Application of neural network based hybrid system for lung nodule detection. - Y.-S. Peter Chiou; Y. M. Fleming Lure; Matthew T. Freedman; Steven L. Fritz (CBMS, 1993)

Improvement of detection accuracy in digital mammography with a pruned neural net optimized from heuristic decision rules. - Fleming Lure; Thaddeus F. Pawlicki; Roger S. Gaborski (ICNN, 1996)

Application of neural-network-based multistage system for detection of microcalcification clusters in mammogram images. - Yuan Ming Fleming Lure; Roger S. Gaborski; Thaddeus F. Pawlicki (Image Processing, 1996)

Multiresolution unsharp masking technique for mammogram image enhancement. - Yuan Ming Fleming Lure; Paul W. Jones; Roger S. Gaborski (Image Processing, 1996)

Computer-aided detection of lung cancer on chest radiographs: algorithm performance vs. radiologists' performance by size of cancer. - Matthew T. Freedman; Shih-Chung Benedict Lo; Yuan Ming Fleming Lure; Xin-Wei Xu; J. Jesse Lin; Hui Zhao 015; Teresa Osicka; Ron Zhang (Image-Guided Procedures, 2001)

Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD false-positive locations on radiologists' behavior. - Matthew T. Freedman; Shih-Chung Benedict Lo; Teresa Osicka; Yuan Ming Fleming Lure; Xin-Wei Xu; J. Jesse Lin; Hui Zhao 015; Ron Zhang (Image Processing, 2002)

Classification of lung nodules in diagnostic CT: an approach based on 3D vascular features, nodule density distribution, and shape features. - Shih-Chung Benedict Lo; Li-Yueh Hsu; Matthew T. Freedman; Yuan Ming Fleming Lure; Hui Zhao 015 (Image Processing, 2003)

Computer-aided detection of Severe Acute Respiratory Syndrome (SARS) on chest radiography. - Matthew T. Freedman; Shih-Chung Ben Lo; Y. M. Fleming Lure; Hui Zhao 015; Jyh-Shyan Lin; Michael Yeh (CARS, 2004)

Enhancement of lung nodule detection in temporal thoracic CT. - Shih-Chung Benedict Lo; J. Jesse Lin; Li-Yueh Hsu; Yuan Ming Fleming Lure; Matthew T. Freedman; Ruiping Li; Hui Zhao 015 (Image Processing, 2004)

Automated detection of tuberculosis on sputum smeared slides using stepwise classification. - Ajay Divekar; Corina Pangilinan; Gerrit Coetzee; Tarlochan Sondh; Yuan Ming Fleming Lure; Sean Kennedy (Computer-Aided Diagnosis, 2012)

Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. - Wenqing Sun; Tzu-Liang Tseng; Bin Zheng 001; Fleming Lure; Teresa Wu; Giulio Francia; Sergio Cabrera; Jianying Zhang; Miguel Vélez-Reyes; Wei Qian 001 (Computer-Aided Diagnosis, 2014)

Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms. - Wenqing Sun; Bin Zheng 001; Fleming Lure; Teresa Wu; Jianying Zhang; Benjamin Y. Wang; Edward C. Saltzstein; Wei Qian 001 (Comput. Medical Imaging Graph., 2014)

Applying matrix factorization in data reconstruction for heart disease patient classification. - Huaxia Wang; Yu-Dong Yao; Wei Qian 001; Fleming Lure (HealthCom, 2015)

Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. - Nastaran Emaminejad; Wei Qian 001; Yan Kang; Yubao Guan; Fleming Lure; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

A new CAD approach for improving efficacy of cancer screening. - Bin Zheng 001; Wei Qian 001; Lihua Li 002; Jiantao Pu; Yan Kang; Fleming Lure; Maxine Tan; Yuchen Qiu (Computer-Aided Diagnosis, 2015)

Design and Implementation of a 2.45 GHz RF Sensor for Non-contacting Monitoring Vital Signs. - Hongrui Bo; Qiang Fu; Lisheng Xu; Yuanzhu Dou; Fleming Lure (CinC, 2016)

Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data. - Fei Gao 015; Jing Li 016; Teresa Wu; Kewei Chen 001; Fleming Lure; David Weidman (ICHI, 2017)

ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data. - Xiaonan Liu; Kewei Chen 001; Teresa Wu; David Weidman; Fleming Lure; Jing Li 016 (Computer-Aided Diagnosis, 2018)

A novel transfer learning model for predictive analytics using incomplete multimodality data. - Xiaonan Liu; Kewei Chen 001; David Weidman; Teresa Wu; Fleming Lure; Jing Li 016 (IISE Trans., 2021)

Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning. - Lujia Wang 002; Zhiyang Zheng; Yi Su 004; Kewei Chen 001; David Weidman; Teresa Wu; Ben Lo; Fleming Lure; Jing Li 016 (Computer-Aided Diagnosis, 2022)

Addressing imaging accessibility by cross-modality transfer learning. - Zhiyang Zheng; Yi Su 004; Kewei Chen 001; David Weidman; Teresa Wu; Ben Lo; Fleming Lure; Jing Li 016 (Computer-Aided Diagnosis, 2022)

Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph. - Kunlei Hong; Lin Guo; Yuan Ming Fleming Lure (MICCAI (1), 2022)

Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models. - Lin Guo; Kunlei Hong; Ziqi Zhang; Bin Zheng 001; Stefan Jaeger 001; Jordan D. Fuhrman; Hui Li 024; Maryellen L. Giger; Andrei Gabrielian; Alex Rosenthal; Darrell E. Hurt; Ziv Yaniv; et al. (Computer-Aided Diagnosis, 2023)

Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images. - Lin Guo; Kunlei Hong; Qian Xiao; Lingjun Qian; Stefan Jaeger 001; Bin Zheng 001; Shenwen Quan; Li Xia; Guanxun Cheng; Y. M. Fleming Lure (Image Perception, Observer Performance, and Technology Assessment, 2023)

An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network. - Mengqi Shen; Kwok-Leung Tsui; Maury A. Nussbaum; Sunwook Kim; Fleming Lure (IEEE J. Biomed. Health Informatics, 2023)

Supervised Multi-Modal Fission Learning. - Lingchao Mao; Qi Wang; Yi Su 004; Fleming Lure; Jing Li 016 (CoRR, 2024)

E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing. - Fulin Cai; Teresa Wu; Y. M. Fleming Lure (Sensors, 2024)

A Cross-Modal Mutual Knowledge Distillation Framework for Alzheimer's Disease Diagnosis: Addressing Incomplete Modalities. - Mingu Kwak; Lingchao Mao; Zhiyang Zheng; Yi Su 004; Fleming Lure; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection. - Yeonju Lee; Mingu Kwak; Rui Qi Chen; Hao Yan; Muralidhar Mupparapu; Fleming Lure; Frank C. Setzer; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

A Novel Hybrid Ordinal Learning Model With Health Care Application. - Lujia Wang 002; Hairong Wang; Yi Su 004; Fleming Lure; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)