ;PMID: 25951284

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17
Cellpose: a generalist algorithm for cellular segmentation
Cellpose: a generalist algorithm for cellular segmentation
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Cellpose: a generalist algorithm for cellular segmentation

Nature methods, 2021-01, Vol.18 (1), p.100-106 [Peer Reviewed Journal]

COPYRIGHT 2021 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2020. ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-020-01018-x ;PMID: 33318659

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18
Highly accurate protein structure prediction with AlphaFold
Highly accurate protein structure prediction with AlphaFold
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Highly accurate protein structure prediction with AlphaFold

Nature (London), 2021-08, Vol.596 (7873), p.583-589 [Peer Reviewed Journal]

2021. The Author(s). ;COPYRIGHT 2021 Nature Publishing Group ;Copyright Nature Publishing Group Aug 26, 2021 ;The Author(s) 2021 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-021-03819-2 ;PMID: 34265844

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19
Neural network models and deep learning
Neural network models and deep learning
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Neural network models and deep learning

Current biology, 2019-04, Vol.29 (7), p.R231-R236 [Peer Reviewed Journal]

2019 ;Copyright © 2019. Published by Elsevier Ltd. ;ISSN: 0960-9822 ;EISSN: 1879-0445 ;DOI: 10.1016/j.cub.2019.02.034 ;PMID: 30939301

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20
Space-efficient optical computing with an integrated chip diffractive neural network
Space-efficient optical computing with an integrated chip diffractive neural network
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Space-efficient optical computing with an integrated chip diffractive neural network

Nature communications, 2022-02, Vol.13 (1), p.1044-1044, Article 1044 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-28702-0 ;PMID: 35210432

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