29 citations · 37 across the 5 of their papers we have counts for
5 papers
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models
Michal Byra, Muhammad Febrian Rachmadi, Henrik Skibbe
In this work, we investigate the usefulness of vision-language models (VLMs) and large language models for binary few-shot classification of medical images. We utilize the GPT-4 mo…
White Matter Hyperintensities Segmentation Using Probabilistic TransUNet
Muhammad Noor Dwi Eldianto, Muhammad Febrian Rachmadi, Wisnu Jatmiko
White Matter Hyperintensities (WMH) are areas of the brain that have higher intensity than other normal brain regions on Magnetic Resonance Imaging (MRI) scans. WMH is often associ…
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
In this paper, we propose a novel two-component loss for biomedical image segmentation tasks called the Instance-wise and Center-of-Instance (ICI) loss, a loss function that addres…
Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation
Lhuqita Fazry, Asep Haryono, Nuzulul Khairu Nissa +4
The left ventricular of ejection fraction is one of the most important metric of cardiac function. It is used by cardiologist to identify patients who are eligible for lifeprolongi…
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 +4
We present the first automated pipeline to create an atlas of in situ hybridization gene expression in the adult marmoset brain in the same stereotaxic space. The pipeline consists…