Professor Moi Hoon Yap
Professor Moi Hoon Yap
Professor of Image and Vision Computing
Lead, Human-Centred Computing
My profile
Biography
Moi Hoon Yap is Professor of Image and Vision Computing and the lead of Human-Centred Computing at The Manchester Metropolitan University. As the holder of The Royal Society Industry Fellowship (2016-2018) and an on-going PhD studentship (2018-2022), hosted by Image Metrics Ltd, her research is driven by industrial needs. She is leading research in computer vision and deep learning techniques for medical image analysis and facial analysis. Moi Hoon has received research funding from The Royal Society, EU Funding, EPSRC, Innovate UK, Cancer Research UK and industry partners. She serves as the Associate Editor of the Journal of Computers and Programs in Biomedicine and panel member of UK funding bodies. She is leading the technology development for diabetic foot ulcer tools, created novel datasets for reproducible research and conducted international challenges.
Interests and expertise
My main research focuses are creation of new image analysis techniques for early detection of cancer and innovation in digital solutions for image analysis in dermatology (including foot ulcers and wound). In the short term, I will continue to lead my current research in early detection of cancer. In addtion, I am keen in creating new technology to aid human interpretation, develop tools to understand human behaviour and quantify the human interaction.
I am leading several projects in datasets creation and sustainable software development to enable reproducibility of research. The data sharing remains challenging in the field of biomedical imaging. Despite these challenges, I managed to co-create several diabetic foot ulcers datasets with clinicians and lead several grand challenges (current challenge: https://dfu-2021.grand-challenge.org/) in conjunction with MICCAI 2020 – MICCAI 2022. My goal is to work with researchers globally to form a mechanism to share the biomedical data and to support federated learning.
Research expertise
Computer Vision, Facial and Gesture Analysis, Medical Image Analysis, Human Behavioural Analysis
Projects
Nov 2020 – Apr 2021: FAST Healthcare NetworksPlus Award (EP/N02700/1)
Project: Early Detection of Skin Cancer by Using Mobile Devices at Point of Care
Role: Principal Investigator
Sep 2018 – Aug 2022: The Royal Society PhD Studentship for Industry Fellow (INF/PHD/180007)
Project: A Facial Inpainting Framework for Virtual Try-on Technology
Role: Principal Investigator
Jan 2020 – Dec 2021: Early Detection Committee – Innovation Award (C52190/A3005)
Project: MAMMOBOT – A Flexible Robot for Early Breast Cancer Diagnosis
Role: Co-Investigator
Mar 2019 – Mar 2021: Oracle Innovator Accelerator Grant
Project: FootSnap – A Cloud-based infrastructure for Diabetic Foot Ulcer Detection
Role: Principal Investigator
Jan 2017 – June 2021: Marie Skłodowska-Curie Innovative Training Network
Project: Training European experts in multilevel bioimaging, analysis and modelling of vertebrate development and disease (ImageInLife).
Funded by the European Commission (€3.6M)
Sep 2017 – Aug 2019: Academic Lead for KTP grant with C-Sols (KTP010716)
Project: Software and App development for Laboratory Equipment (This involves software development, data visualisation and pattern recognition by using deep learning models)
Funded by the Innovate UK (£217,874.55)
Oct 2016 – Oct 2018: Royal Society Industry Fellowship (IF160006), hosted by Image Metrics Ltd
Project: A Face Wrinkle Framework for Mobile Application
Teaching
Subject areas
Data Analytics
Computer Vision
Deep Learning
Undergraduate courses
- Mobile Applications Development
- Java Programming
- Algorithms and Data Structures
Postgraduate courses
- Data Analytics
- Deep Learning
Supervision
Research outputs
Recent publications:
Cassidy, B., Kendrick, C., Brodzicki, A., Jaworek-Korjakowska, J. and Yap, M.H., 2022. Analysis of the ISIC image datasets: Usage, benchmarks and recommendations. Medical image analysis, 75, p.102305.
Chen, G., Li, L., Dai, Y., Zhang, J. and Yap, M.H., 2022. AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images. IEEE Transactions on Medical Imaging.
Cassidy, B., Reeves, N.D., Pappachan, J.M., Ahmad, N., Haycocks, S., Gillespie, D. and Yap, M.H., 2022. A cloud-based deep learning framework for remote detection of diabetic foot ulcers. IEEE Pervasive Computing, 21(2), pp.78-86.
Pewton, S.W. and Yap, M.H., 2022. Dark Corner on Skin Lesion Image Dataset: Does it matter?. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4831-4839).
Yap, M.H., Hachiuma, R., Alavi, A., Brüngel, R., Cassidy, B., Goyal, M., Zhu, H., Rückert, J., Olshansky, M., Huang, X. and Saito, H., 2021. Deep learning in diabetic foot ulcers detection: a comprehensive evaluation. Computers in Biology and Medicine, 135, p.104596.
For full publications: https://scholar.google.co.uk/citations?user=dOSXMNMAAAAJ&hl=en
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Books (authored/edited/special issues)
Yap, M.H., Kendrick, C., Cassidy, B. (2023) Preface.
Yap, M.H., Cassidy, B., Kendrick, C. (2022) Preface.
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Chapters in books
Chiamaka Okafor, N., Cassidy, B., O’Shea, C., Pappachan, J.M., Yap, M.H. (2024) 'The Effect of Image Preprocessing Algorithms on Diabetic Foot Ulcer Classification.' pp. 336-352.
Boon, I.S., Yap, M.H., Au Yong, T.P.T., Boon, C.S. (2023) 'Case study: Deep learning in radiotherapy auto segmentation.' Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians. pp. 355-364.
Kendrick, C., Cassidy, B., Reeves, N.D., Pappachan, J.M., O’Shea, C., Chandrabalan, V., Yap, M.H. (2023) 'Diabetic Foot Ulcer Grand Challenge 2022 Summary.' pp. 115-123.
