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2020 – today
- 2024
[j7]Hongqing Wang
, Jun Kit Chaw, Sim Kuan Goh, Liantao Shi, Tin Tin Ting, Nannan Huang, Hong-Seng Gan:
Super-Resolution GAN and Global Aware Object Detection System for Vehicle Detection in Complex Traffic Environments. IEEE Access 12: 113442-113462 (2024)- [j6]Nisha Nadhira Nazirun, Asnida Abdul Wahab, Ali Selamat, Hamido Fujita, Ondrej Krejcar, Kamil Kuca, Hong-Seng Gan:
Prediction Models for Type 2 Diabetes Progression: A Systematic Review. IEEE Access 12: 161595-161619 (2024) - [j5]De Rosal Ignatius Moses Setiadi, Ajib Susanto, Kristiawan Nugroho, Ahmad Rofiqul Muslikh, Arnold Adimabua Ojugo, Hong-Seng Gan:
Rice Yield Forecasting Using Hybrid Quantum Deep Learning Model. Comput. 13(8): 191 (2024) - [c4]Yuxin You, Hong-Seng Gan, Akinobu Shimizu, Muhammad Hanif Ramlee, Hafiz Basarudin, Viet-Vu Vu:
Breast Cancer Classification Using DDPM and Holographic Guidance Diffusion Framework. ISPA 2024: 1805-1810 - 2023
- [c3]Hongbin Na, Lilin Wang, Xinyao Zhuang, Jianfei He, Zhenyu Liu, Zimu Wang, Hong-Seng Gan:
Attention-Based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis. BIBE 2023: 219-225 - [c2]Viet-Thang Vu, Thanh Quyen Bui Thi, Hong-Seng Gan, Viet-Vu Vu, Do Manh Quang, Vu Thanh Duc, Dinh-Lam Pham:
Activation functions for deep learning: an application for rare attack detection in wireless local area network (WLAN). ICACT 2023: 59-64 - 2022
- [j4]Hong-Seng Gan, Muhammad Hanif Ramlee, Bander Ali Saleh Al-Rimy, Yeng-Seng Lee, Prayoot Akkaraekthalin:
Hierarchical Knee Image Synthesis Framework for Generative Adversarial Network: Data From the Osteoarthritis Initiative. IEEE Access 10: 55051-55061 (2022) - [j3]Rinci Kembang Hapsari, Miswanto, Riries Rulaningtyas, Herry Suprajitno, Hong-Seng Gan:
Modified Gray-Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris Image. Int. J. Biomed. Imaging 2022: 5336373:1-5336373:11 (2022) - 2021
- [j2]Hong-Seng Gan, Muhammad Hanif Ramlee, Asnida Abd Wahab, Yeng-Seng Lee, Akinobu Shimizu:
From classical to deep learning: review on cartilage and bone segmentation techniques in knee osteoarthritis research. Artif. Intell. Rev. 54(4): 2445-2494 (2021)
2010 – 2019
- 2019
- [j1]Hong-Seng Gan, Khairil Amir Sayuti, Muhammad Hanif Ramlee, Yeng-Seng Lee, Wan Mahani Hafizah Wan Mahmud, Ahmad Helmy Abdul Karim:
Unifying the seeds auto-generation (SAGE) with knee cartilage segmentation framework: data from the osteoarthritis initiative. Int. J. Comput. Assist. Radiol. Surg. 14(5): 755-762 (2019) - 2017
- [c1]Hong-Seng Gan, Khairil Amir Sayuti, Ahmad Helmy Abdul Karim, Rasyiqah Annani Mohd Rosidi, Aida Syafiqah Ahmad Khaizi:
Analysis on Semi-Automated Knee Cartilage Segmentation Model using Inter-Observer Reproducibility: Data from the Osteoarthritis Initiative. ICBBB 2017: 12-16
Coauthor Index
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