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

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

An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain. - Poon, Charissa; Rachmadi, Muhammad Febrian; Byra, Michal; Schlachter, Matthias; Xu, Binbin; Shimogori, Tomomi; Skibbe, Henrik (CoRR, 2023)

Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. - Fazry, Lhuqita; Haryono, Asep; Nissa, Nuzulul Khairu; Sunarno; Hirzi, Naufal Muhammad; Rachmadi, Muhammad Febrian; Jatmiko, Wisnu (CoRR, 2023)

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

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

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

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

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

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

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

Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. - Rachmadi, Muhammad Febrian; Hernández, Maria del C. Valdés; Maulana, Rizal; Wardlaw, Joanna M.; Makin, Stephen D.; Skibbe, Henrik (2021)

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. - Rachmadi, Muhammad Febrian; Hernández, Maria del C. Valdés; Li, Hongwei; Guerrero, Ricardo; Meijboom, Rozanna; Wiseman, Stewart; Waldman, Adam; Zhang, Jianguo; Rueckert, Daniel; Wardlaw, Joanna M.; Komura, Taku (Comput. Medical Imaging Graph., 2020)

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

Improved Logistic-Sine Chaotic Map based S-box and Bit-Plane Scrambling Encryption Schemes Performance on Compressed ECG Data. - Fauzi, Muhammad; Jati, Grafika; Rachmadi, Muhammad Febrian; Jatmiko, Wisnu (2020)

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

Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. - Rachmadi, Muhammad Febrian; Hernández, Maria del C. Valdés; Makin, Stephen D.; 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. - Rachmadi, Muhammad Febrian; Hernández, Maria del C. Valdés; Agan, Maria Leonora Fatimah; Perri, Carol Di; Komura, Taku (Comput. Medical Imaging Graph., 2018)

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

Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI. - Rachmadi, Muhammad Febrian; Hernández, Maria del C. Valdés; Komura, Taku (2018)

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

Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology. - Rachmadi, Muhammad Febrian; Hernández, Maria del C. Valdés; Agan, Maria Leonora Fatimah; Komura, Taku (J. Imaging, 2017)

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

Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. - Rachmadi, Muhammad Febrian; Hernández, Maria del C. Valdés; Agan, Maria Leonora Fatimah; Komura, Taku (2017)

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

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

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

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