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2020 – today
- 2024
[j34]Samuel William Pewton, Bill Cassidy
, Connah Kendrick, Moi Hoon Yap:
Dermoscopic dark corner artifacts removal: Friend or foe? Comput. Methods Programs Biomed. 244: 107986 (2024)- [j33]Moi Hoon Yap, Bill Cassidy, Michal Byra, Ting-Yu Liao, Huahui Yi, Adrian Galdran, Yung-Han Chen, Raphael Brüngel, Sven Koitka, Christoph M. Friedrich, Yu-Wen Lo, Ching-Hui Yang, Kang Li, Qicheng Lao, Miguel Ángel González Ballester, Gustavo Carneiro, Yi-Jen Ju, Juinn-Dar Huang, Joseph M. Pappachan, Neil D. Reeves, Vishnu Chandrabalan, Darren Dancey, Connah Kendrick:
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. 94: 103153 (2024) - [j32]Sean Maudsley-Barton, Moi Hoon Yap:
Objective Falls Risk Assessment Using Markerless Motion Capture and Representational Machine Learning. Sensors 24(14): 4593 (2024) - [c71]Wei-Chun Hsieh, Gee-Sern Hsu, Jun-Yi Chen, Moi Hoon Yap, Zi-Chun Chao:
Contour-Guided Context Learning for Scene Text Recognition. ICPR (20) 2024: 103-117 - [c70]Christian McBride, Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Moi Hoon Yap:
Multi-Colour Space Channel Selection for Improved Chronic Wound Segmentation. ISBI 2024: 1-5 - [c69]Njideka Chiamaka Okafor, Bill Cassidy, Claire O'Shea, Joseph M. Pappachan, Moi Hoon Yap:
The Effect of Image Preprocessing Algorithms on Diabetic Foot Ulcer Classification. MIUA (2) 2024: 336-352 - [c68]John See, Jingting Li, Adrian K. Davison, Gen-Bing Liong, Moi Hoon Yap, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang:
MEGC2024: ACM Multimedia 2024 Facial Micro-Expression Grand Challenge. ACM Multimedia 2024: 11482-11483 - [e8]Moi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar:
Medical Image Understanding and Analysis - 28th Annual Conference, MIUA 2024, Manchester, UK, July 24-26, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14859, Springer 2024, ISBN 978-3-031-66954-5 [contents] - [e7]Moi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar:
Medical Image Understanding and Analysis - 28th Annual Conference, MIUA 2024, Manchester, UK, July 24-26, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14860, Springer 2024, ISBN 978-3-031-66957-6 [contents] - [i36]Bill Cassidy, Christian McBride, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Cornelius J. Fernandez, Elias Chacko, Raphael Brüngel, Christoph M. Friedrich, Metib Alotaibi, Abdullah Abdulaziz AlWabel, Mohammad Alderwish, Kuan-Ying Lai, Moi Hoon Yap:
An Enhanced Harmonic Densely Connected Hybrid Transformer Network Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space Tensor Merging. CoRR abs/2410.03359 (2024) - 2023
- [j31]Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang:
Editorial for pattern recognition letters special issue on face-based emotion understanding. Pattern Recognit. Lett. 168: 8-9 (2023) - [j30]Gongping Chen, Lei Li, Yu Dai, Jianxun Zhang, Moi Hoon Yap:
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images. IEEE Trans. Medical Imaging 42(5): 1289-1300 (2023) - [c67]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c66]Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang:
MEGC2023: ACM Multimedia 2023 ME Grand Challenge. ACM Multimedia 2023: 9625-9629 - [c65]Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang:
FME '23: 3rd Facial Micro-Expression Workshop. ACM Multimedia 2023: 9736-9738 - [e6]Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang:
Proceedings of the 3rd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis, FME 2023, Ottawa, ON, Canada, 29 October 2023. ACM 2023 [contents] - [e5]Moi Hoon Yap, Connah Kendrick, Bill Cassidy:
Diabetic Foot Ulcers Grand Challenge - Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13797, Springer 2023, ISBN 978-3-031-26353-8 [contents] - [i35]Connah Kendrick, Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Vishnu Chandrabalan, Moi Hoon Yap:
