Thanks to the amazing work from all the volunteers, we have completed the workflow in identifying dental diseases on over 6,000 radiographs in previous workflows. It is a great milestone of the project.
We have also completed all other datasets and moved this project into the 'Finished' category. To browse other active projects that still need your classifications, check out zooniverse.org/projects.
The Team
Principal Investigator
Dr Yunpeng Li
Yunpeng Li is a Senior Lecturer in AI in the Department of Computer Science, University of Surrey. Yunpeng’s research interests are in the areas of trustworthy AI, particularly through uncertainty quantification, Bayesian inference and federated learning. He has broad interests in the interdisciplinary AI for health domain including diagnostic radiology, dental disease detection, breast cancer detection, and infectious disease monitoring.
Co-Investigators
Professor Yaochu Jin
Yaochu jin is a Distinguished Chair and Professor in Computational Intelligence, Head of the Nature Inspired Computing and Engineering (NICE) group, Co-Coordinator of the Centre for Mathematical and Computational Biology (CMCB), Department of Computer Science, University of Surrey. He was a Finland Distinguished Professor (2015-17) with the Multi-objective Optimization Group, Faculty of Information Technology, University of Jyvaskyla, Finland, and a Changjiang Distinguished Visiting Professor (2015-17), State Key Laboratory of Synthetical Automation of Process Industry, Northeastern University, China.
Professor Philip Evans
Philip Evans is a Professor of Medical Radiation Imaging in The Centre for Vision Speech and Signal Processing (CVSSP). He joined the university in 2012 with a track record of 25 years in the field of medical radiation imaging and radiotherapy technology. Joining a world leading centre in CVSSP, and a university with such a great portfolio of science and engineering activity as Surrey, was a great opportunity to contribute to the development of the next generation of medical technology.
Dr Zhenhua Feng
Zhenhua Feng is a Lecturer in Computer Vision and Machine Learning at the Department of Computer Science, University of Surrey. He received my PhD in computer vision and pattern recognition from the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey in 2016. Before he joined the Department of Computer Science, he was a Senior Research Fellow at CVSSP, University of Surrey. His research interests include computer vision, pattern recognition, image processing, biometrics, machine learning and other AI topics.
Industry Partners
Dr Jonathan Tan
Dr J Tan was a course coordinator at National University of Singapore Dentistry Faculty 1995-1999. He was also one of the founding partners of Apex Dental care Body Corporate. 2000-2006.
He set up Guildford Health Ltd in 2017 - present.
He is currently In Collaboration with University of Surrey Computer Science Dept on AI Assisted Diagnostic Radiology since 2019- Present.
Recently, Bionetic Health Ltd was set up to develop the First Line Defence for COVID-19 and Flu prevention in the form of Nasal Spray from early 2020 - Present.
To Collaborate with University of Surrey under JAVA Health LTD for commercialisation of any Patented research and development through collaboration identification post 2021.
Dr Jimmy Makdissi
Dr Makdissi joined the Institute of Dentistry, Barts and The London School of Medicine and Dentistry, in 2004 as a Clinical Senior Lecturer and Honorary Consultant in Dental and Maxillofacial Radiology. He directs the Dental and Maxillofacial Radiology programme of the undergraduate BDS curriculum. He completed his specialist training at Guy’s Hospital and obtained the Diploma of Dental Radiology from the Royal College of Radiologists. He has served on the Education Committee of the International Association of Oral and Maxillofacial Radiology. He has also served as the Dental Tutor for the London Deanery at Barts Health, the Faculty Tutor at the Royal College of Surgeons and as the President of the Metropolitan Branch of the British Dental Association. In addition, he is the founder of the Cone Beam Computed Tomography (CBCT) Interpretation Masterclass providing UK-based CBCT hands-on training along with a collection of e-learning modules. Jimmy is currently doing his PhD on the use of MRI in Dentistry.
Dr Mark Halling-Brown
Dr Mark Halling-Brown is the Head of Scientific Computing at the Royal Surrey County Hospital. His role in Scientific Computing involves leading a team in the development of Clinical Systems and databases, services and techniques for visualization, analysis and investigation of medical imagery, improvement of QA services, clinical applications and AI/Machine learning on medical images.
His teams remit covers involvement in a number of areas including Clinical Computing, Radiation Protection, Nuclear Medicine, Radiotherapy and Mammography. His teams are notably involved in the development of services and techniques for visualization, analysis and investigation of medical imagery, working with CRUK grants towards improvement of services for the NHSBSP and investigation and development of Remote QC capabilities. The teams’ recent focus involves the development and validation of AI tools for use in healthcare.
Recently, his team’s involvement in the OPTIMAM project has led to the creation of one of the world’s largest mammography image databases (OMI-DB). This development has led to an increased involvement of the team in development of artificial intelligence techniques to automate breast cancer detection and to estimate future cancer risk using images. The database has over 3 million images and is continuing to grow into a world class tool for the research planned in this proposal. His team has excellent experience in image data collection, curation, centralization and distribution in projects such as OPTIMAM, PROSPECTS, PHOSP-Covid and NCCID.
Research Scientists
Conghui Hu
Conghui Hu is a research fellow at Computer Vision and Robotic Perception (CVRP) Laboratory, National University of Singapore. Her research interest is computer vision and its applications. She is working on the dental disease detection algorithm design and development for this project.
Govind Sharma
Govind Sharma is a post-doctoral research fellow at the University of Surrey, where he works on dental disease detection by analyzing radiographs using machine learning. Most of his prior research has been on hypergraph networks and deep models thereof. Apart from computer vision, his research interests lie around trustworthy AI, network science, natural language processing, and machine learning in general. He had completed his PhD from the Indian Institute of Science, Bangalore in the year 2020.
Doctoral Students
Ruoqing (Camellia) Yin
Ruoqing (Camellia) Yin is a PhD student in the department of Computer Science, University of Surrey. Camellia’s research interest is trust-worthy AI in Bayesian sequential deep learning. She’s currently working on developing hybrid dental detection algorithm and the implementation.
Ryan Banks
Ryan Banks is a first year PhD student in the Department of Computer Science at the University of Surrey. Ryan is conducting research in object detection and synthetic radiograph generation in the medical imaging field.
Xiongjie Chen
Xiongjie Chen is a PhD student in the Department of Computer Science, University of Surrey. His research interests include optimal transport in machine learning, uncertainty quantification in high-dimensional spaces, and Bayesian deep learning. In the dental disease detection project, Xiongjie have been collaboratively working with Camellia in implementing algorithms and image annotation.
Research Interns
Zamzam Mohamed
Zamzam Mohamed is an undergraduate Computer Science student heading into her 3rd year at the University of Surrey. In the dental disease detection project, her role is to develop an online version of the annotation tool with a working database and to help carry out internal testing.
