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1
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading
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Article
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Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading

Scientific 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: 31341220

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2
Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes
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Article
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Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes

Scientific 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: 32245989

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3
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
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Article
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Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset

Scientific 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: 37644067

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4
Machine Learning Methods for Neonatal Mortality and Morbidity Classification
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Article
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Machine Learning Methods for Neonatal Mortality and Morbidity Classification

IEEE 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: IAECCG

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5
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification
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Article
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Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification

IEEE 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: IAECCG

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6
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer
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Article
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Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer

Frontiers 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: 35965493

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7
Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases
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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-cases

Frontiers 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: 36925936

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8
Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer
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Article
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Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer

Scientific 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: 35918336

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9
Harnessing uncertainty in radiotherapy auto-segmentation quality assurance
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Article
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Harnessing uncertainty in radiotherapy auto-segmentation quality assurance

Physics 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: 38179210

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10
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer
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Article
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Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer

JAMA 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: 37561460

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11
Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes
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Book
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Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes

Digital Resources/Online E-Resources

12
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression
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Article
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A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression

arXiv.org, 2018-12

2018. 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.1812.07352

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13
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification
Material Type:
Article
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Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification

Digital Resources/Online E-Resources

14
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification
Material Type:
Article
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Uncertainty-aware deep learning methods for robust diabetic retinopathy classification

arXiv.org, 2022-02

2022. 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.2201.09042

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15
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
Material Type:
Article
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Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset

arXiv.org, 2023-04

2023. 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.2305.14385

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16
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading
Material Type:
Article
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Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading

arXiv.org, 2019-04

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1904.08764

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17
Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case
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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-case

medRxiv : the preprint server for health sciences, 2023-02

DOI: 10.1101/2023.02.20.23286188

Digital Resources/Online E-Resources

18
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline
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Article
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Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline

medRxiv : the preprint server for health sciences, 2023-03

DOI: 10.1101/2023.03.01.23286638

Digital Resources/Online E-Resources

19
Multi-Specialty Expert Physician Identification of Extranodal Extension in Computed Tomography Scans of Oropharyngeal Cancer Patients: Prospective Blinded Human Inter-Observer Performance Evaluation
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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 Evaluation

medRxiv : the preprint server for health sciences, 2023-02

DOI: 10.1101/2023.02.25.23286432

Digital Resources/Online E-Resources

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