Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema GradingScientific reports, 2019-07, Vol.9 (1), p.10750-11, Article 10750 [Peer Reviewed Journal]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. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-47181-w ;PMID: 31341220Full text available |
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2 |
Material Type: Article
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Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography VolumesScientific reports, 2020-04, Vol.10 (1), p.5842-5842, Article 5842 [Peer Reviewed Journal]The Author(s) 2020. 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) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-62321-3 ;PMID: 32245989Full text available |
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3 |
Material Type: Article
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Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT datasetScientific reports, 2023-08, Vol.13 (1), p.14159-14159, Article 14159 [Peer Reviewed Journal]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. ;Springer Nature Limited 2023 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-40516-8 ;PMID: 37644067Full text available |
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4 |
Material Type: Article
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Machine Learning Methods for Neonatal Mortality and Morbidity ClassificationIEEE access, 2020, Vol.8, p.123347-123358 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3006710 ;CODEN: IAECCGFull text available |
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5 |
Material Type: Article
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Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy ClassificationIEEE access, 2022, Vol.10, p.76669-76681 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2022.3192024 ;CODEN: IAECCGFull text available |
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6 |
Material Type: Article
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Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancerFrontiers in oncology, 2022-07, Vol.12, p.930432 [Peer Reviewed Journal]Copyright © 2022 Naser, Wahid, Grossberg, Olson, Jain, El-Habashy, Dede, Salama, Abobakr, Mohamed, He, Jaskari, Sahlsten, Kaski and Fuller. ;Copyright © 2022 Naser, Wahid, Grossberg, Olson, Jain, El-Habashy, Dede, Salama, Abobakr, Mohamed, He, Jaskari, Sahlsten, Kaski and Fuller 2022 Naser, Wahid, Grossberg, Olson, Jain, El-Habashy, Dede, Salama, Abobakr, Mohamed, He, Jaskari, Sahlsten, Kaski and Fuller ;ISSN: 2234-943X ;EISSN: 2234-943X ;DOI: 10.3389/fonc.2022.930432 ;PMID: 35965493Full text available |
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7 |
Material Type: Article
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Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-casesFrontiers in oncology, 2023, Vol.13, p.1120392-1120392 [Peer Reviewed Journal]Copyright © 2023 Sahlsten, Wahid, Glerean, Jaskari, Naser, He, Kann, Mäkitie, Fuller and Kaski. ;Copyright © 2023 Sahlsten, Wahid, Glerean, Jaskari, Naser, He, Kann, Mäkitie, Fuller and Kaski 2023 Sahlsten, Wahid, Glerean, Jaskari, Naser, He, Kann, Mäkitie, Fuller and Kaski ;ISSN: 2234-943X ;EISSN: 2234-943X ;DOI: 10.3389/fonc.2023.1120392 ;PMID: 36925936Full text available |
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8 |
Material Type: Article
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Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancerScientific data, 2022-08, Vol.9 (1), p.470-470, Article 470 [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: 2052-4463 ;EISSN: 2052-4463 ;DOI: 10.1038/s41597-022-01587-w ;PMID: 35918336Full text available |
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9 |
Material Type: Article
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Harnessing uncertainty in radiotherapy auto-segmentation quality assurancePhysics and imaging in radiation oncology, 2024-01, Vol.29, p.100526-100526, Article 100526 [Peer Reviewed Journal]2023 The Author(s) ;2023 The Author(s) 2023 ;ISSN: 2405-6316 ;EISSN: 2405-6316 ;DOI: 10.1016/j.phro.2023.100526 ;PMID: 38179210Full text available |
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10 |
Material Type: Article
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Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck CancerJAMA network open, 2023-08, Vol.6 (8), p.e2328280-e2328280 [Peer Reviewed Journal]2023. This work is published 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. ;Copyright 2023 Ye Z et al. . ;ISSN: 2574-3805 ;EISSN: 2574-3805 ;DOI: 10.1001/jamanetworkopen.2023.28280 ;PMID: 37561460Full text available |
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11 |
Material Type: Book
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Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography VolumesDigital Resources/Online E-Resources |
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12 |
Material Type: Article
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A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal RegressionarXiv.org, 2018-122018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1812.07352Full text available |
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13 |
Material Type: Article
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Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy ClassificationDigital Resources/Online E-Resources |
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14 |
Material Type: Article
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Uncertainty-aware deep learning methods for robust diabetic retinopathy classificationarXiv.org, 2022-022022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2201.09042Full text available |
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15 |
Material Type: Article
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Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT datasetarXiv.org, 2023-042023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.14385Full text available |
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16 |
Material Type: Article
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Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema GradingarXiv.org, 2019-042019. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1904.08764Full text available |
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17 |
Material Type: Article
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Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-casemedRxiv : the preprint server for health sciences, 2023-02DOI: 10.1101/2023.02.20.23286188Digital Resources/Online E-Resources |
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18 |
Material Type: Article
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Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipelinemedRxiv : the preprint server for health sciences, 2023-03DOI: 10.1101/2023.03.01.23286638Digital Resources/Online E-Resources |
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19 |
Material Type: Article
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Multi-Specialty Expert Physician Identification of Extranodal Extension in Computed Tomography Scans of Oropharyngeal Cancer Patients: Prospective Blinded Human Inter-Observer Performance EvaluationmedRxiv : the preprint server for health sciences, 2023-02DOI: 10.1101/2023.02.25.23286432Digital Resources/Online E-Resources |