| 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 | 80* | 2018 |
| 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 | 73 | 2011 |
| 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 | 63 | 2016 |
| Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks MF Rachmadi, MC Valdés-Hernández, S Makin, J Wardlaw, T Komura Medical image analysis 63, 101712, 2020 | 37 | 2020 |
| 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 | 34 | 2019 |
| Local and long-distance organization of prefrontal cortex circuits in the marmoset brain A Watakabe, H Skibbe, K Nakae, H Abe, N Ichinohe, MF Rachmadi, ... Neuron 111 (14), 2258-2273. e10, 2023 | 33 | 2023 |
| 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 | 29 | 2017 |
| 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 | 23 | 2012 |
| Predicting the evolution of white matter Hyperintensities in brain MRI using generative adversarial networks and irregularity map MF Rachmadi, M del C. Valdés-Hernández, S Makin, JM Wardlaw, ... International conference on medical image computing and computer-assisted …, 2019 | 20 | 2019 |
| 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 | 19* | 2020 |
| Hierarchical vision transformers for cardiac ejection fraction estimation L Fazry, A Haryono, NK Nissa, NM Hirzi, MF Rachmadi, W Jatmiko 2022 7th International Workshop on Big Data and Information Security (IWBIS …, 2022 | 18 | 2022 |
| 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 | 17 | 2019 |
| 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 | 16 | 2011 |
| Exploring the performance of implicit neural representations for brain image registration M Byra, C Poon, MF Rachmadi, M Schlachter, H Skibbe Scientific Reports 13 (1), 17334, 2023 | 14 | 2023 |
| The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain H Skibbe, MF Rachmadi, K Nakae, CE Gutierrez, J Hata, H Tsukada, ... PLoS biology 21 (6), e3002158, 2023 | 13 | 2023 |
| 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 | 13 | 2017 |
| Improving segmentation of objects with varying sizes in biomedical images using instance-wise and center-of-instance segmentation loss function F Rachmadi, C Poon, H Skibbe Medical Imaging with Deep Learning, 286-300, 2024 | 11 | 2024 |
| A dataset of rodent cerebrovasculature from in vivo multiphoton fluorescence microscopy imaging C Poon, P Teikari, MF Rachmadi, H Skibbe, K Hynynen Scientific Data 10 (1), 141, 2023 | 10 | 2023 |
| 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, M del C. Valdés-Hernández, T Komura PRedictive Intelligence in MEdicine: First International Workshop, PRIME …, 2018 | 10* | 2018 |
| 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 | 10 | 2012 |
Wisnu JatmikoProfessor, Faculty Computer Science University of IndonesiaEmail được xác minh tại cs.ui.ac.id