Dipto, I.C., Cassidy, B., Kendrick, C., Reeves, N.D., Pappachan, J.M., Chandrabalan, V., Yap, M.H. (2023) 'Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification.' pp. 1-18.
Jaworek-Korjakowska, J., Wojcicka, A., Kucharski, D., Brodzicki, A., Kendrick, C., Cassidy, B., Yap, M.H. (2023) 'Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images.' pp. 167-184.
Agarwal, R., Yap, M.H., Hasan, M.K., Zwiggelaar, R., Martí, R. (2022) 'Deep Learning in Mammography Breast Cancer Detection.' Artificial Intelligence in Medicine. pp. 1287-1300.
Jaworek-Korjakowska, J., Yap, M.H., Bhattacharjee, D., Kleczek, P., Brodzicki, A., Gorgon, M. (2022) 'Deep neural networks and advanced computer vision algorithms in the early diagnosis of skin diseases.' State of the Art in Neural Networks and their Applications: Volume 2. pp. 47-81.
Goyal, M., Reeves, N.D., Rajbhandari, S., Yap, M.H. (2022) 'Computerised Methods for Monitoring Diabetic Foot Ulcers on Plantar Foot: A Feasibility Study.' pp. 199-211.
Reeves, N.D., Cassidy, B., Abbott, C.A., Yap, M.H. (2021) 'Novel technologies for detection and prevention of diabetic foot ulcers.' The Science, Etiology and Mechanobiology of Diabetes and its Complications. pp. 107-122.
Leightley, D., Li, B., McPhee, J.S., Yap, M.H., Darby, J. (2014) 'Exemplar-Based Human Action Recognition with Template Matching from a Stream of Motion Capture.' Lecture Notes in Computer Science. Springer International Publishing, pp. 12-20.
Yap, M.H., Ugail, H. (2013) 'Facial image processing in computer vision.' Image Processing: Concepts, Methodologies, Tools, and Applications. pp. 1111-1123.
Yap, M.H., Edirisinghe, E., Bez, H. (2012) 'Computer Aided Detection and Recognition of Lesions in Ultrasound Breast Images.' Innovations in Data Methodologies and Computational Algorithms for Medical Applications. IGI Global, pp. 125-152.
Yap, M.H., Ugail, H. (2011) 'Facial image processing in computer vision.' Applied Signal and Image Processing: Multidisciplinary Advancements. pp. 179-190.
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Journal articles
Maudsley-Barton, S., Yap, M.H. (2024) 'Objective falls risk assessment using markerless motion capture and representational machine learning.' Sensors, 24(14)
Yap, M.H., Cassidy, B., Byra, M., Liao, T.Y., Yi, H., Galdran, A., Chen, Y.H., Brüngel, R., Koitka, S., Friedrich, C.M., Lo, Y.W., Yang, C.H., Li, K., Lao, Q., Ballester, M.A.G., Carneiro, G., Ju, Y.J., Huang, J.D., Pappachan, J.M., Reeves, N.D., Chandrabalan, V., Dancey, D., Kendrick, C. (2024) 'Diabetic foot ulcers segmentation challenge report: benchmark and analysis.' Medical Image Analysis, 94
Pewton, S.W., Cassidy, B., Kendrick, C., Yap, M.H. (2024) 'Dermoscopic dark corner artifacts removal: Friend or foe?.' Computer Methods and Programs in Biomedicine, 244
Yap, M.H., Behera, A., Cootes, T., Zwiggelaar, R., Kendrick, C. (2024) 'Preface.' Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14859 LNCSpp. v-vi.
Yap, M.H., Kendrick, C., Behera, A., Coote, T., Zwiggelaar, R. (2024) 'Preface.' Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14860 LNCSpp. v-vi.
Yazed, M.S.M., Shaubari, E.F.A., Yap, M.H. (2023) 'A review of neural network approach on engineering drawing recognition and future directions.' International Journal on Informatics Visualization, 7(4) pp. 2513-2522.
Cassidy, B., Yap, M.H., Pappachan, J.M., Ahmad, N., Haycocks, S., O'Shea, C., Fernandez, C.J., Chacko, E., Jacob, K., Reeves, N.D. (2023) 'Artificial intelligence for automated detection of diabetic foot ulcers: A real-world proof-of-concept clinical evaluation.' Diabetes Research and Clinical Practice, 205
Maudsley-Barton, S., Yap, M.H. (2023) 'KINECAL: a dataset for falls-risk assessment and balance impairment analysis.' Scientific Data, 10(1) pp. 633-633.
Yap, C.H., Yap, M.H., Davison, A.K., Cunningham, R. (2023) 'Self-supervised spontaneous latent-based facial expression sequence generation.' IEEE Open Journal of Signal Processing, 4pp. 304-312.
Thomas, C., Byra, M., Marti, R., Yap, M.H., Zwiggelaar, R. (2023) 'BUS-Set: a benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets.' Medical Physics, 50(5) pp. 3223-3243.
Chen, G., Li, L., Dai, Y., Zhang, J., Yap, M.H. (2023) 'AAU-Net: an Adaptive Attention U-Net for breast lesions segmentation in ultrasound images.' IEEE Transactions on Medical Imaging, 42(5) pp. 1289-1300.
Li, J., Yap, M.H., Cheng, W.H., See, J., Hong, X., Li, X., Wang, S.J. (2023) 'Editorial for pattern recognition letters special issue on face-based emotion understanding.' Pattern Recognition Letters, 168pp. 8-9.
