Fleming Lure

752 citations

44 papers · 459 indexed · h-index 13

Impact in

Health Informatics top 5%
Radiology, Nuclear Medicine and Imaging top 10%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI

Papers in

Radiology, Nuclear Medicine and Imaging 23
- Radiomics and Machine Learning in Medical Imaging 14
- COVID-19 diagnosis using AI 10
Health Informatics 1

Co-authors: Teresa Wu Kewei ChenJing LiStefan Jaeger David Weidman Xiaonan Liu Lin Guo Yibo Lu
Journals: Journal of X-Ray Science and Technology (5 papers)IEEE Transactions on Automation Science and Engineering (3 papers)Medical Physics (2 papers)Journal of Endodontics (2 papers)Alzheimer s & Dementia (1 paper)
Partner nations: United States China Hong Kong

In The Last Decade

Fleming Lure

41 papers receiving 445 citations

Peers

Countries citing papers authored by Fleming Lure

Since Specialization

Citations

This map shows the geographic impact of Fleming Lure's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fleming Lure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fleming Lure more than expected).

Fields of papers citing papers by Fleming Lure

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fleming Lure. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fleming Lure. The network helps show where Fleming Lure may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Fleming Lure, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fleming Lure Line = papers co-authored together Fleming Lure links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A Cross-Modal Mutual Knowledge Distillation Framework for Alzheimer’s Disease Diagnosis: Addressing Incomplete Modalities IEEE Transactions on Automation Science and Engineering ·Daniel Déchelotte, Ramón Vargas Mera, Meripeni Ezung, Yi Su, Fleming Lure, Jing Li	2025	2
2	A Novel Hybrid Ordinal Learning Model With Health Care Application IEEE Transactions on Automation Science and Engineering ·Lujia Wang, G. Madhukar, Yi Su, Fleming Lure, Jing Li	2024	4
3	Leveraging Pretrained Transformers for Efficient Segmentation and Lesion Detection in Cone-Beam Computed Tomography Scans Journal of Endodontics ·Blanca Matilde Masapanta Cuchipe, Yeon‐Ju Lee, Hao Yan, Mel Mupparapu, Fleming Lure, Jing Li, Frank Setzer	2024	2
4	E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing Sensors ·Hélène Löning, Teresa Wu, Fleming Lure	2024	2
5	Uncertainty-driven modality selection for data-efficient prediction of Alzheimer’s disease Meripeni Ezung, Yi‐Chang Su, Kewei Chen, D. L. Weidman, Teresa Wu, Yuvi Panda, Fleming Lure, Édgar Alexander Ossa Henao, (unknown)	2023	1
6	Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer’s Disease with 3D Amyloid-PET Bioengineering ·Daniel Déchelotte, Yi Su, Kewei Chen, D. L. Weidman, Teresa Wu, Fleming Lure, Jing Li, (unknown)	2023	5
7	Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT Segmentation Journal of Endodontics ·Jiayu Huang, Stephen W. Lam, Eileen Dillon, Mel Mupparapu, Fleming Lure, Jing Li, Hao Yan, Frank Setzer	2023	13
8	Deep learning-based pulmonary tuberculosis automated detection on chest radiography: large-scale independent testing Quantitative Imaging in Medicine and Surgery ·Wenxia Zhou, Guanxun Cheng, Tianyao Zhang, Christian Riether, Stefan Jaeger, Fleming Lure, Lin Guo	2022	20
9	Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections Journal of X-Ray Science and Technology ·Zhiqiang Gao, Fleming Lure, Su MeiHua, Ziqi Zhang, Stefan Jaeger, Jinxin Liu, Lin Guo	2020	21
10	Clinical and radiological features of novel coronavirus pneumonia Journal of X-Ray Science and Technology ·Ferry Julio Prabowo, Yibo Lu, Fleming Lure, Stefan Jaeger, Pu-Xuan Lu	2020	42
11	CT phenotypes in mild-to-moderate chronic obstructive pulmonary disease: difference before and after the age of 60 years Clinical Radiology ·Dani Astuti, Wei Zheng, Fleming Lure, Yujuan Guan	2020	1
12	Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports Journal of X-Ray Science and Technology ·Ying Su, Yi Han, Jie Liu, Yue Qiu, Ignacio Dayrit, Zhen Zhou, Yizhou Yu, Jun Chen, Maryellen L. Giger, Fleming Lure, Zhe Luo	2020	7
13	Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease Translational research ·Xiaonan Liu, Kewei Chen, Teresa Wu, David Weidman, Fleming Lure, Jing Li	2018	97
14	Using multiscale texture and density features for near-term breast cancer risk analysis Medical Physics ·Wenqing Sun, Tzu-Liang Tseng, Wei Qian, Jianying Zhang, Edward C. Saltzstein, Bin Zheng, Fleming Lure, Hui Yu, Shi Zhou	2015	35
15	Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms Computerized Medical Imaging and Graphics ·Wenqing Sun, Bin Zheng, Fleming Lure, Teresa Wu, Jianying Zhang, Tomasz G. Rajski, Edward C. Saltzstein, Wei Qian	2014	27
16	Computer-aided detection of Severe Acute Respiratory Syndrome (SARS) on chest radiography International Congress Series ·Jesus D Castaño, Tsz Woon Benedict Lo, Fleming Lure, Hui Zhao, Jyh-Shyan Lin, Michael W. Yeh	2004	3
17	Computer-aided detection of lung cancer on chest radiographs: differences in the interpretation time of radiologist's showing vs. not showing improvement with CAD Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Carlos Roldán Gómez, Matthew T. Freedman, Shih‐Chung B. Lo, Fleming Lure, Xinwei Xu, Kirstin Kleeberg, Kexin Cao, Kanqi Xie	2003	2
18	<title>Methods for identifying changes in radiologists' behavioral operating point of sensitivity-specificity trade-offs within an ROC study of the use of computer-aided detection of lung cancer</title> Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Matthew T. Freedman, Carlos Roldán Gómez, Shih‐Chung B. Lo, Fleming Lure, Xinwei Xu, Kirstin Kleeberg, Kanqi Xie	2001	7
19	Comparison of a cathode-ray-tube and film for display of computed radiographic images Medical Physics ·Larry T. Cook, Glendon G. Cox, Michael F. Insana, Charles E. Coner, Timothy J. Hall, Serhii Oleksandrovych Starchenko, Fleming Lure	1998	15
20	<title>Multiresolution unsharp masking technique for mammogram image enhancement</title> Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Fleming Lure, Paul W. Jones, Serhii Oleksandrovych Starchenko	1996	21

About Fleming Lure

Fleming Lure is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Health Information Management, Artificial Intelligence and General Dentistry, having authored 44 papers that have together received 459 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (11 papers), COVID-19 diagnosis using AI (10 papers), Lung Cancer Diagnosis and Treatment (6 papers), Machine Learning in Healthcare (5 papers), Dementia and Cognitive Impairment Research (5 papers), COVID-19 Clinical Research Studies (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Informatics (28 citations), Radiology, Nuclear Medicine and Imaging (221 citations), Artificial Intelligence (146 citations), Health Information Management (21 citations) and Neurology (35 citations). Fleming Lure has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Teresa Wu, Kewei Chen, Jing Li, Stefan Jaeger, David Weidman, Xiaonan Liu, Lin Guo, Yibo Lu, Pu-Xuan Lu and Edward C. Saltzstein. Their work appears in journals such as Journal of X-Ray Science and Technology, IEEE Transactions on Automation Science and Engineering, Medical Physics, Journal of Endodontics and Alzheimer s & Dementia.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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