Diabetic Foot Ulcer Grand Challenge 2022 Summary. CoRR abs/2304.12001 (2023) - [i34]Imran Chowdhury Dipto, Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Vishnu Chandrabalan, Moi Hoon Yap:
Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification. CoRR abs/2304.12987 (2023) - [i33]Samuel William Pewton, Bill Cassidy, Connah Kendrick, Moi Hoon Yap:
Dermoscopic Dark Corner Artifacts Removal: Friend or Foe? CoRR abs/2306.13446 (2023) - 2022
- [j29]Nora Al-Garaawi, Raja Ebsim, Abbas F. H. Alharan, Moi Hoon Yap:
Diabetic foot ulcer classification using mapped binary patterns and convolutional neural networks. Comput. Biol. Medicine 140: 105055 (2022) - [j28]Bill Cassidy, Connah Kendrick, Andrzej Brodzicki, Joanna Jaworek-Korjakowska, Moi Hoon Yap:
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations. Medical Image Anal. 75: 102305 (2022) - [j27]Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Naseer Ahmad, Samantha Haycocks, David Gillespie, Moi Hoon Yap:
A Cloud-Based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers. IEEE Pervasive Comput. 21(2): 78-86 (2022) - [c64]Samuel William Pewton, Moi Hoon Yap:
Dark Corner on Skin Lesion Image Dataset: Does it matter? CVPR Workshops 2022: 4830-4838 - [c63]Joanna Jaworek-Korjakowska, Anna Wójcicka, Dariusz Kucharski, Andrzej Brodzicki, Connah Kendrick, Bill Cassidy, Moi Hoon Yap:
Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images. ECCV Workshops (4) 2022: 167-184 - [c62]Imran Chowdhury Dipto, Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Vishnu Chandrabalan, Moi Hoon Yap:
Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification. DFUC@MICCAI 2022: 1-18 - [c61]Connah Kendrick, Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Vishnu Chandrabalan, Moi Hoon Yap:
Diabetic Foot Ulcer Grand Challenge 2022 Summary. DFUC@MICCAI 2022: 115-123 - [c60]Manu Goyal, Neil D. Reeves, Satyan Rajbhandari, Moi Hoon Yap:
Computerised Methods for Monitoring Diabetic Foot Ulcers on Plantar Foot: A Feasibility Study. MIUA 2022: 199-211 - [c59]Chuin Hong Yap, Moi Hoon Yap, Adrian K. Davison, Connah Kendrick, Jingting Li, Su-Jing Wang, Ryan Cunningham:
3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame. ACM Multimedia 2022: 7016-7020 - [c58]Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang, Adrian K. Davison, Yante Li, Zizhao Dong:
MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge. ACM Multimedia 2022: 7170-7174 - [c57]Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang:
FME '22: 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis. ACM Multimedia 2022: 7397-7399 - [e4]Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang:
Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis, FME 2022, Lisboa, Portugal, 14 October 2022. ACM 2022, ISBN 978-1-4503-9495-6 [contents] - [e3]Moi Hoon Yap, Bill Cassidy, Connah Kendrick:
Diabetic Foot Ulcers Grand Challenge - Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 13183, Springer 2022, ISBN 978-3-030-94906-8 [contents] - [i32]Moi Hoon Yap, Connah Kendrick, Neil D. Reeves, Manu Goyal, Joseph M. Pappachan, Bill Cassidy:
Development of Diabetic Foot Ulcer Datasets: An Overview. CoRR abs/2201.00163 (2022) - [i31]Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap:
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network. CoRR abs/2201.00323 (2022) - [i30]Connah Kendrick, Bill Cassidy, Joseph M. Pappachan, Claire O'Shea, Cornelious J. Fernandez, Elias Chacko, Koshy Jacob, Neil D. Reeves, Moi Hoon Yap:
Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation. CoRR abs/2204.11618 (2022) - [i29]Gongping Chen, Yu Dai, Jianxun Zhang, Moi Hoon Yap:
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images. CoRR abs/2204.12077 (2022) - 2021
- [j26]Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Eibe Frank:
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Comput. Biol. Medicine 135: 104596 (2021) - [j25]Jireh Jam, Connah Kendrick, Kevin Walker, Vincent Drouard, Gee-Sern Jison Hsu, Moi Hoon Yap:
A comprehensive review of past and present image inpainting methods. Comput. Vis. Image Underst. 203: 103147 (2021) - [j24]John M. Henry, Stephen Tang, Subhas Mukhopadhyay, Moi Hoon Yap:
A randomised control trial for measuring student engagement through the Internet of Things and serious games. Internet Things 13: 100332 (2021) - [j23]Chuin Hong Yap, Ryan Cunningham, Adrian K. Davison, Moi Hoon Yap:
Synthesising Facial Macro- and Micro-Expressions Using Reference Guided Style Transfer. J. Imaging 7(8): 142 (2021) - [j22]Moi Hoon Yap, Nazre Batool, Choon-Ching Ng, Mike Rogers, Kevin Walker:
A Survey on Facial Wrinkles Detection and Inpainting: Datasets, Methods, and Challenges. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 505-519 (2021) - [c56]Moi Hoon Yap, Bill Cassidy, Joseph M. Pappachan, Claire O'Shea, David Gillespie, Neil D. Reeves:
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers. BHI 2021: 1-4 - [c55]Ricard Durall Lopez, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper:
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. BMVC 2021: 246 - [c54]Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap:
Foreground-Guided Facial Inpainting with Fidelity Preservation. CAIP (2) 2021: 231-241 - [c53]Moi Hoon Yap, Connah Kendrick, Neil D. Reeves, Manu Goyal, Joseph M. Pappachan, Bill Cassidy:
Development of Diabetic Foot Ulcer Datasets: An Overview. DFUC@MICCAI 2021: 1-18 - [c52]Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, David G. Armstrong, Moi Hoon Yap:
Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary. DFUC@MICCAI 2021: 90-105 - [c51]Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang:
FME'21: 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting. ACM Multimedia 2021: 5700-5701 - [c50]Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap:
Symmetric Skip Connection Wasserstein GAN for High-resolution Facial Image Inpainting. VISIGRAPP (4: VISAPP) 2021: 35-44 - [c49]Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap:
R-MNet: A Perceptual Adversarial Network for Image Inpainting. WACV 2021: 2713-2722 - [e2]Wen-Huang Cheng, Jingting Li, Moi Hoon Yap:
FME'21: Proceedings of the 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting, Virtual Event, China, 24 October 2021. ACM 2021, ISBN 978-1-4503-8683-8 [contents] - [i28]Moi Hoon Yap, Bill Cassidy, Joseph M. Pappachan, Claire O'Shea, David Gillespie, Neil D. Reeves:
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers. CoRR abs/2104.03068 (2021) - [i27]Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap:
Foreground-guided Facial Inpainting with Fidelity Preservation. CoRR abs/2105.03342 (2021) - [i26]Chuin Hong Yap, Moi Hoon Yap, Adrian K. Davison, Ryan Cunningham:
Efficient Lightweight 3D-CNN using Frame Skipping and Contrast Enhancement for Facial Macro- and Micro-expression Spotting. CoRR abs/2105.06340 (2021) - [i25]Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Naseer Ahmad, Samantha Haycocks, David Gillespie, Moi Hoon Yap:
A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers. CoRR abs/2105.07763 (2021) - [i24]Ricard Durall, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper:
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. CoRR abs/2110.09425 (2021) - [i23]Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, David G. Armstrong, Moi Hoon Yap:
Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary. CoRR abs/2111.10376 (2021) - 2020
- [j21]Manu Goyal, Amanda Oakley, Priyanka Bansal, Darren Dancey, Moi Hoon Yap:
Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods. IEEE Access 8: 4171-4181 (2020) - [j20]Gee-Sern Hsu, Wen-Fong Huang, Moi Hoon Yap:
Edge-Embedded Multi-Dropout Framework for Real-Time Face Alignment. IEEE Access 8: 6032-6044 (2020) - [j19]Guido Ascenso, Moi Hoon Yap, Thomas Bruce Allen, Simon S. Choppin, Carl Payton:
FISHnet: Learning to Segment the Silhouettes of Swimmers. IEEE Access 8: 178311-178321 (2020) - [j18]Moi Hoon Yap, Manu Goyal, Fatima Osman, Robert Martí, Erika R. E. Denton, Arne Juette, Reyer Zwiggelaar:
Breast ultrasound region of interest detection and lesion localisation. Artif. Intell. Medicine 107: 101880 (2020) - [j17]Manu Goyal, Neil D. Reeves, Satyan Rajbhandari, Naseer Ahmad, Chuan Wang, Moi Hoon Yap:
Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques. Comput. Biol. Medicine 117: 103616 (2020) - [j16]Richa Agarwal, Oliver Díaz, Moi Hoon Yap, Xavier Lladó, Robert Martí:
Deep learning for mass detection in Full Field Digital Mammograms. Comput. Biol. Medicine 121: 103774 (2020) - [j15]Guido Ascenso, Moi Hoon Yap, Thomas Bruce Allen, Simon S. Choppin, Carl Payton:
A review of silhouette extraction algorithms for use within visual hull pipelines. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(6): 649-670 (2020) - [j14]Remah Mutasim Ibrahim Elbashir, Moi Hoon Yap:
Evaluation of Automatic Facial Wrinkle Detection Algorithms. J. Imaging 6(4): 17 (2020) - [j13]Manu Goyal, Neil D. Reeves, Adrian K. Davison, Satyan Rajbhandari, Jennifer Spragg, Moi Hoon Yap:
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification. IEEE Trans. Emerg. Top. Comput. Intell. 4(5): 728-739 (2020) - [c48]Manu Goyal, Moi Hoon Yap, Saeed Hassanpour:
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks. BIOINFORMATICS 2020: 290-295 - [c47]Gee-Sern Jison Hsu, Hung-Yi Wu, Moi Hoon Yap:
A Comprehensive Study on Loss Functions for Cross-Factor Face Recognition. CVPR Workshops 2020: 3604-3611 - [c46]Ying He, Su-Jing Wang, Jingting Li, Moi Hoon Yap:
Spotting Macro-and Micro-expression Intervals in Long Video Sequences. FG 2020: 742-748 - [c45]Walied Merghani, Moi Hoon Yap:
Adaptive Mask for Region-based Facial Micro-Expression Recognition. FG 2020: 765-770 - [c44]Chuin Hong Yap, Connah Kendrick, Moi Hoon Yap:
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset. FG 2020: 771-776 - [c43]Jingting Li, Su-Jing Wang, Moi Hoon Yap, John See, Xiaopeng Hong, Xiaobai Li:
MEGC2020 - The Third Facial Micro-Expression Grand Challenge. FG 2020: 777-780 - [i22]Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap:
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting. CoRR abs/2001.03725 (2020) - [i21]Connah Kendrick, David Gillespie, Moi Hoon Yap:
Anysize GAN: A solution to the image-warping problem. CoRR abs/2003.03233 (2020) - [i20]Bill Cassidy, Neil D. Reeves, Joseph Pappachan, David Gillespie, Claire O'Shea, Satyan Rajbhandari, Arun G. Maiya, Eibe Frank, Andrew Boulton, David G. Armstrong, Bijan Najafi, Justina Wu, Moi Hoon Yap:
DFUC2020: Analysis Towards Diabetic Foot Ulcer Detection. CoRR abs/2004.11853 (2020) - [i19]Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap:
R-MNet: A Perceptual Adversarial Network for Image Inpainting. CoRR abs/2008.04621 (2020) - [i18]Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank:
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation. CoRR abs/2010.03341 (2020) - [i17]David Gillespie, Connah Kendrick, Ian Boon, Cheng Boon, Tim Rattay, Moi Hoon Yap:
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective. CoRR abs/2011.07795 (2020)
2010 – 2019
- 2019
- [j12]Walied Merghani, Adrian K. Davison, Moi Hoon Yap:
The implication of spatial temporal changes on facial micro-expression analysis. Multim. Tools Appl. 78(15): 21613-21628 (2019) - [j11]Omaima FathElrahman Osman, Moi Hoon Yap:
Computational Intelligence in Automatic Face Age Estimation: A Survey. IEEE Trans. Emerg. Top. Comput. Intell. 3(3): 271-285 (2019) - [j10]Manu Goyal, Neil D. Reeves, Satyan Rajbhandari, Moi Hoon Yap:
Robust Methods for Real-Time Diabetic Foot Ulcer Detection and Localization on Mobile Devices. IEEE J. Biomed. Health Informatics 23(4): 1730-1741 (2019) - [c42]Jhan S. Alarifi, John Fry, Darren Dancey, Moi Hoon Yap:
Understanding Face Age Estimation: humans and machine. CITS 2019: 1-5 - [c41]Gee-Sern Jison Hsu, Chia-Hao Tang, Moi Hoon Yap:
Face Synthesis and Recognition Using Disentangled Representation-Learning Wasserstein GAN. CVPR Workshops 2019: 2371-2379 - [c40]Jingting Li, Catherine Soladié, Renaud Séguier, Su-Jing Wang, Moi Hoon Yap:
Spotting Micro-Expressions on Long Videos Sequences. FG 2019: 1-5 - [c39]John See, Moi Hoon Yap, Jingting Li, Xiaopeng Hong, Su-Jing Wang:
MEGC 2019 - The Second Facial Micro-Expressions Grand Challenge. FG 2019: 1-5 - [c38]Chia-Hao Tang, Gee-Sern Jison Hsu, Moi Hoon Yap:
Face Recognition with Disentangled Facial Representation Learning and Data Augmentation. ICIP 2019: 1670-1674 - [c37]Manu Goyal, Jiahua Ng, Amanda Oakley, Moi Hoon Yap:
Skin lesion boundary segmentation with fully automated deep extreme cut methods. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530Q - [c36]Jiahua Ng, Manu Goyal, Brett Hewitt, Moi Hoon Yap:
The effect of color constancy algorithms on semantic segmentation of skin lesions. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530R - [i16]Manu Goyal, Moi Hoon Yap:
Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods. CoRR abs/1902.00809 (2019) - [i15]Manu Goyal, Neil D. Reeves, Satyan Rajbhandari, Naseer Ahmad, Chuan Wang, Moi Hoon Yap:
Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques. CoRR abs/1908.05317 (2019) - [i14]Chuin Hong Yap, Connah Kendrick, Moi Hoon Yap:
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset. CoRR abs/1911.01519 (2019) - [i13]Ying He, Su-Jing Wang, Jingting Li, Moi Hoon Yap:
Spotting Macro- and Micro-expression Intervals in Long Video Sequences. CoRR abs/1912.11985 (2019) - 2018
- [j9]Choon-Ching Ng, Moi Hoon Yap, Yi-Tseng Cheng, Gee-Sern Hsu:
Hybrid Ageing Patterns for face age estimation. Image Vis. Comput. 69: 92-102 (2018) - [j8]Adrian K. Davison, Walied Merghani, Moi Hoon Yap:
Objective Classes for Micro-Facial Expression Recognition. J. Imaging 4(10): 119 (2018) - [j7]Connah Kendrick, Kevin Tan, Kevin Walker, Moi Hoon Yap:
Towards Real-Time Facial Landmark Detection in Depth Data Using Auxiliary Information. Symmetry 10(6): 230 (2018) - [j6]Adrian K. Davison, Cliff Lansley, Nicholas Costen, Kevin Tan, Moi Hoon Yap:
SAMM: A Spontaneous Micro-Facial Movement Dataset. IEEE Trans. Affect. Comput. 9(1): 116-129 (2018) - [j5]Moi Hoon Yap, Gerard Pons, Joan Martí, Sergi Ganau, Melcior Sentís, Reyer Zwiggelaar, Adrian K. Davison, Robert Marti:
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 22(4): 1218-1226 (2018) - [c35]Moi Hoon Yap, Jhan S. Alarifi, Choon-Ching Ng, Nazre Batool, Kevin Walker:
Automated Facial Wrinkles Annotator. ECCV Workshops (4) 2018: 676-680 - [c34]Adrian K. Davison, Walied Merghani, Cliff Lansley, Choon-Ching Ng, Moi Hoon Yap:
Objective Micro-Facial Movement Detection Using FACS-Based Regions and Baseline Evaluation. FG 2018: 642-649 - [c33]Walied Merghani, Adrian K. Davison, Moi Hoon Yap:
Facial Micro-Expressions Grand Challenge 2018: Evaluating Spatio-Temporal Features for Classification of Objective Classes. FG 2018: 662-666 - [c32]Moi Hoon Yap, John See, Xiaopeng Hong, Su-Jing Wang:
Facial Micro-Expressions Grand Challenge 2018 Summary. FG 2018: 675-678 - [c31]Ezak Ahmad, Jamie S. McPhee, Hans Degens, Moi Hoon Yap:
Automatic Segmentation of MRI Human Thigh Muscles: Combination of Reliable and Fast Framework Methods for Quadriceps, Femur and Marrow Segmentation. ICBET 2018: 31-38 - [c30]Ahmad Nadim Baharum, Moi Hoon Yap, Glenn Ferris, Ezak Ahmad Fadzrin, Hans Degens:
Capillary detection in transverse muscle sections. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781X - [c29]Moi Hoon Yap, Manu Goyal, Fatima Osman, Ezak Ahmad, Robert Martí, Erika R. E. Denton, Arne Juette, Reyer Zwiggelaar:
End-to-end breast ultrasound lesions recognition with a deep learning approach. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057819 - [c28]