Jude, E.B., Tentolouris, N., Rastogi, A., Yap, M.H., Pedrosa, H.C., Ling, S.F. (2022) 'Vitamin D prescribing practices among clinical practitioners during the COVID-19 pandemic.' Health Science Reports, 5(4)
Zhao, K., Chen, T., Chen, L., Fu, X., Meng, H., Yap, M.H., Yuan, J., Davison, A.K. (2022) 'Editorial: Facial Expression Recognition and Computing: an Interdisciplinary Perspective.' Frontiers in Psychology, 13pp. 940630-940630.
Cassidy, B., Reeves, N.D., Pappachan, J.M., Ahmad, N., Haycocks, S., Gillespie, D., Yap, M.H. (2022) 'A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers.' IEEE Pervasive Computing, 21(2) pp. 78-86.
Al-Garaawi, N., Ebsim, R., Alharan, A.F.H., Yap, M.H. (2022) 'Diabetic foot ulcer classification using mapped binary patterns and convolutional neural networks.' Computers in Biology and Medicine, 140pp. 105055-105055.
Cassidy, B., Kendrick, C., Brodzicki, A., Jaworek-Korjakowska, J., Yap, M.H. (2022) 'Analysis of the ISIC image datasets: Usage, benchmarks and recommendations.' Medical Image Analysis, 75
Yap, M.H., Kendrick, C., Reeves, N.D., Goyal, M., Pappachan, J.M., Cassidy, B. (2022) 'Development of Diabetic Foot Ulcer Datasets: An Overview.' pp. 1-18.
Jaworek-Korjakowska, J., Brodzicki, A., Cassidy, B., Kendrick, C., Yap, M.H. (2021) 'Interpretability of a deep learning based approach for the classification of skin lesions into main anatomic body sites.' Cancers, 13(23)
Yap, M.H., Batool, N., Ng, C.C., Rogers, M., Walker, K. (2021) 'A Survey on Facial Wrinkles Detection and Inpainting: Datasets, Methods, and Challenges.' IEEE Transactions on Emerging Topics in Computational Intelligence, 5(4) pp. 505-519.
Yap, C.H., Cunningham, R., Davison, A.K., Yap, M.H. (2021) 'Synthesising facial macro-and micro-expressions using reference guided style transfer.' Journal of Imaging, 7(8) pp. 142-142.
Yap, M.H., Hachiuma, R., Alavi, A., Brüngel, R., Cassidy, B., Goyal, M., Zhu, H., Rückert, J., Olshansky, M., Huang, X., Saito, H., Hassanpour, S., Friedrich, C.M., Ascher, D.B., Song, A., Kajita, H., Gillespie, D., Reeves, N.D., Pappachan, J.M., O'Shea, C., Frank, E. (2021) 'Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.' Computers in Biology and Medicine, 135
Dokmegang, J., Yap, M.H., Han, L., Cavaliere, M., Doursat, R. (2021) 'Computational modelling unveils how epiblast remodelling and positioning rely on trophectoderm morphogenesis during mouse implantation.' PLoS ONE, 16(7 July)
Boon, I.S., Yap, M.H., Au Yong, T.P.T., Boon, C.S. (2021) 'The COVID-19 Pandemic as a Catalyst for a National Cancer Imaging Repository: Answering the Topol Review.' Clinical Oncology, 33(3) pp. e194-e194.
Jam, J., Kendrick, C., Walker, K., Drouard, V., Hsu, J.G.S., Yap, M.H. (2021) 'A comprehensive review of past and present image inpainting methods.' Computer Vision and Image Understanding, 203
Cassidy, B., Reeves, N.D., Pappachan, J.M., Gillespie, D., O'Shea, C., Rajbhandari, S., Maiya, A.G., Frank, E., Boulton, A.J.M., Armstrong, D.G., Najafi, B., Wu, J., Kochhar, R.S., Yap, M.H. (2021) 'The DFUC 2020 dataset: Analysis towards diabetic foot ulcer detection.' European Endocrinology, 1(1) pp. 5-11.
Jam, J., Kendrick, C., Drouard, V., Walker, K., Yap, M.H. (2021) 'Foreground-Guided Facial Inpainting with Fidelity Preservation.' Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13053 LNCSpp. 231-241.
Boon, I.S., Lim, J.S., Yap, M.H., Au Yong, T.P.T., Boon, C.S. (2020) 'Artificial intelligence and soft skills in radiation oncology: Data versus wisdom.' Journal of Medical Imaging and Radiation Sciences, 51(4) pp. S114-S115.
Henry, J., Tang, S., Mukhopadhyay, S., Yap, M.H. (2020) 'A Randomised Control Trial for measuring Student Engagement through the Internet of Things and Serious Games.' Internet of Things, 13pp. 100332-100332.
Boon, I.S., Yap, M.H., Au Yong, T.P.T., Boon, C.S. (2020) 'Interpreting clinical significance of machine learning approaches and radiomics in radiation oncology trials.' Radiotherapy and Oncology, 152pp. 78-79.
Ascenso, G., Yap, M.H., Allen, T.B., Choppin, S.S., Payton, C. (2020) 'FISHnet: Learning to Segment the Silhouettes of Swimmers.' IEEE Access, 8
Ascenso, G., Yap, M.H., Allen, T., Choppin, S.S., Payton, C. (2020) 'A review of silhouette extraction algorithms for use within visual hull pipelines.' Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 8(6) pp. 649-670.
Boon, I.S., Yap, M.H., Au Yong, T.P.T., Boon, C.S. (2020) 'Radiomics: Quantitative Radiology transforming Oncology Care.' British Journal of Radiology, 93(1111)
Yap, M.H., Goyal, M., Osman, F., Martí, R., Denton, E., Juette, A., Zwiggelaar, R. (2020) 'Breast ultrasound region of interest detection and lesion localisation.' Artificial Intelligence in Medicine, 107
Agarwal, R., Díaz, O., Yap, M.H., Lladó, X., Martí, R. (2020) 'Deep learning for mass detection in Full Field Digital Mammograms.' Computers in Biology and Medicine, 121pp. 103774-103774.
