Hao Yan
Hao Yan
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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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DOI
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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DOI
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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DOI
Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection
This paper develops a unified framework for training and deploying deep neural networks on the edge computing framework for image …
Jiayu Huang
,
Nurretin Sergin
,
Akshay Dua
,
Erfan Bank Tavakoli
,
Hao Yan
,
Fengbo Ren
,
Feng Ju
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Project
DOI
Real-Time Detection of Clustered Events in Video-Imaging Data with Applications to Additive Manufacturing
The use of video-imaging data for in-line process monitoring applications has become more and more popular in the industry. In this …
Hao Yan
,
Marco Grasso
,
Kamran Paynabar
,
Bianca Maria Colosimo
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DOI
Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders
Variational autoencoders have been recently proposed for the problem of process monitoring. While these works show impressive results …
Nurettin Dorukhan Sergin
,
Hao Yan
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DOI
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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DOI
Image-Based Process Monitoring via Adversarial Autoencoder with Applications to Rolling Defect Detection
Image-based process monitoring has recently attracted increasing attention due to the advancement of the sensing technologies. However, …
Hao Yan
,
Huai Ming Yeh
,
Nurettin Sergin
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DOI
Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition
High-dimensional data monitoring and diagnosis has recently attracted increasing attention among researchers as well as practitioners. …
Hao Yan
,
Kamran Paynabar
,
Jianjun Shi
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DOI
Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition
In various manufacturing applications such as steel, composites, and textile production, anomaly detection in noisy images is of …
Hao Yan
,
Kamran Paynabar
,
Jianjun Shi
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