Health

Artificial Intelligence for the Computer-Aided Detection of Periapical Lesions in Cone-Beam Computed Tomographic Images
Introduction The aim of this study was to use a Deep Learning (DL) algorithm for the automated segmentation of cone-beam computed …
Frank C. Setzer, Katherine J. Shi, Zhiyang Zhang, Hao Yan, Hyunsoo Yoon, Mel Mupparapu, Jing Li
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Combining Anatomical Constraints and Deep Learning for 3-D CBCT Dental Image Multi-Label Segmentation
Machine learning research on medical images is becoming popular as advanced imaging technologies and equipment in medicine become more …
Jiayu Huang, Hao Yan, Jing Li, H. Milton Stewart, Frank Setzer
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Image Decomposition-Based Sparse Extreme Pixel-Level Feature Detection Model with Application to Medical Images
Pixel-level feature detection from images is an essential but challenging task encountered in domains such as detecting defects in …
Geet Lahoti, Jialei Chen, Xiaowei Yue, Hao Yan, Chitta Ranjan, Zhen Qian, Chuck Zhang, Ben Wang
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Anatomically-Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection
Compared with the rapidly growing artificial intelligence (AI) research in other branches of healthcare, the pace of developing AI …
Zhiyang Zheng, Hao Yan, Frank Setzer, Katherine Shi, Mel Mupparapu, Jing Li
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Rapid Detection of Hot-Spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
In many bio-surveillance and healthcare applications, data sources are measured from many spatial locations repeatedly over time, say, …
Yujie Zhao, Hao Yan, Sarah E. Holte, Roxanne P. Kerani, Yajun Mei
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