Elbashir, R.M., Yap, M.H. (2020) 'Evaluation of automatic facial wrinkle detection algorithms.' Journal of Imaging, 6(4)
Maudsley-Barton, S., Yap, M.H., Bukowski, A., Mills, R., McPhee, J. (2020) 'A new process to measure postural sway using a Kinect depth camera during a Sensory Organisation Test.' PLoS One, 15(2)
Goyal, M., Reeves, N.D., Rajbhandari, S., Ahmad, N., Wang, C., Yap, M.H. (2020) 'Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques.' Computers in Biology and Medicine, 117
Osman, F.M., Yap, M.H. (2020) 'Adjusted Quick Shift Phase Preserving Dynamic Range Compression method for breast lesions segmentation.' Informatics in Medicine Unlocked, 20
Goyal, M., Oakley, A., Bansal, P., Dancey, D., Yap, M.H. (2020) 'Skin Lesion Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods.' IEEE Access, 8pp. 4171-4181.
Hsu, G.S., Huang, W.F., Yap, M.H. (2020) 'Edge-Embedded Multi-Dropout Framework for Real-Time Face Alignment.' IEEE Access, 8pp. 6032-6044.
Gillespie, D., Yap, M.H., Hewitt, B.M., Driscoll, H., Simanaviciute, U., Hodson-Tole, E.F., Grant, R.A. (2019) 'Description and validation of the LocoWhisk system: Quantifying rodent exploratory, sensory and motor behaviours.' Journal of Neuroscience Methods, 328
Merghani, W., Davison, A.K., Yap, M.H. (2019) 'The implication of spatial temporal changes on facial micro-expression analysis.' Multimedia Tools and Applications, 78(15) pp. 21613-21628.
Goyal, M., Reeves, N., Rajbhandari, S., Yap, M.H. (2019) 'Robust Methods for Real-Time Diabetic Foot Ulcer Detection and Localization on Mobile Devices.' IEEE Journal of Biomedical and Health Informatics, 23(4) pp. 1730-1741.
Agarwal, R., Diaz, O., Lladó, X., Yap, M.H., Martí, R. (2019) 'Automatic mass detection in mammograms using deep convolutional neural networks.' Journal of Medical Imaging, 6(3)
Goyal, M., Oakley, A., Bansal, P., Dancey, D., Yap, M.H. (2019) 'Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods.'
Yap, M.H., Alarifi, J., Ng, C.C., Batool, N., Walker, K. (2019) 'Automated facial wrinkles annotator.' Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11132 LNCSpp. 676-680.
Yap, M.H., Goyal, M., Osman, F.M., Martí, R., Denton, E., Juette, A., Zwiggelaar, R. (2018) 'Breast ultrasound lesions recognition: end-to-end deep learning approaches.' Journal of Medical Imaging, 6(1) pp. 011007-011007.
Davison, A.K., Merghani, W., Yap, M.H. (2018) 'Objective classes for micro-facial expression recognition.' Journal of Imaging, 4(10)
McPhee, J.S., Cameron, J., Maden-Wilkinson, T., Piasecki, M., Yap, M.H., Jones, D.A., Degens, H. (2018) 'The contributions of fibre atrophy, fibre loss, in situ specific force and voluntary activation to weakness in sarcopenia..' Journals of Gerontology, Series A, 73(10) pp. 1287-1294.
Osman, O., Yap, M.H. (2018) 'Computational Intelligence in Automatic Face Age Estimation: A Survey.' IEEE Transactions on Emerging Topics in Computational Intelligence, 3(3) pp. 271-285.
Goyal, M., Reeves, N.D., Davison, A.K., Rajbhandari, S., Spragg, J., Yap, M.H. (2018) 'DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification.' IEEE Transactions on Emerging Topics in Computational Intelligence, 4(5) pp. 728-739.
Goyal, M., Ng, J., Yap, M.H. (2018) 'Multi-Class Lesion Diagnosis with Pixel-wise Classification Network.'
Davison, A., Merghani, W., Lansley, C., Ng, C.C., Yap, M.H. (2018) 'Objective micro-facial movement detection using FACS-Based regions and baseline evaluation.' Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018, pp. 642-649.
Kendrick, C., Tan, K., Walker, K., Yap, M.H. (2018) 'Towards real-time facial landmark detection in Depth data using auxiliary information.' Symmetry, 10(6)
Fatima, O., Yap, M.H. (2018) 'The effect of filtering algorithms for breast ultrasound lesions segmentation.' Informatics in Medicine Unlocked, 12pp. 14-20.
Merghani, W., Davison, A.K., Yap, M.H. (2018) 'A Review on Facial Micro-Expressions Analysis: Datasets, Features and Metrics.'
Leightley, D., Yap, M.H. (2018) 'Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor.' Healthcare, 6(1)
Ahmad, E., Goyal, M., McPhee, J.S., Degens, H., Yap, M.H. (2018) 'Semantic Segmentation of Human Thigh Quadriceps Muscle in Magnetic Resonance Images.'
Ng, C.C., Yap, M., Cheng, Y.T., Hsu, G.S. (2018) 'Hybrid Ageing Patterns for Face Age Estimation.' Image and Vision Computing, 69pp. 92-102.
Yap, M.H., Pons, G., Marti, J., Ganau, S., Sentis, M., Zwiggelaar, R., Davison, A.K., Marti, R. (2017) 'Automated Breast Ultrasound Lesions Detection using Convolutional Neural Networks..' IEEE Journal of Biomedical and Health Informatics, 22(4) pp. 1218-1226.
