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A Test Statistic Estimation-Based Approach for Establishing Self-Interpretable CNN-Based Binary Classifiers

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2023.3348699Source: DataRank Database

A Test Statistic Estimation-Based Approach for Establishing Self-Interpretable CNN-Based Binary Classifiers is a research paper published in IEEE Transactions on Medical Imaging (2024). On theSindex it has a DataRank of 0. It has been cited 15 times.

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Open Access15 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (14 grants)Impact (FWCI 4.00)OA: hybridTopics (43)IDs (PubMed, PMC, OpenAlex)SDGs (2)

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 (2)

Mark A. Anastasio ORCID,Sourya Sengupta ORCID

Live enrichment

PubMed:38163307 PMC:PMC11065575 OpenAlex:https://openalex.org/W4390480843

NIH

Grant: EB031772 (Subproject 6366)

NIH

Grant: EB031585

NIH

Grant: CA238191

National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health

Grant: T32EB019944

NIBIB NIH HHS

Grant: P41 EB031772

NIBIB NIH HHS

Grant: R01 EB034249

NIBIB NIH HHS

Grant: R01 EB031585

NCI NIH HHS

Grant: R01 CA238191

National Institutes of Health

Grant: 1R01EB023045-01A1

DEVELOPMENT OF A RAPID METHOD FOR IMAGING REGIONAL VENTILATION IN SMALL ANIMALS W/O CONTRAST AGENTS

National Institutes of Health

Grant: 3R01CA238191-02S1

Quantitative histopathology for cancer prognosis using quantitative phase imaging on stained tissues

National Institutes of Health

Grant: 7R01EB020604-04

An Enabling Technology for Preclinical X-Ray Imaging of Biomaterials In-Vivo

National Institutes of Health

Grant: 3T32EB019944-03S1

Tissue microenvironment (TiMe) training program

National Institutes of Health

Grant: 5R01CA233873-03

Multimodal Biomarkers For Oropharyngeal Cancer

National Institutes of Health

Grant: 3P41EB031772-03S1

Center for Label-free Imaging and Multiscale Biophotonics (CLIMB)

FWCI

4.00

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

hybridLicense: cc-by

journalhttps://ieeexplore.ieee.org/ielx7/42/4359023/10378976.pdf

publisherhttps://ieeexplore.ieee.org/ielx7/42/4359023/10378976.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/42/10517791/10378976.pdf?arnumber=10378976

journalhttps://doi.org/10.1109/tmi.2023.3348699

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38163307

Fields of Study

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine LearningMachine Learning and Data Classification0301 basic medicine02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Deep LearningAlgorithmsHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedNeural Networks, Computer

Keywords

InterpretabilityArtificial intelligenceComputer scienceBinary classificationPattern recognition (psychology)StatisticClassifier (UML)Binary numberArtificial neural networkAmbiguityDeep learningMachine learningCross-validationData miningMathematicsSupport vector machineStatisticsFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionElectrical Engineering and Systems Science - Image and Video ProcessingArticleImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedFOS: Electrical engineering, electronic engineering, information engineeringHumansNeural Networks, ComputerAlgorithms

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Reduced inequalities