ラフマディムハンマドフェブリアン (Muhammad Febrian Rachmadi) - マイポータル

基本情報

所属: RIKEN Brain Image Analysis Unit Postdoctoral Research Scientist

研究者番号: 60874881
ORCID iD: https://orcid.org/0000-0003-1672-9149
J-GLOBAL ID: 202001006097692690
researchmap会員ID: R000002808

外部リンク: https://febrianrachmadi.github.io/

論文

Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Henrik Skibbe

Scientific Reports 15(1) 2025年12月
A dataset of rodent cerebrovasculature from in vivo multiphoton fluorescence microscopy imaging.

Charissa Poon, Petteri Teikari, Muhammad Febrian Rachmadi, Henrik Skibbe, Kullervo Hynynen

Scientific data 10(1) 141-141 2023年3月17日
Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Rizal Maulana, Joanna Wardlaw, Stephen Makin, Henrik Skibbe

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12928 LNCS 168-180 2021年
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Hongwei Li, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang, Daniel Rueckert, Joanna Wardlaw …

Computerized Medical Imaging and Graphics 79 101685-101685 2020年1月査読有り
Evaluation of enhanced learning techniques for segmenting ischaemic stroke lesions in brain magnetic resonance perfusion images using a convolutional neural network scheme

Carlos Uziel Pérez Malla, Maria del C. Valdés Hernández, Muhammad Febrian Rachmadi, Taku Komura

Frontiers in Neuroinformatics 13 33-33 2019年5月29日査読有り
2-Dimensional homogeneous distributed ensemble feature selection

Machmud R. Alhamidi, Dewa M.S. Arsa, Muhammad Febrian Rachmadi, Wisnu Jatmiko

2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 367-372 2019年1月17日査読有り
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna M. Wardlaw, Taku Komura

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11766 LNCS 146-154 2019年査読有り
Dilated Saliency U-Net for white matter hyperintensities segmentation using Irregularity age map

Yunhee Jeong, Muhammad Febrian Rachmadi, Maria Del C. Valdés-Hernández, Taku Komura

Frontiers in Aging Neuroscience 11(JUN) 150-150 2019年査読有り
Improving Principal Component Analysis Performance for Reducing Spectral Dimension in Hyperspectral Image Classification

Dewa Made Sri Arsa, H. R. Sanabila, M. Febrian Rachmadi, Ahmad Gamal, Wisnu Jatmiko

2018 International Workshop on Big Data and Information Security, IWBIS 2018 123-128 2018年9月24日査読有り
Face Recognition Using Complex Valued Backpropagation

Zumrotun Nafisah, Febrian Rachmadi, Elly Matul Imah

Jurnal Ilmu Komputer dan Informasi 11(2) 103-103 2018年6月29日査読有り
Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Maria Leonora Fatimah Agan, Carol Di Perri, Taku Komura

Computerized Medical Imaging and Graphics 66 28-43 2018年6月査読有り
Voxel-based irregularity age map (IAM) for brain's white matter hyperintensities in MRI

Muhammad Febrian Rachmadi, Maria Del C. Valdes-Hernandez, Taku Komura

2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017 2018-January 321-326 2018年5月4日査読有り
Optimization of Stacked Unsupervised Extreme Learning Machine to improve classifier performance

Dewa Made Sri Arsa, M. Anwar Ma'sum, Muhammad Febrian Rachmadi, Wisnu Jatmiko

Proceedings - WBIS 2017: 2017 International Workshop on Big Data and Information Security 2018-January 63-68 2018年1月29日査読有り
Automatic irregular texture detection in brain MRI without human supervision

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Taku Komura

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11072 LNCS 506-513 2018年査読有り
Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Taku Komura

2018年査読有り
Deep learning vs. conventional machine learning: Pilot study of WMH segmentation in brain MRI with absence or mild vascular pathology

Muhammad Febrian Rachmadi, Maria Del C. Valdés-Hernández, Maria Leonora Fatimah Agan, Taku Komura

Journal of Imaging 3(4) 2017年12月査読有り
Vehicle traffic monitoring using single camera and embedded systems

Rindra Wiska, MacHmud R. Alhamidi, Novian Habibie, Ari Wibisono, Petrus Mursanto, Doni H. Ramdhan, M. Febrian Rachmadi, Wisnu Jatmiko

2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 117-122 2017年3月6日査読有り
Generalized learning vector quantization particle swarm optimization (GLVQ-PSO) FPGA implementation for real-time electrocardiogram

Yulistiyan Wardhana, Wisnu Jatmiko, M. Febrian Rachmadi

2016 International Workshop on Big Data and Information Security, IWBIS 2016 103-108 2017年3月6日査読有り
Evaluation of four supervised learning schemes in white matter hyperintensities segmentation in absence or mild presence of vascular pathology

Muhammad Febrian Rachmadi, Maria Del C. Valdés-Hernández, Maria Leonora Fatimah Agan, Taku Komura

Communications in Computer and Information Science 723 482-493 2017年査読有り
Semantic supported object and context recognition

Kosuke Sekiyama, M. Febrian Rachmadi, Toshio Fukuda

Proceedings of the SICE Annual Conference 1407-1412 2013年査読有り

もっとみる

共同研究・競争的資金等の研究課題

Development of Data-driven Prediction Model using 3D Multimodal Deep Neural Networks for Estimating the Evolution of White Matter Hyperintensities Associated with Small Vessel Disease in Brain MRI

日本学術振興会科学研究費助成事業研究活動スタート支援 2020年9月 - 2022年3月

Rachmadi Muhammad