Muhammad Febrian Rachmadi

27 papers Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Convolutional Autoencoder With Sequential and Channel Attention for Robust ECG Signal Denoising With Edge Device Implementation. IEEE Access Alif Wicaksana Ramadhan, Syifa Kushirayati, Salsabila Aurellia, MGS M. Luthfi Ramadhan, Muhammad Hannan Hunafa, Muhammad Febrian Rachmadi, Aprinaldi Jasa Mantau, Siti Nurmaini, Satria Mandala, Wisnu Jatmiko
2025	J	`jnl`	Hybrid Wavelet-Attention Model for Detecting Changes in High-Resolution Remote Sensing Images. IEEE Access Lhuqita Fazry, MGS M. Luthfi Ramadhan, Alif Wicaksana Ramadhan, Muhammad Febrian Rachmadi, Aprinaldi Jasa Mantau, Lukito Edi Nugroho, Chi-Hung Chi, Wisnu Jatmiko
2025	J	`jnl`	Mamba-Based Deep Learning Methods in Medical Image Analysis: A Systematic Literature Review. IEEE Access Yogiek Indra Kurniawan, Muhammad Febrian Rachmadi, Alif Wicaksana Ramadhan, Wisnu Jatmiko
2025	J	`jnl`	Weighted Ensemble Based on Prisoner Dilemma for Facial Expression Recognition. IEEE Access Muhammad Hannan Hunafa, MGS M. Luthfi Ramadhan, Alif Wicaksana Ramadhan, Muhammad Febrian Rachmadi, Wisnu Jatmiko
2024	J	`jnl`	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 Muhammad Febrian Rachmadi, Michal Byra, Henrik Skibbe
2024	J	`jnl`	Time-Distributed Vision Transformer Stacked With Transformer for Heart Failure Detection Based on Echocardiography Video. IEEE Access MGS M. Luthfi Ramadhan, Adyatma W. A. Nugraha Yudha, Muhammad Febrian Rachmadi, Kevin Moses Hanky Jr Tandayu, Lies Dina Liastuti, Wisnu Jatmiko
2023	—	`conf`	An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain. ISBI Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe
2023	J	`jnl`	An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain. CoRR Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe
2023	J	`jnl`	Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. CoRR Michal Byra, Muhammad Febrian Rachmadi, Henrik Skibbe
2023	J	`jnl`	Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. CoRR Lhuqita Fazry, Asep Haryono, Nuzulul Khairu Nissa, Sunarno, Naufal Muhammad Hirzi, Muhammad Febrian Rachmadi, Wisnu Jatmiko
2023	J	`jnl`	Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. CoRR Muhammad Febrian Rachmadi, Charissa Poon, Henrik Skibbe
2023	J	`jnl`	White Matter Hyperintensities Segmentation Using Probabilistic TransUNet. CoRR Muhammad Noor Dwi Eldianto, Muhammad Febrian Rachmadi, Wisnu Jatmiko
2022	—	`conf`	Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. IWBIS Lhuqita Fazry, Asep Haryono, Nuzulul Khairu Nissa, Sunarno, Naufal Muhammad Hirzi, Muhammad Febrian Rachmadi, Wisnu Jatmiko
2022	—	`conf`	Modified MultiResUNet for Left Ventricle Segmentation from Echocardiographic Images. IWBIS Fityan Azizi, Akbar Fathur Sani, Rinto Priambodo, Wisma Chaerul Karunianto, MGS M. Luthfi Ramadhan, Muhammad Febrian Rachmadi, Wisnu Jatmiko
2021	—	`conf`	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 Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Rizal Maulana, Joanna M. Wardlaw, Stephen D. Makin, Henrik Skibbe
2021	—	`conf`	Variational Contrastive Log Ratio Upper Bound of Mutual Information for Training Generative Models. IWBIS Marshal Arijona Sinaga, Machmud Roby Alhamidi, Muhammad Febrian Rachmadi, Wisnu Jatmiko
2020	J	`jnl`	Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. Medical Image Anal. Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
2020	—	`conf`	Improved Logistic-Sine Chaotic Map based S-box and Bit-Plane Scrambling Encryption Schemes Performance on Compressed ECG Data. IWBIS Muhammad Fauzi, Grafika Jati, Muhammad Febrian Rachmadi, Wisnu Jatmiko
2020	J	`jnl`	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. Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang, Daniel Rueckert, Joanna M. Wardlaw, Taku Komura
2019	J	`jnl`	Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme. Frontiers Neuroinformatics Carlos Pérez Leguízamo, Maria del C. Valdés Hernández, Muhammad Febrian Rachmadi, Taku Komura
2019	—	`conf`	Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. MICCAI (3) Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
2018	—	`conf`	Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. MICCAI (3) Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Taku Komura
2018	J	`jnl`	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. Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Carol Di Perri, Taku Komura
2018	—	`conf`	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 Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Taku Komura
2017	J	`jnl`	Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology. J. Imaging Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Taku Komura
2017	—	`conf`	Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. MIUA Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Taku Komura
2017	—	`conf`	Optimization of Stacked Unsupervised Extreme Learning Machine to improve classifier performance. IWBIS Dewa Made Sri Arsa, M. Anwar Ma'sum, Muhammad Febrian Rachmadi, Wisnu Jatmiko