Leightley, D., Yap, M.H., Coulson, J., Piasecki, M., Cameron, J., Barnouin, Y., Tobias, J., McPhee, J.S. (2017) 'Postural Stability During Standing Balance and Sit-to-Stand in Master Athlete Runners Compared With Non-Athletic Old and Young Adults..' Journal of aging and physical activity,
Hewitt, B.M., Yap, M.H., Hodson-Tole, E.F., Kennerley, A.J., Sharp, P.S., Grant, R.A. (2017) 'A novel automated rodent tracker (ART), demonstrated in a mouse model of amyotrophic lateral sclerosis..' Journal of Neuroscience Methods, 300pp. 147-156.
Yap, M.H., Chatwin, K.E., Ng, C.C., Abbott, C.A., Bowling, F.L., Rajbhandari, S., Boulton, A.J.M., Reeves, N.D. (2017) '"FootSnap": A New Mobile Application for Standardizing Diabetic Foot Images..' Journal of Diabetes Science and Technology, 12(1) pp. 169-173.
Bosutti, A., Salanova, M., Blottner, D., Buehlmeier, J., Mulder, E., Rittweger, J., Yap, M.H., Ganse, B., Degens, H. (2016) 'Whey protein with potassium bicarbonate supplement attenuates the reduction in muscle oxidative capacity during 19 days bed rest.' Journal of Applied Physiology, 121(4) pp. 838-848.
Davison, A.K., Lansley, C., Costen, N., Tan, K., Yap, M.H. (2016) 'SAMM: A Spontaneous Micro-Facial Movement Dataset.' IEEE Transactions on Affective Computing, 9(1) pp. 116-129.
Leightley, D., Yap, M.H., McPhee, J. (2016) 'Automated Analysis and Quantification of Human Mobility using a Depth Sensor..' IEEE journal of biomedical and health informatics,
Hewitt, B., Yap, M.H., Grant, R.A. (2016) 'Manual Whisker Annotator (MWA): A Modular Open-Source Tool.' Journal of Open Research Software, 4(1)
Ballak, S.B., Busé-Pot, T., Harding, P.J., Yap, M.H., Deldicque, L., de Haan, A., Jaspers, R.T., Degens, H. (2016) 'Blunted angiogenesis and hypertrophy are associated with increased fatigue resistance and unchanged aerobic capacity in old overloaded mouse muscle..' Age (Dordr), 38
Ballak, S.B., Yap, M.H., Harding, P.J., Degens, H. (2016) 'Validation of a New Semi-Automated Technique to Evaluate Muscle Capillarization..' Advances in Experimental Medicine and Biology, 876
Yap, M.H., Ng, C.C., Chatwin, K., Abbott, C.A., Bowling, F.L., Boulton, A.J.M., Reeves, N.D. (2015) 'Computer vision algorithms in the detection of diabetic foot ulceration: a new paradigm for diabetic foot care?.' Journal of Diabetes Science and Technology, 10(2) pp. 612-613.
Sherwood, T., Ahmad, E., Yap, M.H. (2015) 'Formulating efficient software solution for digital image processing system.' Software: Practice and Experience, 46(7) pp. 931-954.
Ng, C.C., Yap, M.H., Costen, N., Li, B. (2015) 'Wrinkle Detection Using Hessian Line Tracking.' IEEE Access, 3
Ahmad, E., Yap, M.H., Degens, H., McPhee, J. (2014) 'Enhancement of MRI Human Thigh Muscles Segmentation by Template-based Framework.' IEEE Explorer,
Yap, M. (2014) 'Facial Behavioral Analysis: A Case Study in Deception Detection.' British Journal of Applied Science & Technology, 4(10) pp. 1485-1496.
Leightley, D., Li, B., McPhee, J.S., Yap, M.H., Darby, J. (2014) 'Exemplar-Based Human Action Recognition with Template Matching from a Stream of Motion Capture.' 8815
Ahmad, E., Yap, M.H., Degens, H., McPhee, J.S. (2014) 'Atlas-registration based image segmentation of MRI human thigh muscles in 3D space.' Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 9037
Leightley, D., Darby, J., Li, B., Mcphee, J.S., Yap, M.H. (2013) 'Human activity recognition for physical rehabilitation.' Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, pp. 261-266.
Yap, M.H., Ugail, H., Zwiggelaar, R. (2013) 'A database for facial behavioural analysis.' 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013,
Yap, M.H., Ugail, H., Zwiggelaar, R. (2012) 'Intensity score for facial actions detection in near-frontal-view face sequences.' 2012 International Conference on Computer and Communication Engineering, ICCCE 2012, pp. 819-824.
Han, X., Yap, M.H., Palmer, I. (2012) 'Face Recognition in the Presence of Expressions.' Journal of Software Engineering and Applications, 05(05) pp. 321-329.
Yap, M.H., Rajoub, B., Ugail, H., Zwiggelaar, R. (2011) 'Visual cues of facial behaviour in deception detection.' ICCAIE 2011 - 2011 IEEE Conference on Computer Applications and Industrial Electronics, pp. 294-299.
Yap, M.H., Ugail, H., Zwiggelaar, R., Rajoub, B. (2010) 'Facial image processing for facial analysis.' Proceedings - International Carnahan Conference on Security Technology, pp. 198-204.
Yap, M.H., Edirisinghe, E.A., Bez, H.E. (2010) 'Computer Aided Detection and Recognition of Lesions in Ultrasound Breast Images..' Int. J. Comput. Model. Algorithms Medicine, 1pp. 53-81.
Yap, M.H., Edirisinghe, E., Bez, H. (2010) 'Processed images in human perception: a case study in ultrasound breast imaging..' Eur J Radiol, 73(3) pp. 682-687.
Yap, M.H., Edirisinghe, E.A., Bez, H.E. (2009) 'A comparative study in ultrasound breast imaging classification.' Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7259
Yap, M.H., Gale, A.G. (2009) 'Individualised grid-enabled mammographic training system.' Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7264
Yap, M.H., Edirisinghe, E.A., Bez, H.E. (2008) 'A novel algorithm for initial lesion detection in ultrasound breast images..' J Appl Clin Med Phys, 9(4) pp. 181-199.
