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Yan Chen 0012
Person information
- affiliation: University of Nottingham, UK
- affiliation (former): Loughborough University, UK
Other persons with the same name
- Yan Chen — disambiguation page
- Yan Chen 0001 — Max Planck Institute for Software Systems, Saarbrüen, Germany
- Yan Chen 0002 — Science Systems and Applications, Inc.
- Yan Chen 0003 — University of Electronic Science and Technology of China, School of Automation, Chengdu, China
- Yan Chen 0004
— Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, IL, USA (and 2 more)
- Yan Chen 0005 — Shanghai Jiaotong University, Department of Electronics Engineering, China
- Yan Chen 0006
- Yan Chen 0007
- Yan Chen 0008 — Shanghai University of Finance and Economics, China (and 1 more)
- Yan Chen 0009 — Borough of Manhattan Community College, CUNY, NY, USA
- Yan Chen 0010
- Yan Chen 0011 — Soochow University, Suzhou, China
- Yan Chen 0013
- Yan Chen 0014
- Yan Chen 0015 — Dalian Maritime University, Dalian, China
- Yan Chen 0016
- Yan Chen 0017
- Yan Chen 0018 — Harbin Institute of Technology, Shenzhen, China
- Yan Chen 0019
- Yan Chen 0020 — University of Technology, Sydney, Australia
- Yan Chen 0021
- Yan Chen 0022
- Yan Chen 0023
- Yan Chen 0024 — Kaiserslautern University of Technology, Germany
- Yan Chen 0025
- Yan Chen 0026
- Yan Chen 0027
- Yan Chen 0028
- Yan Chen 0029
- Yan Chen 0030
- Yan Chen 0031
- Yan Chen 0032
- Yan Chen 0033
- Yan Chen 0034
- Yan Chen 0035 — Nanyang Technological University, School of Computer Engineering, Singapore
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2020 – today
- 2023
- [c21]George J. W. Partridge, Peter Phillips
Challenges and solutions to processing and visualising eye tracking data from digital pathology studies. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c20]Adnan Taib
Identifying and preventing fatigue in digital breast tomosynthesis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c19]Luyan Yao, Jiefei Wei
Full-field digital mammogram retrieval using Fourier feature-based auto-encoder: application in breast cancer screening training. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [e2]Claudia R. Mello-Thoms, Yan Chen:
Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, USA, February 21-23, 2023. SPIE Proceedings 12467, SPIE 2023, ISBN 9781510660397 [contents] - 2022
- [c18]George J. W. Partridge, Peter Phillips
Investigating reading strategies and eye behaviours associated with high diagnostic performance when reading digital breast tomosynthesis (DBT) images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [j3]Xiyao Liu, Yuying Sun, Jiahui Wang, Cundian Yang
A novel zero-watermarking scheme with enhanced distinguishability and robustness for volumetric medical imaging. Signal Process. Image Commun. 92: 116124 (2021) - [c17]Ellhia Sudin, Dorina Roy, Nourdin Kadi, Panagiotis Triantafyllakis, Guprit Atwal, Alastair G. Gale, Ian Ellis, David R. J. Snead, Yan Chen:
Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour. Medical Imaging: Digital Pathology 2021 - [c16]Dorina Roy, Amanda Koh, Alastair G. Gale, Peter Phillips
Employing eye tracking to identify the onset of fatigue in Digital Breast Tomosynthesis (DBT) readers for a national breast cancer screening programme. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2021 - [c15]Mitchell Searjeant, Peter Phillips
Blink identification with eye tracking: a software processing program. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2021 - 2020
- [c14]Amanda Koh
Understanding digital pathology performance: an eye tracking study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 1131607
2010 – 2019
- 2019
- [j2]Xiyao Liu
A Novel Robust Reversible Watermarking Scheme for Protecting Authenticity and Integrity of Medical Images. IEEE Access 7: 76580-76598 (2019) - [c13]Leng Dong, Jacquie Jenkins, Eleanor Cornford, Yan Chen:
The relationship between breast screening readers' real-life performance and their associated performance on the PERFORMS scheme (Conference Presentation). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520S - [c12]Eleni Michalopoulou, Alastair G. Gale, Yan Chen
Prostate Imaging Self-assessment and Mentoring (PRISM): a prototype self-assessment scheme. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 1095212 - 2018
- [j1]Ye-zhan Zeng, Yu-qian Zhao, Shenghui Liao, Miao Liao, Yan Chen
Liver vessel segmentation based on centerline constraint and intensity model. Biomed. Signal Process. Control. 45: 192-201 (2018) - [c11]Qiang Tang, Yan Chen, Gerald Schaefer, Alastair G. Gale:
The development of an augmented reality (AR) approach to mammographic training: overcoming some real world challenges. Medical Imaging: Image-Guided Procedures 2018: 105762M - 2017
- [c10]Qiang Tang, Yan Chen, Alastair G. Gale:
Rich Interaction and Feedback Supported Mammographic Training: A Trial of an Augmented Reality Approach. MIUA 2017: 377-385 - 2016
- [c9]Yan Chen, Leng Dong, Hossein Nevisi, Alastair G. Gale:
The International Use of PERFORMS Mammographic Test Sets. Digital Mammography / IWDM 2016: 130-135 - [c8]Alastair G. Gale, Yan Chen:
Preface. MIUA 2016: 1 - [c7]Leng Dong, Yan Chen, Alastair G. Gale, Peter Phillips
Eye Tracking Method Compatible with Dual-screen Mammography Workstation. MIUA 2016: 206-211 - [e1]Alastair G. Gale, Yan Chen:
20th Conference on Medical Image Understanding and Analysis, MIUA 2016, Loughbrough University, Leicestershire, UK, July 6-8, 2016. Procedia Computer Science 90, Elsevier 2016 [contents] - 2015
- [c6]Yan Chen, Leng Dong, Alastair G. Gale:
Determining Accurate User-Indicated Abnormality Location Information in Medical Imaging Studies. MIUA 2015: 150-155 - 2012
- [c5]Alastair G. Gale, Yan Chen:
Radiological informatics in breast screening: Towards improved radiologists' performance. BMEI 2012: 1104-1107 - 2010
- [c4]Yan Chen, Alastair G. Gale:
Intelligent Computing Applications Based on Eye Gaze: Their Role in Medical Image Interpretation. ICIC (3) 2010: 320-325 - [c3]Yan Chen, Alastair G. Gale:
Mammographic Interpretation Training: How Could Low Cost Display Devices Help? Digital Mammography / IWDM 2010: 357-364
2000 – 2009
- 2009
- [c2]Yan Chen, Alastair G. Gale, Hazel J. Scott, Andrew Evans, Jonathan James:
Computer-Based Learning to Improve Breast Cancer Detection Skills. HCI (4) 2009: 49-57 - 2007
- [c1]Yan Chen, Tracy Ross, Val Mitchell
The Need for Technology to Support Creative Information Sharing Whilst Mobile: Identified Activities and Relationship Groups. HCI (15) 2007: 50-59
Coauthor Index
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