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1
105 Machine learning and carotid artery CT radiomics identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack
105 Machine learning and carotid artery CT radiomics identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack
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105 Machine learning and carotid artery CT radiomics identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack

Heart (British Cardiac Society), 2020-07, Vol.106 (Suppl 2), p.A82-A84 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2020-BCS.105

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2
1467-P: Retinal Vascular Biomarkers in Diabetic Peripheral Neuropathy
1467-P: Retinal Vascular Biomarkers in Diabetic Peripheral Neuropathy
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1467-P: Retinal Vascular Biomarkers in Diabetic Peripheral Neuropathy

Diabetes (New York, N.Y.), 2020-06, Vol.69 (Supplement_1) [Peer Reviewed Journal]

Copyright American Diabetes Association Jun 1, 2020 ;ISSN: 0012-1797 ;EISSN: 1939-327X ;DOI: 10.2337/db20-1467-P

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3
16S rRNA sequencing analysis of the oral and fecal microbiota in colorectal cancer positives versus colorectal cancer negatives in Iranian population
16S rRNA sequencing analysis of the oral and fecal microbiota in colorectal cancer positives versus colorectal cancer negatives in Iranian population
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16S rRNA sequencing analysis of the oral and fecal microbiota in colorectal cancer positives versus colorectal cancer negatives in Iranian population

Gut pathogens, 2024-02, Vol.16 (1), p.9-9 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed 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) 2024 ;ISSN: 1757-4749 ;EISSN: 1757-4749 ;DOI: 10.1186/s13099-024-00604-0 ;PMID: 38378690

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4
171-LB: Estimating the Immunological Risk for Type 1 Diabetes from a CGM-Based One Week Self-Administered Home Test
171-LB: Estimating the Immunological Risk for Type 1 Diabetes from a CGM-Based One Week Self-Administered Home Test
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171-LB: Estimating the Immunological Risk for Type 1 Diabetes from a CGM-Based One Week Self-Administered Home Test

Diabetes (New York, N.Y.), 2022-06, Vol.71 (Supplement_1) [Peer Reviewed Journal]

Copyright American Diabetes Association Jun 2022 ;ISSN: 0012-1797 ;EISSN: 1939-327X ;DOI: 10.2337/db22-171-LB

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5
1D-CNN-based audio tampering detection using ENF signals
1D-CNN-based audio tampering detection using ENF signals
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1D-CNN-based audio tampering detection using ENF signals

Scientific reports, 2024-05, Vol.14 (1), p.11186-11186 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. 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) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-60813-0 ;PMID: 38755174

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6
1D Segmentation Network for 3D Seam Weld Grinding
1D Segmentation Network for 3D Seam Weld Grinding
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1D Segmentation Network for 3D Seam Weld Grinding

Journal of physics. Conference series, 2021-05, Vol.1924 (1), p.12002 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1924/1/012002

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7
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor
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2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor

BMC bioinformatics, 2020-10, Vol.21 (Suppl 5), p.1-245, Article 245 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed 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) 2020 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-020-03588-1 ;PMID: 33106158

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8
2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System
2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System
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2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3298 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23063298 ;PMID: 36992009

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9
2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements
2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements
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2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements

Materials, 2020-08, Vol.13 (16), p.3527 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1996-1944 ;EISSN: 1996-1944 ;DOI: 10.3390/ma13163527 ;PMID: 32785087

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10
2dCNN-BiCuDNNLSTM: Hybrid Deep-Learning-Based Approach for Classification of COVID-19 X-ray Images
2dCNN-BiCuDNNLSTM: Hybrid Deep-Learning-Based Approach for Classification of COVID-19 X-ray Images
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2dCNN-BiCuDNNLSTM: Hybrid Deep-Learning-Based Approach for Classification of COVID-19 X-ray Images

Sustainability, 2022-06, Vol.14 (11), p.6785 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su14116785

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11
3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net
3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net
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3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net

Scientific reports, 2023-12, Vol.13 (1), p.22625-22625, Article 22625 [Peer Reviewed Journal]

