| Adaptive traffic signal control system using camera sensor and embedded system MF Rachmadi, F Al Afif, W Jatmiko, P Mursanto, EA Manggala, ... TENCON 2011-2011 IEEE Region 10 Conference, 1261-1265, 2011 | 46 | 2011 |
| Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology MF Rachmadi, MC Valdes-Hernandez, MLF Agan, C Di Perri, T Komura, ... Computerized Medical Imaging and Graphics 66, 28-43, 2018 | 39 | 2018 |
| Particle swarm optimization (PSO) for training optimization on convolutional neural network (CNN) AR Syulistyo, DMJ Purnomo, MF Rachmadi, A Wibowo Jurnal Ilmu Komputer dan Informasi 9 (1), 52-58, 2016 | 28 | 2016 |
| Mobile phones as traffic sensors with map matching and privacy considerations B Hardjono, A Wibowo, MF Rachmadi, W Jatmiko 2012 International Symposium on Micro-NanoMechatronics and Human Science …, 2012 | 21 | 2012 |
| Deep learning vs. conventional machine learning: Pilot study of wmh segmentation in brain mri with absence or mild vascular pathology MF Rachmadi, MC Valdés-Hernández, MLF Agan, T Komura Journal of Imaging 3 (4), 66, 2017 | 18 | 2017 |
| Enhanced adaptive traffic signal control system using camera sensor and embedded system F Al Afif, MF Rachmadi, A Wibowo, W Jatmiko, P Mursanto, MA Ma'sum 2011 International Symposium on Micro-NanoMechatronics and Human Science …, 2011 | 12 | 2011 |
| Spectral domain cross correlation function and generalized learning vector quantization for recognizing and classifying indonesian sign language E Rakun, MF Rachmadi, K Danniswara 2012 International Conference on Advanced Computer Science and Information …, 2012 | 9 | 2012 |
| Automatic irregular texture detection in brain mri without human supervision MF Rachmadi, MC Valdés-Hernández, T Komura International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 8 | 2018 |
| Transfer learning for task adaptation of brain lesion assessment and prediction of brain abnormalities progression/regression using irregularity age map in brain mri MF Rachmadi, MC Valdés-Hernández, T Komura International Workshop on PRedictive Intelligence In MEdicine, 85-93, 2018 | 8* | 2018 |
| Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images using a Convolutional Neural Network Scheme CU Pérez Malla, MDC Valdés Hernández, MF Rachmadi, T Komura Frontiers in neuroinformatics 13, 33, 2019 | 6 | 2019 |
| Voxel-based irregularity age map (iam) for brain's white matter hyperintensities in mri MF Rachmadi, MC Valdés-Hernández, T Komura 2017 International Conference on Advanced Computer Science and Information …, 2017 | 6 | 2017 |
| Optimization of stacked unsupervised extreme learning machine to improve classifier performance DMS Arsa, MA Ma'sum, MF Rachmadi, W Jatmiko 2017 International Workshop on Big Data and Information Security (IWBIS), 63-68, 2017 | 6 | 2017 |
| Fuzzy learning vector quantization particle swarm optimization (FLVQ-PSO) and fuzzy neuro generalized learning vector quantization (FN-GLVQ) for automatic early detection … MF Rachmadi, MA Ma'sum, IMA Setiawan, W Jatmiko 2012 Proceedings of SICE Annual Conference (SICE), 465-470, 2012 | 6 | 2012 |
| Beagleboard embedded system for adaptive traffic light control system with camera sensor MF Rachmadi, F Al Afif, MA Ma'sum, M Fajar, A Wibowo Jurnal Ilmu Komputer dan Informasi 5 (2), 63-71, 2012 | 6 | 2012 |
| Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain … MF Rachmadi, MC Valdés-Hernández, H Li, R Guerrero, R Meijboom, ... Computerized Medical Imaging and Graphics 79, 101685, 2020 | 5* | 2020 |
| Dilated saliency u-net for white matter hyperintensities segmentation using irregularity age map Y Jeong, MF Rachmadi, MC Valdés-Hernández, T Komura Frontiers in aging neuroscience 11, 150, 2019 | 5 | 2019 |
| Evaluation of four supervised learning schemes in white matter hyperintensities segmentation in absence or mild presence of vascular pathology MF Rachmadi, MC Valdés-Hernández, MLF Agan, T Komura, ... Annual Conference on Medical Image Understanding and Analysis, 482-493, 2017 | 5 | 2017 |
| Predicting the evolution of white matter Hyperintensities in brain MRI using generative adversarial networks and irregularity map MF Rachmadi, MC Valdés-Hernández, S Makin, JM Wardlaw, T Komura International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 4 | 2019 |
| Comparison of image enhancement methods for chromosome karyotype image enhancement DMS Arsa, G Jati, A Santoso, R Filano, N Hanifah, MF Rachmadi Jurnal Ilmu Komputer dan Informasi 10 (1), 50-58, 2017 | 4 | 2017 |
| Vehicle traffic monitoring using single camera and embedded systems R Wiska, MR Alhamidi, N Habibie, A Wibisono, P Mursanto, DH Ramdhan, ... 2016 International Conference on Advanced Computer Science and Information …, 2016 | 2 | 2016 |
Wisnu JatmikoProfessor, Faculty Computer Science University of IndonesiaVerified email at cs.ui.ac.id
