Fleming Lure

SA Technologies (United States) — United States

Medicine · Health Sciences

15h-index744citations82works3.92yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(21), COVID-19 diagnosis using AI(17), AI in cancer detection(16), Dementia and Cognitive Impairment Research(11), Lung Cancer Diagnosis and Treatment(11)

Publications82 total

Automated multi-lesion annotation in chest x-rays: annotating over 450,000 images from public datasets using the AI-based smart imagery framing and truthing (SIFT) system
2025
Development of an AI-based smart imagery framing and truthing (SIFT) system to annotate pulmonary abnormalities with corresponding boundaries based on CT images
2025
A Cross-Modal Mutual Knowledge Distillation Framework for Alzheimer’s Disease Diagnosis: Addressing Incomplete Modalities
IEEE Transactions on Automation Science and Engineering·2025· 8 citedOpen Access
Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection
IEEE Transactions on Automation Science and Engineering·2025· 3 citedOpen Access
Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study
Journal of X-Ray Science and Technology·2024Open Access
Supervised Multi-Modal Fission Learning
arXiv (Cornell University)·2024· 1 citedOpen Access
Leveraging Pretrained Transformers for Efficient Segmentation and Lesion Detection in Cone-Beam Computed Tomography Scans
Journal of Endodontics·2024· 13 citedOpen Access
E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing
Sensors·2024· 5 citedOpen Access
A Novel Hybrid Ordinal Learning Model With Health Care Application
IEEE Transactions on Automation Science and Engineering·2024· 5 citedOpen Access
A Novel Hybrid Ordinal Learning Model with Health Care Application
arXiv (Cornell University)·2023Open Access
A high‐dimensional incomplete‐modality transfer learning method for early prediction of Alzheimer’s disease
Alzheimer s & Dementia·2023Open Access
Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT Segmentation
Journal of Endodontics·2023· 27 citedOpen Access
Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer’s Disease with 3D Amyloid-PET
Bioengineering·2023· 12 citedOpen Access
A Cross-Modal Mutual Knowledge Distillation Framework for Alzheimer’s Disease Diagnosis: Addressing Incomplete Modalities
2023· 1 citedOpen Access
Early prediction of progression to Alzheimer’s disease using multi-modality neuroimages by a novel ordinal learning model ADPacer
IISE Transactions on Healthcare Systems Engineering·2023Open Access
Corrections to “STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning” [May 23 10998-11006]
IEEE Sensors Journal·2023· 2 citedOpen Access
Uncertainty-driven modality selection for data-efficient prediction of Alzheimer’s disease
IISE Transactions on Healthcare Systems Engineering·2023· 2 cited
Self-Supervised Contrastive Learning to Predict Alzheimer’s Disease Progression with 3D Amyloid-PET
2023· 6 citedOpen Access
STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning
IEEE Sensors Journal·2023· 20 citedOpen Access
An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network
IEEE Journal of Biomedical and Health Informatics·2023· 28 citedOpen Access
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Frequent Co-authors

Teresa Wu(11), Kewei Chen(7), Matthew T. Freedman(7), Jing Li(6), Lin Guo(6), Teresa Osicka(6), Stefan Jaeger(5), Xinwei Xu(5), Jesse Lin(5), Zhang Ron(5), Yi Su(5), David Weidman(4), Roger S. Gaborski(4), Min Gu Kwak(4), Wei Qian(3), Bin Zheng(3), Mel Mupparapu(3), Hao Yan(3), Frank Setzer(3), Fulin Cai(3)