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Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation

IEEE Access(2020)10.1109/access.2020.3017168Source: DataRank Database

Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation is a research paper published in IEEE Access (2020). On theSindex it has a DataRank of 0. It has been cited 80 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access80 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 6.69)OA: goldTopics (34)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Guang Yang ORCID,Melina Hosseiny ORCID,Afshin Azadikhah ORCID,Sohrab Afshari Mirak ORCID,Qi Miao ORCID

Live enrichment

PubMed:33564563 PMC:PMC7869831 OpenAlex:https://openalex.org/W3071727253

Foundation for the National Institutes of Health

Grant: R01-CA248506

NCI NIH HHS

Grant: R01 CA248506

National Institutes of Health

Grant: 5R01CA248506-05

Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

FWCI

6.69

Citation Percentile

1.0%

Citation Trend

2021

2022

2023

2024

2025

goldLicense: cc-by

journalhttps://ieeexplore.ieee.org/ielx7/6287639/8948470/09169868.pdf

publisherhttps://ieeexplore.ieee.org/ielx7/6287639/8948470/09169868.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/8948470/09169868.pdf?arnumber=9169868

journalhttps://doi.org/10.1109/access.2020.3017168

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33564563

Fields of Study

Prostate Cancer Diagnosis and TreatmentAdvanced Neural Network ApplicationsMedical Imaging and Analysis03 medical and health sciences0302 clinical medicine

Keywords

Artificial intelligenceSegmentationComputer sciencePattern recognition (psychology)Artificial neural networkDeep learningImage segmentationBayesian probabilityAutomatic SegmentationProstate ZonesBayesian Deep LearningAttentive ModulesUrologic DiseasesTechnologyDecodingTesting610EngineeringMagnetic resonance imagingInformation and Computing SciencesMachine learningCancerProstate CancerUncertainty600Bayes methodsTK1-9971Electrical engineering. Electronics. Nuclear engineeringNeural networks

Sustainable Development Goals

SDG 3: 3. Good health