Yap, M.H., Gale, A.G. (2008) 'Grid-enabled Mammographic Auditing and Training System.' Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 6919
Yap, M.H., Edirisinghe, E.A., Bez, H.E. (2008) 'A novel algorithm for initial lesion detection in ultrasound breast images.' Journal of Applied Clinical Medical Physics, 9(4) pp. 181-199.
Yap, M.H., Edirisinghe, E.A., Bez, H.E. (2007) 'Fully automatic lesion boundary detection in ultrasound breast images.' Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 6512(PART 3)
Yap, M.H., Edirisinghe, E.A., Bez, H.E. (2006) 'Initial lesion detection in ultrasound breast images.' Proceedings of the 6th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2006, pp. 215-220.
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Non-peer reviewed articles / reviews
Boon, I.S., Teo, R.P.J., Yap, M.H., Lim, J.S., Goh, H.L., Boon, C.S., Au Yong, T.P.T. (2022) Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.
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Conference papers
See, J., Li, J., Davison, A.K., Liong, G.B., Yap, M.H., Cheng, W.H., Li, X., Hong, X., Wang, S.J. (2024) 'MEGC2024: ACM Multimedia 2024 Facial Micro-Expression Grand Challenge.' In MM '24: The 32nd ACM International Conference on Multimedia. ACM, pp. 11482-11483.
Mohd Yazed, M.S., Fadzrin Ahmad Shaubari, E., Yap, M.H. (2024) 'Implementation of YOLOv5 and Vision OCR Hybrid Model for GD&T Recognition.' 10/8/2024 - IEEE,
Mcbride, C., Cassidy, B., Kendrick, C., Reeves, N.D., Pappachan, J.M., Yap, M.H. (2024) 'Multi-Colour Space Channel Selection for Improved Chronic Wound Segmentation.'
Davison, A.K., Li, J., Yap, M., See, J., Cheng, W.H., Li, X., Hong, X., Wang, S.J. (2023) 'ACMMM Workshop FME’23 Chairs’ Welcome.'
Davison, A.K., Li, J., Yap, M.H., See, J., Cheng, W.H., Li, X., Hong, X., Wang, S.J. (2023) 'MEGC2023: ACM Multimedia 2023 ME Grand Challenge.' 29/10/2023 - 3/11/2023. Association for Computing Machinery (ACM),
Davison, A.K., Li, J., Yap, M.H., See, J., Cheng, W.H., Li, X., Hong, X., Wang, S.J. (2023) 'FME '23: 3rd Facial Micro-Expression Workshop.' pp. 9736-9738.
Eisenmann, M., Reinke, A., Weru, V., Tizabi, M.D., Isensee, F., Adler, T.J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., De Bruijne, M., Depeursinge, A., Dorent, R., Egger, J., Ellis, D.G., Engelhardt, S., Ganz, M., Ghatwary, N., Girard, G., Godau, P., Gupta, A., Hansen, L., Harada, K., Heinrich, M., Heller, N., Hering, A., Huaulmé, A., Jannin, P., Kavur, A.E., Kodym, O., Kozubek, M., Li, J., Li, H., Ma, J., Martín-Isla, C., Menze, B., Noble, A., Oreiller, V., Padoy, N., Pati, S., Payette, K., Rädsch, T., Rafael-Patiño, J., Bawa, V.S., Speidel, S., Sudre, C.H., Van Wijnen, K., Wagner, M., Wei, D., Yamlahi, A., Yap, M.H., Yuan, C., Zenk, M., Zia, A., Zimmerer, D., Aydogan, D., Bhattarai, B., Bloch, L., Brüngel, R., Cho, J., Choi, C., Dou, Q., Ezhov, I., Friedrich, C.M., Fuller, C., Gaire, R.R., Galdran, A., García Faura, A., Grammatikopoulou, M., Hong, S., Jahanifar, M., Jang, I., Kadkhodamohammadi, A., Kang, I., Kofler, F., Kondo, S., Kuijf, H., Li, M., Luu, M., Martinčič, T., Morais, P., Naser, M.A., Oliveira, B., Owen, D., Pang, S., Park, J., Park, S., Płotka, S., Puybareau, E., Rajpoot, N., Ryu, K., Saeed, N. (2023) 'Why is the winner the best?.' 17/6/2023 - 24/6/2023. IEEE, pp. 19955-19966.
Li, J., Yap, M.H., Cheng, W.H., See, J., Hong, X., Li, X., Wang, S.J. (2022) 'ACMMM Workshop FME'22 Chairs' Welcome.'
Yap, C.H., Yap, M.H., Davison, A., Kendrick, C., Li, J., Wang, S.J., Cunningham, R. (2022) '3D-CNN for facial micro- and macro-expression spotting on long video sequences using temporal oriented reference frame.' In MM '22: The 30th ACM International Conference on Multimedia. Lisboa, Portugal, 10/10/2022 - 14/10/2022. New York: Association of Computing Machinery (ACM), pp. 7016-7020.
Li, J., Yap, M.H., Cheng, W.H., See, J., Hong, X., Li, X., Wang, S.J., Davison, A.K., Li, Y., Dong, Z. (2022) 'MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge.' pp. 7170-7174.
Li, J., Yap, M.H., Cheng, W.H., See, J., Hong, X., Li, X., Wang, S.J. (2022) 'FME 22: 2ndWorkshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis.' pp. 7397-7399.
Pewton, S.W., Yap, M.H. (2022) 'Dark Corner on Skin Lesion Image Dataset: does it matter?.' 19/6/2022 - 20/6/2022. IEEE, pp. 4830-4838.
