Computer Vision and Pattern Discovery for Bioimages Group @ BII

  1. Kok Haur ONG, Laurent Gole, Longjie LI, Xinmi HUO, Kah Weng LAU, David M. YOUNG, Susan Swee Shan HUE, Char Loo TAN, Gabriel Pik Liang MARINI, Hao HAN, Malay SINGH, Haoda LU, Soo Yong TAN*, Weimiao YU*.
    Digital pathology annotation & image quality assessment platform for developing and training various AI cancer models and realizing the intelligent clinical assessment.
    Poster presentation at HPCAsia2023: International Conference on High Performance Computing in Asia Pacific Region. February 2023.

  2. Nicholas Cheng, Eddy W. P. Tan, Shuang Leng, Lohendran Baskaran, Lynette Teo, Min Sen Yew, Malay Singh, Weimin Huang, Mark Yan-Yee Chan, Kee Yuan Ngiam, Roger Vaughan, Terrance Chua, Swee Yaw Tan, Hwee Kuan Lee, Liang Zhong.
    Machine Learning Accurately Quantifies Epicardial Adipose Tissue from non-contrast CT images in Coronary Artery Disease.
    Poster presentation at ESC Asia 2022 with APSC & AFC Conference by European Society of Cardiology. Singapore. December 2022.

  3. Malay Singh, Laurent Gole, Kok Haur Ong, Longjie Li, Xinmi Huo, Hao Han, Kah Weng Lau, Li Mei Gan, Char Loo Tan, David M Young, Hwee Kuan Lee, Susan Swee Shan Hue, Weimiao Yu, and Soo Yong Tan.
    Highly multiplexed immuno-fluorescence images data analysis for prostate cancer.
    Poster at Frontiers in Cancer Science (2021).

  4. Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung
    A Fully Automated Pipeline for Human Epidermal Growth Factor Receptor 2 Expression Prediction in Invasive Breast Cancer
    J Pathol Inform 2020;11:30
    (ECDP2020 - Abstract)

  5. Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, Nengli Lim
    Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders
    ECCV (2020)

  6. Davide Coppola, Hwee Kuan Lee, Cuntai Guan
    Interpreting Mechanisms of Prediction for Skin Cancer Diagnosis Using Multi-Task Learning
    CVPR workshop (2020)

  7. Connie (Khor Li) Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang.
    Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier
    ICLR2020

  8. Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung
    Weakly Supervised Clustering by Exploiting Unique Class Count
    ICLR2020

  9. Phuc Cuong Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee
    Fence GAN: Towards Better Anomaly Detection.
    International Conference on Tools with Artificial Intelligence (ICTAI) 2019.

  10. Farhan Akram, Vivek Kumar Singh, Md. Mostafa Kamal Sarker, Miguel Angel García, Domenec Puig
    Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images
    21st International Conference of the Catalan Association for Artificial Intelligence (CCIA 2018)

  11. Vivek Kumar Singh, Hatem Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostaf Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romani, Domenec Puig
    Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network
    21st International Conference of the Catalan Association for Artificial Intelligence (CCIA 2018)

  12. Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena
    Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks
    arXiv:1809.01687

  13. Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh,Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, Domenec Puig
    SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2018)

  14. Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Saddam Abdulwahab, Jordina Torrents-Barrena, Adel Saleh, Miguel Arquez, Meritxell Arenas, Domenec Puig
    Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2018)

  15. Malay Singh, Zeng Zeng, Emarene Mationg Kalaw, Danilo Medina Giron, Kian-Tai Chong, Hwee Kuan Lee.
    A study of nuclei classification methods in histopathological images.
    International Conference on Innovation in Medicine and Healthcare (KES-InMed-2017)

  16. Chao-Hui Huang.
    Semi-Supervised Color Decomposition For Histopathological Images Using Exclusive Component Analysis.
    IEEE International Workshop on Machine Learning for Signal Processing, September 17-20, 2015 Boston, USA.

  17. Connie (Khor Li) Kou, Chao-Hui Huang.
    Massiviely Parallelized Support Vector Machines Based on GPU-Accelerated Multiplicative Updates.
    Proc. of IEEE SSCI2014, Dec 2014.

  18. Chao-Hui Huang.
    Fast Overcomplete Topographical Independent Component Analysis (FOTICA) and Its Implementation Using GPUs.
    Proc. of IEEE SSCI2014, Dec 2014.

  19. Yan Nei Law, Monica K. Lieng, Jingmei Li, David Aik-Aun Khoo.
    Automated Breast Tissue Density Assessment Using High Order Regional Texture Descriptors in Mammography.
    Proc. of SPIE Medical Imaging, Feb 2014.

  20. Tianxia Gong, Nengli Lim, Li Cheng, Hwee Kuan Lee, Bolan Su, Chew Lim Tan, Shimiao Li, C. C. Tchoyoson Lim, Boon Chuan Pang, Cheng Kiang Lee.
    Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries.
    Intl. Conf. on Tools with Artificial Intelligence 2013 (ICTAI), Nov 2013.
  21. Thien Anh Dinh, Tomi Silander, Bolan Su, Tianxia Gong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee, Chew Lim Tan, Tze-Yun Leong.
    Unsupervised Medical Image Classification by Combining Case-Based Classifiers.
    The 14th World Congress on Medical and Health Informatics (Medinfo 2013), Aug 2013.

