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Muhammad Febrian Rachmadi
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2020 – today
- 2024
- [j7]Muhammad Febrian Rachmadi
, Michal Byra
A new family of instance-level loss functions for improving instance-level segmentation and detection of white matter hyperintensities in routine clinical brain MRI. Comput. Biol. Medicine 174: 108414 (2024) - 2023
- [c16]Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu
An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain. ISBI 2023: 1-5 - [i5]Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe:
An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain. CoRR abs/2303.06857 (2023) - [i4]Lhuqita Fazry, Asep Haryono
Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. CoRR abs/2304.00177 (2023) - [i3]Muhammad Febrian Rachmadi, Charissa Poon, Henrik Skibbe:
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. CoRR abs/2304.06229 (2023) - [i2]Muhammad Noor Dwi Eldianto, Muhammad Febrian Rachmadi, Wisnu Jatmiko:
White Matter Hyperintensities Segmentation Using Probabilistic TransUNet. CoRR abs/2305.03912 (2023) - [i1]Michal Byra, Muhammad Febrian Rachmadi, Henrik Skibbe:
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. CoRR abs/2308.04005 (2023) - 2022
- [c15]Fityan Azizi, Akbar Fathur Sani, Rinto Priambodo, Wisma Chaerul Karunianto, Mgs M. Luthfi Ramadhan
Modified MultiResUNet for Left Ventricle Segmentation from Echocardiographic Images. IWBIS 2022: 33-38 - [c14]Lhuqita Fazry, Asep Haryono
Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. IWBIS 2022: 39-44 - 2021
- [j6]Wisnu Jatmiko
Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI). IEEE Access 9: 47452-47480 (2021) - [c13]Marshal Arijona Sinaga, Machmud Roby Alhamidi, Muhammad Febrian Rachmadi, Wisnu Jatmiko:
Variational Contrastive Log Ratio Upper Bound of Mutual Information for Training Generative Models. IWBIS 2021: 9-16 - [c12]Muhammad Febrian Rachmadi
Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. PRIME@MICCAI 2021: 168-180 - 2020
- [j5]Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li
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. Comput. Medical Imaging Graph. 79: 101685 (2020) - [j4]Muhammad Febrian Rachmadi
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. Medical Image Anal. 63: 101712 (2020) - [c11]Muhammad Fauzi, Grafika Jati, Muhammad Febrian Rachmadi, Wisnu Jatmiko:
Improved Logistic-Sine Chaotic Map based S-box and Bit-Plane Scrambling Encryption Schemes Performance on Compressed ECG Data. IWBIS 2020: 97-102
2010 – 2019
- 2019
- [j3]Carlos Pérez Leguízamo, Maria del C. Valdés Hernández, Muhammad Febrian Rachmadi, Taku Komura:
Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme. Frontiers Neuroinformatics 13: 33 (2019) - [c10]Muhammad Febrian Rachmadi
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. MICCAI (3) 2019: 146-154 - 2018
- [j2]Muhammad Febrian Rachmadi
Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology. Comput. Medical Imaging Graph. 66: 28-43 (2018) - [c9]Dewa Made Sri Arsa, Hadaiq Rolis Sanabila, M. Febrian Rachmadi
Improving Principal Component Analysis Performance for Reducing Spectral Dimension in Hyperspectral Image Classification. IWBIS 2018: 123-128 - [c8]Muhammad Febrian Rachmadi
Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI. PRIME@MICCAI 2018: 85-93 - [c7]Muhammad Febrian Rachmadi
Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. MICCAI (3) 2018: 506-513 - 2017
- [j1]Muhammad Febrian Rachmadi
Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology. J. Imaging 3(4): 66 (2017) - [c6]Dewa Made Sri Arsa, M. Anwar Ma'sum
Optimization of Stacked Unsupervised Extreme Learning Machine to improve classifier performance. IWBIS 2017: 63-68 - [c5]Muhammad Febrian Rachmadi
Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. MIUA 2017: 482-493 - 2016
- [c4]Yulistiyan Wardhana, Wisnu Jatmiko
Generalized learning vector quantization particle swarm optimization (GLVQ-PSO) FPGA implementation for real-time electrocardiogram. IWBIS 2016: 103-108 - 2012
- [c3]Didit Widiyanto
Modified Particle Swarm for multimodal functions in dynamic environment using iteration proportional change for inertia weight and weight of social components. MHS 2012: 272-277 - [c2]Benny Hardjono
Mobile phones as traffic sensors with map matching and privacy considerations. MHS 2012: 450-455 - 2011
- [c1]Faris Al Afif, M. Febrian Rachmadi
Enhanced adaptive traffic signal control system using camera sensor and embedded system. MHS 2011: 367-372
Coauthor Index
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