William Moore - RankMe

27 papers C 1Misc 1Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference. CoRR Haoyang Pei, Ding Xia, Xiang Xu, William Moore, Yao Wang, Hersh Chandarana, Li Feng
2025	J	`jnl`	Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T. CoRR Jingjia Chen, Haoyang Pei, Christoph Maier, Mary Bruno, Qiuting Wen, Seon-Hi Shin, William Moore, Hersh Chandarana, Li Feng
2023	—	`conf`	A 2.19µW Self-Powered SoC with Integrated Multimodal Energy Harvesting, Dual-Channel up to -92dBm WRX and Energy-Aware Subsystem. ISSCC Christopher J. Lukas, Farah B. Yahya, Kuo-Ken Huang, Jim Boley, Daniel S. Truesdell, Jacob Breiholz, Atul Wokhlu, Kyle Craig, Jonathan K. Brown, Andrew Fitting, William Moore, Andy Shih, Alice Wang, Alain Gravel, David D. Wentzloff, Benton H. Calhoun
2022	J	`jnl`	Functional activation features of memory in successful agers across the adult lifespan. NeuroImage Xi Chen, Melissa M. Rundle, Kristen M. Kennedy, William Moore, Denise C. Park
2021	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2021	J	`jnl`	COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
2020	—	`conf`	27.1 A 65nm Energy-Harvesting ULP SoC with 256kB Cortex-M0 Enabling an 89.1µW Continuous Machine Health Monitoring Wireless Self-Powered System. ISSCC Jonathan K. Brown, David Abdallah, Jim Boley, Nicholas Collins, Kyle Craig, Greg Glennon, Kuo-Ken Huang, Christopher J. Lukas, William Moore, Richard K. Sawyer, Yousef Shakhsheer, Farah B. Yahya, Alice Wang, Nathan E. Roberts, David D. Wentzloff, Benton H. Calhoun
2020	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2020	Misc	`conf`	Poster: An Unexpected Pathway for Fentanyl Orders. AMIA David M. Liebovitz, William Moore, Kelsey Waier, Seth Hartman
2020	J	`jnl`	Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. J. Digit. Imaging Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang
2019	J	`jnl`	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 Yongfeng Gao, Zhengrong Liang, William Moore, Hao Zhang, Marc Jason Pomeroy, John A. Ferretti, Thomas V. Bilfinger, Jianhua Ma, Hongbing Lu
2019	—	`conf`	Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. Computer-Aided Diagnosis Fangfang Han, Linkai Yan, Chen Li, Shouliang Qi, William Moore, Zhengrong Liang, Wei Qian
2016	J	`jnl`	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 Hao Zhang, Hao Han, Zhengrong Liang, Yifan Hu, Yan Liu, William Moore, Jianhua Ma, Hongbing Lu
2016	J	`jnl`	Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images. IEEE Trans. Medical Imaging Hao Zhang, Hao Han, Zhengrong Liang, Yifan Hu, Yan Liu, William Moore, Jianhua Ma, Hongbing Lu
2015	J	`jnl`	Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme. IEEE J. Biomed. Health Informatics Hao Han, Lihong Li, Fangfang Han, Bowen Song, William Moore, Zhengrong Liang
2015	J	`jnl`	Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach. Comput. Medical Imaging Graph. Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hao Han, Hongbing Lu, William Moore, Zhengrong Liang
2015	J	`jnl`	Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules. J. Digit. Imaging Fangfang Han, Huafeng Wang, Guopeng Zhang, Hao Han, Bowen Song, Lihong Li, William Moore, Hongbing Lu, Hong Zhao, Zhengrong Liang
2014	—	`conf`	A novel computer-aided detection system for pulmonary nodule identification in CT images. Computer-Aided Diagnosis Hao Han, Lihong Li, Huafeng Wang, Hao Zhang, William Moore, Zhengrong Liang
2014	J	`jnl`	Correction to "Total Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction". IEEE Trans. Medical Imaging Yan Liu, Zhengrong Liang, Jianhua Ma, Hongbing Lu, Ke Wang, Hao Zhang, William Moore
2014	—	`conf`	Efficient 3D texture feature extraction from CT images for computer-aided diagnosis of pulmonary nodules. Computer-Aided Diagnosis Fangfang Han, Huafeng Wang, Bowen Song, Guopeng Zhang, Hongbing Lu, William Moore, Zhengrong Liang, Hong Zhao
2014	J	`jnl`	Total Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction. IEEE Trans. Medical Imaging Yan Liu, Zhengrong Liang, Jianhua Ma, Hongbing Lu, Ke Wang, Hao Zhang, William Moore
2013	—	`conf`	A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules. Computer-Aided Diagnosis Fangfang Han, Huafeng Wang, Bowen Song, Guopeng Zhang, Hongbing Lu, William Moore, Hong Zhao, Zhengrong Liang
2012	C	`conf`	Incorporating User Perceptions and Product Attributes in Software Product Design and Evaluation. ICIS Han-fen Hu, William Moore, Paul Jen-Hwa Hu
2011	J	`jnl`	Sensitivity and Specificity of a CAD Solution for Lung Nodule Detection on Chest Radiograph with CTA Correlation. J. Digit. Imaging William Moore, Jennifer Ripton-Snyder, George Wu, Craig Hendler
2010	J	`jnl`	Designing science web sites. Earth Sci. Informatics Kica Worrilow, Todd King, Raymond Walker, Mark E. Rose, William Moore, Steven Joy
2004	—	`conf`	Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study. CARS David P. Naidich, Jane P. Ko, Jonathan Stoeckel, Nicole Abinanti, Stanley Lu, Daniel Aaron Moses, William Moore, Ioannis Vlahos, Carol L. Novak
1998	—	`conf`	Performance monitoring in advanced computer architecture. WCAE@ISCA Richard J. Enbody, Kelley Pellini, William Moore