Featured Publications
Cross-Attention for Improved Motion Correction in Brain PET
Cai Z, Zeng T, Lieffrig E, Zhang J, Chen F, Toyonaga T, You C, Xin J, Zheng N, Lu Y, Duncan J, Onofrey J. Cross-Attention for Improved Motion Correction in Brain PET. Lecture Notes In Computer Science 2023, 14312: 34-45. PMID: 38174216, PMCID: PMC10758996, DOI: 10.1007/978-3-031-44858-4_4.Peer-Reviewed Original ResearchDeep learning networkCross-attention mechanismDeep learning benchmarksMotion correctionTraining data domainPET list-mode dataPET image reconstructionQuality of reconstructionData domainCross attentionLearning networkSupervised mannerLearning benchmarksReference imageMotion trackingInherent informationList-mode dataImage reconstructionBrain PET dataPrediction resultsDifferent scannersHead motionImproved motion correctionNetworkSpatial correspondence
2024
CT-Less Whole-Body Bone Segmentation of PET Images Using a Multimodal Deep Learning Network
Bao N, Zhang J, Li Z, Wei S, Zhang J, Greenwald S, Onofrey J, Lu Y, Xu L. CT-Less Whole-Body Bone Segmentation of PET Images Using a Multimodal Deep Learning Network. IEEE Journal Of Biomedical And Health Informatics 2024, PP: 1-16. DOI: 10.1109/jbhi.2024.3501386.Peer-Reviewed Original ResearchPositron emission tomographyMultimodal fusion modulePositron emission tomography imagingMultimodal fusion networkAttenuation mapDice similarity coefficientFusion moduleFusion networkEncoder RepresentationsEncoder branchesCT imagesTraining dataComputed tomographyTumor analysisTracer activityModality imagesMultimodal deep learning networkPET imagingBone segmentsSqueeze-and-excitationBone cancerPositron emission tomography informationCT-based approachDeep learning networkImprove segmentation performance