Muhammad Febrian Rachmadi

Orcid: 0000-0003-1672-9149

According to our database1, Muhammad Febrian Rachmadi authored at least 26 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
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, 2024

2023
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models.
CoRR, 2023

White Matter Hyperintensities Segmentation Using Probabilistic TransUNet.
CoRR, 2023

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function.
CoRR, 2023

An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation.
Proceedings of the 7th International Workshop on Big Data and Information Security, 2022

Modified MultiResUNet for Left Ventricle Segmentation from Echocardiographic Images.
Proceedings of the 7th International Workshop on Big Data and Information Security, 2022

2021
Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI).
IEEE Access, 2021

Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Variational Contrastive Log Ratio Upper Bound of Mutual Information for Training Generative Models.
Proceedings of the 6th International Workshop on Big Data and Information Security, 2021

2020
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks.
Medical Image Anal., 2020

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., 2020

Improved Logistic-Sine Chaotic Map based S-box and Bit-Plane Scrambling Encryption Schemes Performance on Compressed ECG Data.
Proceedings of the International Workshop on Big Data and Information Security, 2020

2019
Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme.
Frontiers Neuroinformatics, 2019

Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
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., 2018

Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Automatic Irregular Texture Detection in Brain MRI Without Human Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Improving Principal Component Analysis Performance for Reducing Spectral Dimension in Hyperspectral Image Classification.
Proceedings of the 2018 International Workshop on Big Data and Information Security, 2018

2017
Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology.
J. Imaging, 2017

Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Optimization of Stacked Unsupervised Extreme Learning Machine to improve classifier performance.
Proceedings of the International Workshop on Big Data and Information Security, 2017

2016
Generalized learning vector quantization particle swarm optimization (GLVQ-PSO) FPGA implementation for real-time electrocardiogram.
Proceedings of the International Workshop on Big Data and Information Security, 2016

2012
Modified Particle Swarm for multimodal functions in dynamic environment using iteration proportional change for inertia weight and weight of social components.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2012

Mobile phones as traffic sensors with map matching and privacy considerations.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2012

2011
Enhanced adaptive traffic signal control system using camera sensor and embedded system.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2011


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