William Moore
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2023
A 2.19µW Self-Powered SoC with Integrated Multimodal Energy Harvesting, Dual-Channel up to -92dBm WRX and Energy-Aware Subsystem.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
2022
Functional activation features of memory in successful agers across the adult lifespan.
NeuroImage, 2022
2021
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.
npj Digit. Medicine, 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction.
CoRR, 2021
2020
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.
J. Digit. Imaging, 2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.
CoRR, 2020
27.1 A 65nm Energy-Harvesting ULP SoC with 256kB Cortex-M0 Enabling an 89.1µW Continuous Machine Health Monitoring Wireless Self-Powered System.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020
Proceedings of the AMIA 2020, 2020
2019
A Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction of Current Low-Dose CT Images.
IEEE Trans. Medical Imaging, 2019
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2016
Erratum to "Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images".
IEEE Trans. Medical Imaging, 2016
Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images.
IEEE Trans. Medical Imaging, 2016
2015
Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme.
IEEE J. Biomed. Health Informatics, 2015
J. Digit. Imaging, 2015
Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach.
Comput. Medical Imaging Graph., 2015
2014
Correction to "Total Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction".
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
Efficient 3D texture feature extraction from CT images for computer-aided diagnosis of pulmonary nodules.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
A novel computer-aided detection system for pulmonary nodule identification in CT images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2013
A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Incorporating User Perceptions and Product Attributes in Software Product Design and Evaluation.
Proceedings of the International Conference on Information Systems, 2012
2011
Sensitivity and Specificity of a CAD Solution for Lung Nodule Detection on Chest Radiograph with CTA Correlation.
J. Digit. Imaging, 2011
2010
2004
Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
1998
Proceedings of the 1998 workshop on Computer architecture education, 1998