2023. The Author(s). ;The Author(s) 2023. 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) 2023 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-49794-8 ;PMID: 38114666

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12
326-OR: A Novel Machine Learning Analysis of Brain Multimodal Magnetic Resonance Imaging Classifies Painful Diabetic Neuropathic Pain Severity with High Accuracy
326-OR: A Novel Machine Learning Analysis of Brain Multimodal Magnetic Resonance Imaging Classifies Painful Diabetic Neuropathic Pain Severity with High Accuracy
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326-OR: A Novel Machine Learning Analysis of Brain Multimodal Magnetic Resonance Imaging Classifies Painful Diabetic Neuropathic Pain Severity with High Accuracy

Diabetes (New York, N.Y.), 2019-06, Vol.68 (Supplement_1) [Peer Reviewed Journal]

Copyright American Diabetes Association Jun 1, 2019 ;ISSN: 0012-1797 ;EISSN: 1939-327X ;DOI: 10.2337/db19-326-OR

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13
3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion
3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion
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3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion

BMC medical imaging, 2022-07, Vol.22 (1), p.1-13, Article 130 [Peer Reviewed Journal]

COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed 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: 1471-2342 ;EISSN: 1471-2342 ;DOI: 10.1186/s12880-022-00852-z ;PMID: 35870877

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14
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework
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3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework

BMC medical imaging, 2022-01, Vol.22 (1), p.6-6, Article 6 [Peer Reviewed Journal]

2021. The Author(s). ;COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed 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) 2021 ;ISSN: 1471-2342 ;EISSN: 1471-2342 ;DOI: 10.1186/s12880-021-00728-8 ;PMID: 34986785

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15
3D brain tumor segmentation using a two-stage optimal mass transport algorithm
3D brain tumor segmentation using a two-stage optimal mass transport algorithm
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3D brain tumor segmentation using a two-stage optimal mass transport algorithm

Scientific reports, 2021-08, Vol.11 (1), p.14686-14686, Article 14686 [Peer Reviewed Journal]

2021. The Author(s). ;The Author(s) 2021. 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) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-94071-1 ;PMID: 34376714

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16
3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms
3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms
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3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms

Entropy (Basel, Switzerland), 2019-05, Vol.21 (5), p.479 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e21050479 ;PMID: 33267193

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17
3D Convolution neural network with multiscale spatial and temporal cues for motor imagery EEG classification
3D Convolution neural network with multiscale spatial and temporal cues for motor imagery EEG classification
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3D Convolution neural network with multiscale spatial and temporal cues for motor imagery EEG classification

Cognitive neurodynamics, 2023-10, Vol.17 (5), p.1357-1380 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1871-4080 ;EISSN: 1871-4099 ;DOI: 10.1007/s11571-022-09906-y

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18
3D convolutional GAN for fast simulation
3D convolutional GAN for fast simulation
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3D convolutional GAN for fast simulation

EPJ Web of Conferences, 2019, Vol.214, p.2010 [Peer Reviewed Journal]

2019. This work is licensed under https://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: 2100-014X ;ISSN: 2101-6275 ;EISSN: 2100-014X ;DOI: 10.1051/epjconf/201921402010

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19
3D deep convolution neural network for radiation pneumonitis prediction following stereotactic body radiotherapy
3D deep convolution neural network for radiation pneumonitis prediction following stereotactic body radiotherapy
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3D deep convolution neural network for radiation pneumonitis prediction following stereotactic body radiotherapy

Journal of applied clinical medical physics, 2023-03, Vol.24 (3), p.e13875-n/a [Peer Reviewed Journal]

2022 The Authors. published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. ;2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. ;2023. 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: 1526-9914 ;EISSN: 1526-9914 ;DOI: 10.1002/acm2.13875 ;PMID: 36546583

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20
3D deep convolutional neural networks for amino acid environment similarity analysis
3D deep convolutional neural networks for amino acid environment similarity analysis
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3D deep convolutional neural networks for amino acid environment similarity analysis

BMC bioinformatics, 2017-06, Vol.18 (1), p.302-302, Article 302 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s). 2017 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-017-1702-0 ;PMID: 28615003

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