Yap, M.H., Kendrick, C., Reeves, N.D., Goyal, M., Pappachan, J.M., Cassidy, B. (2022) 'Development of Diabetic Foot Ulcer Datasets: An Overview.' 13183 LNCS. pp. 1-18.
Cassidy, B., Kendrick, C., Reeves, N.D., Pappachan, J.M., O’Shea, C., Armstrong, D.G., Yap, M.H. (2022) 'Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary.' 13183 LNCS. pp. 90-105.
Yao, X., Yap, M.H., Zhang, Y. (2022) 'Towards a Deep Learning Approach for Automatic GUI Layout Generation.' 394. pp. 19-27.
Cheng, W.H., Li, J., Yap, M.H., Wang, S.J., See, J., Hong, X., Li, X. (2021) 'FME'21 Chairs' Welcome.'
Li, J., Yap, M.H., Cheng, W.H., See, J., Hong, X., Li, X., Wang, S.J. (2021) 'FME'21: 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting.' pp. 5700-5701.
Yap, M.H., Cassidy, B., Pappachan, J.M., O'Shea, C., Gillespie, D., Reeves, N.D. (2021) 'Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers.' In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). 27/7/2021 - 30/7/2021. IEEE,
Jam, J., Kendrick, C., Drouard, V., Walker, K., Hsu, G.S., Yap, M.H. (2021) 'R-MNet: A perceptual adversarial network for image inpainting.' pp. 2713-2722.
Durall, R., Jam, J., Strassel, D., Yap, M.H., Keuper, J. (2021) 'FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces.'
Jam, J., Kendrick, C., Drouard, V., Walker, K., Hsu, G.S., Yap, M.H. (2021) 'Symmetric skip connection wasserstein GAN for High-resolution facial image inpainting.' In 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 4. pp. 35-44.
He, Y., Wang, S.J., Li, J., Yap, M.H. (2020) 'Spotting Macro-and Micro-expression Intervals in Long Video Sequences.' In 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. pp. 742-748.
Merghani, W., Yap, M.H. (2020) 'Adaptive Mask for Region-based Facial Micro-Expression Recognition.' In 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. pp. 765-770.
Li, J., Wang, S.J., Yap, M.H., See, J., Hong, X., Li, X. (2020) 'MEGC2020-The Third Facial Micro-Expression Grand Challenge.' In 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. pp. 777-780.
Yap, C.H., Kendrick, C., Yap, M.H. (2020) 'SAMM Long Videos: A Spontaneous Facial Micro-and Macro-Expressions Dataset.' In 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. pp. 771-776.
Hsu, G.S.J., Wu, H.Y., Yap, M.H. (2020) 'A comprehensive study on loss functions for cross-factor face recognition.' In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2020-June. pp. 3604-3611.
Goyal, M., Yap, M.H., Hassanpour, S. (2020) 'Multi-class semantic segmentation of skin lesions via fully convolutional networks.' In BIOINFORMATICS 2020 - 11th International Conference on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020. pp. 290-294.
Yao, X., Yap, M.H., Zhang, Y. (2019) 'An Empirical Study to Evaluate Structural Similarity for Source Code Translation.' In 2019 4th Technology Innovation Management and Engineering Science International Conference.
Tang, C.H., Hsu, G.S.J., Hoon Yap, M. (2019) 'Face Recognition with Disentangled Facial Representation Learning and Data Augmentation.' In International Conference on Image Processing, ICIP. 2019-September. pp. 1670-1674.
Alarifi, J., Fry, J., Dancey, D., Yap, M.H. (2019) 'Understanding face age estimation: Humans and machine.' In 2019 International Conference on Computer, Information and Telecommunication Systems.
Hsu, G.S.J., Tang, C.H., Yap, M.H. (2019) 'Face synthesis and recognition using disentangled representation-learning wasserstein gan.' In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2019-June. pp. 2371-2379.
See, J., Yap, M.H., Li, J., Hong, X., Wang, S.J. (2019) 'MEGC 2019 - The second facial micro-expressions grand challenge.' In 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019.
Li, J., Soladié, C., Séguier, R., Wang, S.J., Yap, M.H. (2019) 'Spotting micro-expressions on long videos sequences.' In 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019. 1/5/2019.
Goyal, M., Ng, J., Oakley, A., Yap, M.H. (2019) 'Skin lesion boundary segmentation with fully automated deep extreme cut methods.' In Progress in Biomedical Optics and Imaging. 10953.
Ng, J.H., Goyal, M., Hewitt, B., Yap, M.H. (2019) 'The effect of color constancy algorithms on semantic segmentation of skin lesions.' In Progress in Biomedical Optics and Imaging. 10953. SPIE,
Ascenso, G., Payton, C., Allen, T., Yap, M. (2018) 'Non-invasive motion capture of swimmers.' In Measuring Behavior 12th International Conference on Methods and Techniques in Behavioural Research. Manchester, 6/6/2018 - 8/6/2018.
Merghani, W., Davison, A., Yap, M. (2018) 'Facial micro-expressions grand challenge 2018: Evaluating spatio-temporal features for classification of objective classes.' pp. 662-666.
Yap, M.H., See, J., Hong, X., Wang, S.J. (2018) 'Facial micro-expressions grand challenge 2018 summary.' pp. 675-678.
Ahmad, E., McPhee, J.S., Degens, H., Yap, M.H. (2018) 'Automatic segmentation of MRI human thigh muscles: Combination of reliable and fast framework methods for quadriceps, femur and marrow segmentation.' pp. 31-38.
Yap, M.H., Goyal, M., Osman, F., Ahmad, E., Martí, R., Denton, E., Juette, A., Zwiggelaar, R. (2018) 'End-to-end breast ultrasound lesions recognition with a deep learning approach.' 10578.
Kendrick, C., Tan, K., Walker, K., Yap, M.H. (2018) 'The application of neural networks for facial landmarking on mobile devices.' 4. pp. 189-197.
