Skip navigation
HKU Login
Guest Login
Home
Publications
Researchers
Staff
Research Postgraduates
Organizations
Grants
Datasets
Deposit Data
HKUL Research Data Management
Theses
Patents
Community Service
Browsing "Faculty of Engineering" by Author rachmadi, muhammad febrian
Jump to:
0-9
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
中
or enter first few letters:
Showing results 1 to 10 of 10
Title
Author(s)
Issue Date
Automatic irregular texture detection in brain MRI without human supervision
Proceeding/Conference:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: Part III
Rachmadi, Muhammad Febrian
Valdés-Hernández, Maria del C.
Komura, Taku
2018
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks
Journal:
Medical Image Analysis
Rachmadi, Muhammad Febrian
Valdés-Hernández, Maria del C.
Makin, Stephen
Wardlaw, Joanna
Komura, Taku
2020
Deep learning vs. conventional machine learning: Pilot study of WMH segmentation in brain MRI with absence or mild vascular pathology
Journal:
Journal of Imaging
Rachmadi, Muhammad Febrian
Del C. Valdés-Hernández, Maria
Agan, Maria Leonora Fatimah
Komura, Taku
2017
Dilated Saliency U-Net for white matter hyperintensities segmentation using Irregularity age map
Journal:
Frontiers in Aging Neuroscience
Jeong, Yunhee
Rachmadi, Muhammad Febrian
Valdés-Hernández, Maria Del C.
Komura, Taku
2019
Evaluation of enhanced learning techniques for segmenting ischaemic stroke lesions in brain magnetic resonance perfusion images using a convolutional neural network scheme
Journal:
Frontiers in Neuroinformatics
Pérez Malla, Carlos Uziel
Valdés Hernández, Maria del C.
Rachmadi, Muhammad Febrian
Komura, Taku
2019
Evaluation of four supervised learning schemes in white matter hyperintensities segmentation in absence or mild presence of vascular pathology
Proceeding/Conference:
Medical Image Understanding and Analysis
Rachmadi, Muhammad Febrian
Valdés-Hernández, Maria Del C.
Agan, Maria Leonora Fatimah
Komura, Taku
2017
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
Journal:
Computerized Medical Imaging and Graphics
Rachmadi, Muhammad Febrian
Valdés-Hernández, Maria del C.
Li, Hongwei
Guerrero, Ricardo
Meijboom, Rozanna
Wiseman, Stewart
Waldman, Adam
Zhang, Jianguo
Rueckert, Daniel
Wardlaw, Joanna
Komura, Taku
2020
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map
Proceeding/Conference:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: Part III
Rachmadi, Muhammad Febrian
del C. Valdés-Hernández, Maria
Makin, Stephen
Wardlaw, Joanna M.
Komura, Taku
2019
Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology
Journal:
Computerized Medical Imaging and Graphics
Rachmadi, Muhammad Febrian
Valdés-Hernández, Maria del C.
Agan, Maria Leonora Fatimah
Di Perri, Carol
Komura, Taku
2018
Voxel-based irregularity age map (IAM) for brain's white matter hyperintensities in MRI
Proceeding/Conference:
2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
Rachmadi, Muhammad Febrian
Valdes-Hernandez, Maria Del C.
Komura, Taku
2017