Muhammad Febrian Rachmadi
Muhammad Febrian Rachmadi
Postdoctoral Research Scientist, Brain Image Analysis Unit, RIKEN Center for Brain Science, Japan
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
412011
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 Valdés-Hernández, MLF Agan, C Di Perri, T Komura, ...
Computerized Medical Imaging and Graphics 66, 28-43, 2018
242018
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
232016
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
172012
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
162017
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
122011
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
92012
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
72018
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
7*2018
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
62017
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
62012
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
52017
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
52012
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
42017
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
32017
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
32016
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
22020
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
22019
Dilated saliency u-net for white matter hyperintensities segmentation using irregularity age map
Y Jeong, MF Rachmadi, MDC Valdés Hernández, T Komura
Frontiers in Aging Neuroscience 11, 150, 2019
22019
Automatic Arrhythmia beat detection: algorithm, system, and implementation
W Jatmiko, IMA Setiawan, MA Akbar, ME Suryana, Y Wardhana, ...
Makara Journal of Technology 20 (2), 82-92, 2016
22016
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