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A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 153-168
作者:  Zefa Hu;  Ziyi Ni;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(1525Kb)  |  收藏  |  浏览/下载：36/12  |  提交时间：2024/04/23
Medical dialogue understanding, information extraction, text generation, knowledge-enhanced prompt, low-resource setting, data augmentation  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：41/13  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Pre-training in Medical Data: A Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
作者:  Yixuan Qiu;  Feng Lin;  Weitong Chen;  Miao Xu
Adobe PDF(2262Kb)  |  收藏  |  浏览/下载：34/9  |  提交时间：2024/04/23
Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data  
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
作者:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  收藏  |  浏览/下载：582/394  |  提交时间：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 42-66
作者:  Uichin Lee;  Gyuwon Jung;  Eun-Yeol Ma;  Jin San Kim;  Heepyung Kim;  Jumabek Alikhanov;  Youngtae Noh;  Heeyoung Kim
Adobe PDF(2887Kb)  |  收藏  |  浏览/下载：523/351  |  提交时间：2023/01/03
Causal inference  data-driven analytics framework  digital therapeutics (DTx)  mobile and wearable data  technical and behavioral engagement  
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：245/51  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1477-1499
作者:  Mohamed Amine Ferrag;  Lei Shu;  Kim-Kwang Raymond Choo
Adobe PDF(2997Kb)  |  收藏  |  浏览/下载：169/40  |  提交时间：2021/09/03
Blockchain  COVID-19  healthcare  privacy  SARS-CoV-2  security  
An Overview of Recommendation Techniques and Their Applications in Healthcare 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 701-717
作者:  Wenbin Yue;  Zidong Wang;  Jieyu Zhang;  Xiaohui Liu
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载：228/54  |  提交时间：2021/04/09
Collaborative filtering (CF)  content-based recommendation  healthcare  recommendation system (RS)  
Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 673-688
作者:  G. Dharanibai;  Anupama Chandrasekharan;  Zachariah C. Alex
浏览  |  Adobe PDF(4844Kb)  |  收藏  |  浏览/下载：154/50  |  提交时间：2021/02/23
Cardiovascular magnetic resonance  left ventricle  endocardium  epicardium  myocardium  segmentation  active contour  dynamic programming.  
Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 30-43
作者:  Quan Qi;  Qing-De Li;  Yongqiang Cheng;  Qing-Qi Hong
浏览  |  Adobe PDF(2182Kb)  |  收藏  |  浏览/下载：128/45  |  提交时间：2021/02/22
Vascular geometric reconstruction  implicit modelling  parallel computing  high-performance  high-accuracy.