7 citations · 19 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Breast mass classification in ultrasound based on Kendall's shape manifold
Michal Byra, Michael Andre
Morphological features play an important role in breast mass classification in sonography. While benign breast masses tend to have a well-defined ellipsoidal contour, shape of mali…
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning
Michal Byra, Tomasz Sznajder, Danijel Korzinek +4
Deep learning algorithms, especially convolutional neural networks, have become a methodology of choice in medical image analysis. However, recent studies in computer vision show t…
Added value of morphological features to breast lesion diagnosis in ultrasound
Michał Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wróblewska +1
Ultrasound imaging plays an important role in breast lesion differentiation. However, diagnostic accuracy depends on ultrasonographer experience. Various computer aided diagnosis s…