Deep learning in mesoscale brain microscopy image analysis: A review

R Chen, M Liu, W Chen, Y Wang, E Meijering - Computers in Biology and …, 2023 - Elsevier
Mesoscale microscopy images of the brain contain a wealth of information which can help
us understand the working mechanisms of the brain. However, it is a challenging task to …

From pixels to connections: exploring in vitro neuron reconstruction software for network graph generation

C Hoffmann, E Cho, A Zalesky, MA Di Biase - Communications Biology, 2024 - nature.com
Digital reconstruction has been instrumental in deciphering how in vitro neuron architecture
shapes information flow. Emerging approaches reconstruct neural systems as networks with …

Image2Points: A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction

J Cui, Y Wang, L Wen, P Zeng, X Wu… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
To obtain high-quality Positron emission tomography (PET) images while minimizing
radiation exposure, numerous methods have been proposed to reconstruct standard-dose …

3D Point-based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising

J Cui, Y Wang, L Zhou, Y Fei, J Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To obtain high-quality Positron emission tomography (PET) images while minimizing
radiation hazards, various methods have been developed to acquire standard-dose PET …

Refining Airway Segmentation Through Breakage Filling and Leakage Reduction Using Point Clouds

Y Hu, E Meijering, Y Song - 2024 IEEE/RSJ International …, 2024 - ieeexplore.ieee.org
Bronchoscopy reveals air passages and internal tissues for accurate diagnosis of various
lung diseases. Robot-assisted bronchoscopy using an airway tree model can help path …

Revisiting Point Cloud Completion: Are We Ready For The Real-World?

S Pathak, P Kumar, N Mboga, G Steenackers… - arxiv preprint arxiv …, 2024 - arxiv.org
Point clouds acquired in constrained and challenging real-world settings are incomplete,
non-uniformly sparse, or both. These obstacles present acute challenges for a vital task …

DINeuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction

YS Cheng, R Zhao, H Wang, H Peng, Y Lo… - arxiv preprint arxiv …, 2024 - arxiv.org
Reconstructing neuron morphology from 3D light microscope imaging data is critical to aid
neuroscientists in analyzing brain networks and neuroanatomy. With the boost from deep …

Development and application of optical microscopy tools for the study of axon guidance

L Wunderlich - 2024 - repository.cam.ac.uk
During their development, neurons extend axons towards their target cells, where they
branch to establish connections. The navigation of axons relies on the presence of chemical …

[CITATION][C] SCONet: Convolutional Occupancy Networks for multi-organ segmentation

M Jouvencel, R Kechichian, J Digne, S Valette - Medical Imaging with Deep Learning, 2024