CALHippo - Mapping neurons and glial cells in the human brain hippocampus in 3D using SOTA segmentation and density estimation models [R]

Reddit r/MachineLearning Papers

Summary

This paper presents CALHippo, a framework for 3D mapping of neurons and glial cells in the human hippocampus using state-of-the-art segmentation and density estimation models.

No content available
Original Article

Similar Articles

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation

arXiv cs.AI

Introduces BrainG3N, a dual-purpose tokenizer for 3D brain MRI latent diffusion using a frozen masked autoencoder encoder for clinically informative embeddings and a CNN decoder for reconstruction, achieving state-of-the-art performance on a 23-task benchmark and enabling controllable generation and longitudinal forecasting.

Ultrasound Imaging of the Brain

Hacker News Top

Aleph Neuro announces the first 3D image of a living human brain using ultrasound localization microscopy through the skull, achieving 100 times greater volumetric resolution than CT. The company open-sources its imaging pipeline and dataset.

A Simulated Federated Analysis of MS-Induced Brain Lesions

arXiv cs.LG

This paper introduces a simulation framework for federated analysis of Multiple Sclerosis brain lesions, combining image segmentation with clinical data analysis to test federated learning methods while preserving patient privacy.