  22. Chao-Hui Huang.
    Pose Estimation for Vertebral Mobility Analysis Using eXclusive-ICA Based Boosting.
    Intl. Joint Conf. on Neural Networks (IJCNN'13), Aug 2013.

  23. Chao-Hui Huang.
    A Fast Method For Spine Localization in X-ray Images.
    35th Annual Intl. IEEE EMBS Conf., Jul 2013.

  24. Stephane Ulysse Rigaud*, Chao-Hui Huang, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu.
    An Analysis-Synthesis Approach for Neurosphere Modelisation Under Phase-Contrast Microscopy.
    35th Annual Intl. IEEE EMBS Conf., Jul 2013.

  25. Chao-Hui Huang and Hwee Kuan Lee.
    Automated Mitosis Detection Based on eXclusive Independent Component Analysis.
    21st Intl. Conf. on Pattern Recognition, Nov 2012.

  26. Yan Nei Law and Hwee Kuan Lee.
    Level Set Based Tracking for Cell Cycle Analysis Using Dynamical Shape Prior.
    Proc. of the 16th Conf. on Medical Image Understanding and Analysis (MIUA):137-142, Jul 2012.
  27. Xiong W, Chia SC, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha S, Sohail Ahmed.
    Segmentation of Neural Stem Cells/Neurospheres in High Content Brightfield Microscopy Images Using Localized Level Sets.
    IEEE Intl. Conf. on Image Processing, 2012.
  28. Xiong W, Chia SC, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha S, Sohail Ahmed.
    Segmentation of Unstained Neural Stem Cells/Neurospheres in Unevenly Illuminated Brightfield Images with Shading Reduction.
    Intl. Conf. on Pattern Recognition, 2012.
  29. Viet Anh Ngo, Yan Nei Law, Hwee Kuan Lee, Srivats Hariharan, Sohail Ahmed.
    Accurate Single-Molecule Localization of Super-Resolution Microscopy Images using Multiscale Products.
    Proc. SPIE,2012;8228,822813.
  30. Chao-Hui Huang, Daniel Racoceanu, Ludovic Roux, Thomas C. Putti.
    Bio-inspired Computer Visual System using GPU and Visual Pattern Assessment Language (ViPAL): Application on Breast Cancer Prognosis.
    In Neural Networks (IJCNN), The 2010 International Joint Conference on (pp. 1-8). IEEE.
  31. Yan Nei Law, Hwee Kuan Lee, Andy M. Yip.
    A Stochastic Level Set Method for Subspace Mumford-Shah Based Image Segmentation.
    Proc. of the Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition, 2011.
  32. Yan Nei Law, Hwee Kuan Lee, Michael K. Ng, Andy M. Yip.
    Interactive Segmentation of Multiple Images.
    Proc. of the Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition, 2011.
  33. Yan Nei Law, Hwee Kuan Lee, Andy M. Yip.
    Subspace Descriptor for Texture and its Applications.
    Proc. of the Intl. Conf. on Image Processing,Computer Vision and Pattern Recognition, 2010.
  34. Yan Nei Law, Hwee Kuan Lee, Andy M. Yip.
    A Subspace Clustering Model for Image Texture Segmentation.
    Proc. of 5th European Conference on Computational Fluid Dynamics, 2010.
  35. Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Shvetha Sankaran, Pascal Vallotton, Sohail Ahmed.
    Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres.
    Int. Sym. Visual Computing (ISVC 2009).
    Lecture Notes in Computer Science,2009;5875:531-543.
  36. Qirong Ho, Weimiao Yu, Hwee Kuan Lee.
    Region Graph Spectra as Geometric Global Image Features.
    Int. Sym. Visual Computing (ISVC 2009).
    Lecture Notes in Computer Science,2009;5875:253-264.
  37. Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Wenyu Bu, Sohail Ahmed
    Detection and Quantitative Measurement of Neuronal Outgrowth in Fluorescence Microscopy Images.
    Proc. of the Medical Image Understanding and Analysis (MIUA), 2009.
  38. Yan Nei Law, Hwee Kuan Lee, Andy M. Yip.
    Supervised Texture Segmentation Using the Subspace Mumford-Shah Model.
    Proc. of the Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition (IPCV09), 2009.
  39. Yan Nei Law, Hwee Kuan Lee, Chaoqiang Liu, Andy M. Yip.
    Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model.
    Proc. of the Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition (IPCV09), 2009.
  40. Choon Kong Yap, Hwee Kuan Lee.
    Identification of Cell Nucleus Using a Mumford-Shah Ellipse Detector.
    Int. Sym. Visual Computing (ISVC 2008).
    Lecture Notes in Computer Science,2008;5358:582-593.
  41. Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Wenyu Bu and Sohail Ahmed.
    Level Set Segmentation of Cellular Images Based on Topological Dependence.
    Int. Sym. Visual Computing (ISVC 2008).
    Lecture Notes in Computer Science,2008;5358:540-551(Best Paper Award in ISVC2008).