Baharum, A.N., Yap, M.H., Ferris, G., Ahmad Fadzrin, E., Degens, H. (2018) 'Capillary detection in transverse muscle sections.' 10578.
Osman, O.F., Elbashir, R.M.I., Abbass, I.E., Kendrick, C., Goyal, M., Yap, M.H. (2017) 'Automated Assessment of Facial Wrinkling: a case study on the effect of smoking.' IEEE,
Maudsley-Barton, S., McPheey, J., Bukowski, A., Leightley, D., Yap, M.H. (2017) 'A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data.' In IEEE International Conference on Systems, Man, and Cybernetics (SMC). Banff, AB, Canada, 5/10/2017 - 8/10/2017. IEEE,
Goyal, M., Yap, M.H., Reeves, N.D., Rajbhandari, S., Spragg, J. (2017) 'Fully convolutional networks for diabetic foot ulcer segmentation.' In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Banff, AB, Canada, 5/10/2017 - 8/10/2017. IEEE, pp. 618-623.
Hsu, G.S.J., Cheng, Y.T., Ng, C.C., Yap, M.H. (2017) 'Component Biologically Inspired Features with Moving Segmentation for Age Estimation.' pp. 540-547.
Leightley, D., Mukhopadhyay, S.C., Ghayvat, H., Yap, M.H. (2017) 'Deep convolutional neural networks for motion instability identification using kinect.' pp. 310-313.
Ng, C.C., Cheng, Y.T., Hsu, G.S., Yap, M.H. (2017) 'Multi-layer age regression for face age estimation.' pp. 294-297.
Kendrick, C., Tan, K., Williams, T., Yap, M.H. (2017) 'An Online Tool for the Annotation of 3D Models.' pp. 362-369.
Alarifi, J.S., Goyal, M., Davison, A.K., Dancey, D., Khan, R., Yap, M.H. (2017) 'Facial skin classification using convolutional neural networks.' pp. 479-485.
Pandya, S., Shah, J., Joshi, N., Ghayvat, H., Yap, M.H. (2016) 'A novel hybrid based recommendation system based on clustering and association mining.' In Sensing Technology (ICST), 2016 10th International Conference on.
Ghayvat, H., Pandya, S., Shah, S., Mukhopadhyay, S.C., Yap, M.H., Wandra, K.H. (2016) 'Advanced AODV approach for efficient detection and mitigation of wormhole attack in MANET.' 11/11/2016 - 13/11/2016. IEEE,
Yap, M.H., Yap, C.H. (2016) 'Breast ultrasound lesions classification: a performance evaluation between manual delineation and computer segmentation.' In SPIE Medical Imaging. 978718-978718-6. San Diego, US,
Leightley, D., Yap, M.H., Coulson, J., Barnouin, Y., McPhee, J.S. (2016) 'Benchmarking human motion analysis using kinect one: An open source dataset.' pp. 1-7.
Brynielsson, J., Yap, M.H. (2016) 'Message from the Program Chairs.'
Ng, C.C., Yap, M.H., Costen, N., Li, B. (2016) 'Will Wrinkle Estimate the Face Age?.' pp. 2418-2423.
Davison, A.K., Yap, M.H., Lansley, C. (2016) 'Micro-Facial Movement Detection Using Individualised Baselines and Histogram-Based Descriptors.' pp. 1864-1869.
Davison, A.K., Yap, M.H., Costen, N., Tan, K., Lansley, C., Leightley, D. (2015) 'Micro-Facial Movements: An Investigation on Spatio-Temporal Descriptors.' 8926. Springer International Publishing,
Ng, C.C., Yap, M.H., Costen, N., Li, B. (2015) 'Automatic Wrinkle Detection Using Hybrid Hessian Filter.' 9005. Springer International Publishing,
Cassidy, B., Stringer, G., Yap, M.H. (2014) 'Mobile framework for cognitive assessment: Trail making test and reaction time test.' pp. 700-705.
Ng, C.C., Yap, M.H., Costen, N., Li, B. (2014) 'An investigation on local wrinkle-based extractor of age estimation.' 1. IEEE,
Yap, M.H., Ugail, H., Zwiggelaar, R., Rajoub, B.A., Doherty, V., Appleyard, S., Hurdy, G. (2009) 'A Short Review of Methods for Face Detection and Multifractal Analysis..' Ugail, H., Qahwaji, R., Earnshaw, R.A., Willis, P.J. (ed.) IEEE Computer Society, pp. 231-236.
Simpson, A., Slaymaker, M., Power, D.J., Russell, D., Yap, M.H., Gale, A.G. (2009) 'On the utilisation of a service-oriented infrastructure to support radiologist training..' IEEE Computer Society, pp. 1-4.
Simpson, A., Slaymaker, M., Power, D., Russell, D., Yap, M.H., Gale, A. (2009) 'On the utilisation of a service-oriented infrastructure to support radiologist training.' In 22nd IEEE International Symposium on Computer-Based Medical Systems. Albuquerque, NM, 3/8/2009 - 4/8/2009. IEEE, pp. 9-+.
Yap, M.H., Gale, A.G., Scott, H.J. (2008) 'Generic Infrastructure for Medical Informatics (GIMI): The Development of a Mammographic Training System..' 5116. Krupinski, E.A. (ed.) Springer, pp. 577-584.
Yap, M.H., Edirisinghe, E.A., Bez, H.E. (2006) 'Object Boundary Detection in Ultrasound Images..' IEEE Computer Society, pp. 53-53.
Yap, M.H., Bister, M., Ewe, H.T. (2003) 'Gaussian Blurring-Deblurring for Improved Image Compression..' Sun, C., Talbot, H., Ourselin, S., Adriaansen, T. (ed.) CSIRO Publishing, pp. 165-174.