Muhammad Febrian Rachmadi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Biomedical Images

Gene Expression

Top Venues

Publications

Muhammad Febrian Rachmadi, Michal Byra, Henrik Skibbe
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 (2024)
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. ISBI (2023)
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 (2023)
Muhammad Noor Dwi Eldianto, Muhammad Febrian Rachmadi, Wisnu Jatmiko
White Matter Hyperintensities Segmentation Using Probabilistic TransUNet. CoRR (2023)
Lhuqita Fazry, Asep Haryono, Nuzulul Khairu Nissa, Sunarno, Naufal Muhammad Hirzi, Muhammad Febrian Rachmadi, Wisnu Jatmiko
Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. CoRR (2023)
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 (2023)
Michal Byra, Muhammad Febrian Rachmadi, Henrik Skibbe
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. CoRR (2023)
Fityan Azizi, Akbar Fathur Sani, Rinto Priambodo, Wisma Chaerul Karunianto, Mgs M. Luthfi Ramadhan, Muhammad Febrian Rachmadi, Wisnu Jatmiko
Modified MultiResUNet for Left Ventricle Segmentation from Echocardiographic Images. IWBIS (2022)
Lhuqita Fazry, Asep Haryono, Nuzulul Khairu Nissa, Sunarno, Naufal Muhammad Hirzi, Muhammad Febrian Rachmadi, Wisnu Jatmiko
Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. IWBIS (2022)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Rizal Maulana, Joanna M. Wardlaw, Stephen D. Makin, Henrik Skibbe
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)
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)
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)
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
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 (2020)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. Medical Image Anal. 63 (2020)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. MICCAI (3) (2019)
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 (2019)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Carol Di Perri, Taku Komura
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 (2018)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Taku Komura
Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. MICCAI (3) (2018)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Taku Komura
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)
Dewa Made Sri Arsa, M. Anwar Ma'sum, Muhammad Febrian Rachmadi, Wisnu Jatmiko
Optimization of Stacked Unsupervised Extreme Learning Machine to improve classifier performance. IWBIS (2017)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Taku Komura
Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. MIUA (2017)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Taku Komura
Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology. J. Imaging 3 (4) (2017)