activity
20122023
most citedMarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography

14 citations · 54 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023

PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches

Henrik Skibbe, Michal Byra, Akiya Watakabe +2

We introduce "PatchMorph," an new stochastic deep learning algorithm tailored for unsupervised 3D brain image registration. Unlike other methods, our method uses compact patches of…

cs.CV2023★ 1 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.CV2023★ 2 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…

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…

cs.CV2022★ 11 cited

Deep Neural Patchworks: Coping with Large Segmentation Tasks

Marco Reisert, Maximilian Russe, Samer Elsheikh +2

Convolutional neural networks are the way to solve arbitrary image segmentation tasks. However, when images are large, memory demands often exceed the available resources, in parti…

cs.CV2018★ 9 cited

HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI

Marco Reisert, Volker A. Coenen, Christoph Kaller +2

In this work we propose HAMLET, a novel tract learning algorithm, which, after training, maps raw diffusion weighted MRI directly onto an image which simultaneously indicates tract…