most citedImproving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function

6 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV20231 cited

Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain

Michal Byra, Charissa Poon, Tomomi Shimogori +1

We propose a novel image registration method based on implicit neural representations that addresses the challenging problem of registering a pair of brain images with similar anat…

cs.CV20232 cited

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…

eess.IV20236 cited

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…

cs.CV2023

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…