Enhanced adaptive traffic signal control system using camera sensor and embedded system. - Faris Al Afif; M. Febrian Rachmadi; Adi Wibowo; Wisnu Jatmiko; Petrus Mursanto; M. Anwar Ma'sum (MHS, 2011)

Mobile phones as traffic sensors with map matching and privacy considerations. - Benny Hardjono; Adi Wibowo; M. Febrian Rachmadi; Wisnu Jatmiko (MHS, 2012)

Modified Particle Swarm for multimodal functions in dynamic environment using iteration proportional change for inertia weight and weight of social components. - Didit Widiyanto; Adi Wibowo; M. Febrian Rachmadi; Wisnu Jatmiko (MHS, 2012)

Generalized learning vector quantization particle swarm optimization (GLVQ-PSO) FPGA implementation for real-time electrocardiogram. - Yulistiyan Wardhana; Wisnu Jatmiko; M. Febrian Rachmadi (IWBIS, 2016)

Optimization of Stacked Unsupervised Extreme Learning Machine to improve classifier performance. - Dewa Made Sri Arsa; M. Anwar Ma'sum; Muhammad Febrian Rachmadi; Wisnu Jatmiko (IWBIS, 2017)

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 (MIUA, 2017)

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 (J. Imaging, 2017)

Improving Principal Component Analysis Performance for Reducing Spectral Dimension in Hyperspectral Image Classification. - Dewa Made Sri Arsa; Hadaiq Rolis Sanabila; M. Febrian Rachmadi; Ahmad Gamal; Wisnu Jatmiko (IWBIS, 2018)

Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Taku Komura (MICCAI (3), 2018)

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 (PRIME@MICCAI, 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. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Maria Leonora Fatimah Agan; Carol Di Perri; Taku Komura (Comput. Medical Imaging Graph., 2018)

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 D. Makin; Joanna M. Wardlaw; Taku Komura (MICCAI (3), 2019)

Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme. - Carlos Pérez Leguízamo; Maria del C. Valdés Hernández; Muhammad Febrian Rachmadi; Taku Komura (Frontiers Neuroinformatics, 2019)

Improved Logistic-Sine Chaotic Map based S-box and Bit-Plane Scrambling Encryption Schemes Performance on Compressed ECG Data. - Muhammad Fauzi; Grafika Jati; Muhammad Febrian Rachmadi; Wisnu Jatmiko (IWBIS, 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. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Hongwei Li 004; Ricardo Guerrero; Rozanna Meijboom; Stewart Wiseman; Adam Waldman; Jianguo Zhang 001; Daniel Rueckert; Joanna M. Wardlaw; Taku Komura (Comput. Medical Imaging Graph., 2020)

Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Stephen D. Makin; Joanna M. Wardlaw; Taku Komura (Medical Image Anal., 2020)

Variational Contrastive Log Ratio Upper Bound of Mutual Information for Training Generative Models. - Marshal Arijona Sinaga; Machmud Roby Alhamidi; Muhammad Febrian Rachmadi; Wisnu Jatmiko (IWBIS, 2021)

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 M. Wardlaw; Stephen D. Makin; Henrik Skibbe (PRIME@MICCAI, 2021)

Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI). - Wisnu Jatmiko; Andry Sunandar; M. Sakti Alvissalim; Muhammad Iqbal Tawakal; M. Febrian Rachmadi; M. Anwar Ma'sum; Hanif Arif Wisesa; Toshio Fukuda (IEEE Access, 2021)

Modified MultiResUNet for Left Ventricle Segmentation from Echocardiographic Images. - Fityan Azizi; Akbar Fathur Sani; Rinto Priambodo; Wisma Chaerul Karunianto; MGS M. Luthfi Ramadhan; Muhammad Febrian Rachmadi; Wisnu Jatmiko (IWBIS, 2022)

Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. - Lhuqita Fazry; Asep Haryono; Nuzulul Khairu Nissa; Sunarno; Naufal Muhammad Hirzi; Muhammad Febrian Rachmadi; Wisnu Jatmiko (IWBIS, 2022)

An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain. - Charissa Poon; Muhammad Febrian Rachmadi; Michal Byra; Matthias Schlachter; Binbin Xu 002; Tomomi Shimogori; Henrik Skibbe (ISBI, 2023)

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. - Muhammad Febrian Rachmadi; Charissa Poon; Henrik Skibbe (CoRR, 2023)

White Matter Hyperintensities Segmentation Using Probabilistic TransUNet. - Muhammad Noor Dwi Eldianto; Muhammad Febrian Rachmadi; Wisnu Jatmiko (CoRR, 2023)

Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. - Michal Byra; Muhammad Febrian Rachmadi; Henrik Skibbe (CoRR, 2023)

Time-Distributed Vision Transformer Stacked With Transformer for Heart Failure Detection Based on Echocardiography Video. - MGS M. Luthfi Ramadhan; Adyatma W. A. Nugraha Yudha; Muhammad Febrian Rachmadi; Kevin Moses Hanky Jr Tandayu; Lies Dina Liastuti; Wisnu Jatmiko (IEEE Access, 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. - Muhammad Febrian Rachmadi; Michal Byra; Henrik Skibbe (Comput. Biol. Medicine, 2024)

Hybrid Wavelet-Attention Model for Detecting Changes in High-Resolution Remote Sensing Images. - Lhuqita Fazry; MGS M. Luthfi Ramadhan; Alif Wicaksana Ramadhan; Muhammad Febrian Rachmadi; Aprinaldi Jasa Mantau; Lukito Edi Nugroho; Chi-Hung Chi; Wisnu Jatmiko (IEEE Access, 2025)

Weighted Ensemble Based on Prisoner Dilemma for Facial Expression Recognition. - Muhammad Hannan Hunafa; M. Luthfi Ramadhan Mgs; Alif Wicaksana Ramadhan; Muhammad Febrian Rachmadi; Wisnu Jatmiko (IEEE Access, 2025)

Convolutional Autoencoder With Sequential and Channel Attention for Robust ECG Signal Denoising With Edge Device Implementation. - 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 (IEEE Access, 2025)