2022
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Saboury B, Bradshaw T, Boellaard R, Buvat I, Dutta J, Hatt M, Jha A, Li Q, Liu C, McMeekin H, Morris M, Scott P, Siegel E, Sunderland J, Pandit-Taskar N, Wahl R, Zuehlsdorff S, Rahmim A. Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem. Journal Of Nuclear Medicine 2022, 64: jnumed.121.263703. PMID: 36522184, PMCID: PMC9902852, DOI: 10.2967/jnumed.121.263703.Peer-Reviewed Original Research
2021
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
Bradshaw TJ, Boellaard R, Dutta J, Jha AK, Jacobs P, Li Q, Liu C, Sitek A, Saboury B, Scott PJH, Slomka PJ, Sunderland JJ, Wahl RL, Yousefirizi F, Zuehlsdorff S, Rahmim A, Buvat I. Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. Journal Of Nuclear Medicine 2021, 63: 500-510. PMID: 34740952, PMCID: PMC10949110, DOI: 10.2967/jnumed.121.262567.Peer-Reviewed Original ResearchArtificial Intelligence-Based Image Enhancement in PET Imaging Noise Reduction and Resolution Enhancement
Liu J, Malekzadeh M, Mirian N, Song TA, Liu C, Dutta J. Artificial Intelligence-Based Image Enhancement in PET Imaging Noise Reduction and Resolution Enhancement. PET Clinics 2021, 16: 553-576. PMID: 34537130, PMCID: PMC8457531, DOI: 10.1016/j.cpet.2021.06.005.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceHumansImage EnhancementImage Processing, Computer-AssistedPositron-Emission TomographySignal-To-Noise RatioConceptsArtificial intelligence modelsImage enhancementIntelligence modelsArtificial intelligenceNetwork architectureEvaluation metricsLarge-scale adoptionData typesImage denoisingLoss functionPET imagesLow spatial resolutionHigh noiseResolution enhancementImagesIntelligenceDeblurringArchitectureDenoisingNoise reductionMetricsPopularityRecent effortsFuture directionsAccuracy