| Calcification detection using convolutional neural network architectures in intravascular ultrasound images H Sofian, JTC Ming, S Muhammad, NM Noor Indonesian Journal of Electrical Engineering and Computer Science 17 (3 …, 2020 | 19 | 2020 |
| Calcification detection using deep structured learning in intravascular ultrasound image for coronary artery disease H Sofian, JTC Ming, S Mohamad, NM Noor 2018 2nd International Conference on BioSignal Analysis, Processing and …, 2018 | 19 | 2018 |
| Segmentation and detection of media adventitia coronary artery boundary in medical imaging intravascular ultrasound using otsu thresholding H Sofian, JCM Than, NM Noor, H Dao 2015 International Conference on BioSignal Analysis, Processing and Systems …, 2015 | 17 | 2015 |
| Detection of the lumen boundary in the coronary artery disease H Sofian, JTC Ming, NM Noor 2015 IEEE International WIE Conference on Electrical and Computer …, 2015 | 12 | 2015 |
| IoT parking apps with car plate recognition for smart city using node red MSBM Nazri, TLAFB Tengku, L Gaafar, H Sofian, AAB Sajak 2020 11th international conference on information and communication systems …, 2020 | 11 | 2020 |
| Calcification boundary detection in coronary artery using intravascular ultrasound images H Sofian, A Ng, J Than, S Mohamad, NM Noor TENCON 2017-2017 IEEE Region 10 Conference, 2835-2839, 2017 | 11 | 2017 |
| Calcification detection of coronary artery disease in intravascular ultrasound image: Deep feature learning approach H Sofian, JCM Than, S Mohammad, NM Noor International Journal of Integrated Engineering 10 (7), 2018 | 10 | 2018 |
| Calcification Detection in Intravascular Ultrasound (IVUS) Images Using Transfer Learning Based MultiSVM model P Arora, P Singh, A Girdhar, R Vijayvergiya Ultrasonic Imaging 45 (3), 136-150, 2023 | 6 | 2023 |
| Intelligent flood information system via SMS (IFIS) SAS Hussin, MN Ismail, H Sofian Proceedings of the 6th International Conference on Ubiquitous Information …, 2012 | 5 | 2012 |
| Calcification detection for intravascular ultrasound image using direct acyclic graph architecture: Pre-Trained model for 1-channel image H Sofian, JCM Than, S Mohamad, N Mohd Noor Institute of Advanced Engineering and Science, 2021 | 4 | 2021 |
| Lumen boundary detection in IVUS medical imaging using structured element H Sofian, JCM Than, NM Noor, S Mohamad Proceedings of the 11th International Conference on Ubiquitous Information …, 2017 | 2 | 2017 |
| Efficient Face Detection And Identification In Networked Video Surveillance Systems MN Saadat, H Kabir, ZA Long, H Sofian, MFA Zuhairi 2020 14th International Conference on Ubiquitous Information Management and …, 2020 | 1 | 2020 |
| Using deep learning for calculation detection in coronary artery disease intravascular ultrasound image H Sofian, JCM Than, S Mohammad, NM Noor AIP Conference Proceedings 2129 (1), 2019 | 1 | 2019 |
| Lumen coronary artery border detection using texture and Chi-square classification H Sofian, S Muhammad, JTC Ming, NM Noor 2015 International Conference on Image and Vision Computing New Zealand …, 2015 | 1 | 2015 |
| Calcification Detection in Coronary Artery Disease for Intravascular Ultrasound Images using Convolutional Neural Networks H Sofian, JCM Than, S Mohamad, NM Noor 2019 IEEE International Conference on Smart Instrumentation, Measurement and …, 2019 | | 2019 |
| Retina images classification using histogram of equivalent pattern (HEP) texture descriptors S Mohammad, AN Aminuddin, H Sofian AIP Conference Proceedings 2129 (1), 2019 | | 2019 |
| Retina images classification using histogram of equivalent pattern (HEP) texture S Mohammad, AN Aminuddin, H Sofian | | 2019 |
| Roses Monitoring System Via Wireless Sensor Network Using Arduino Microcontroller KI Hashim, MI Ismail, H Sofian | | 2016 |
| IoT for Smart Home Appliances MFB Saharudin, R Alrawashdeh, AAB Sajak, H Sofian | | |
| DEVELOPED ROSES MONITORING SYSTEM USING WIRELESS NETWORK, SENSOR AND ARDUINO MICROCONTROLLER KI Hashim, MI Ismail, H Sofian | | |
Joel Chia Ming ThanSwinburne University of Technology Sarawak CampusVerified email at swinburne.edu.my
