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Aris Sotiras

@asotiras.bsky.social

2 followers 5 following 7 posts

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Reposted by Aris Sotiras

Imaging Neuroscience @imagingneurosci.bsky.social · 12/09/2026

New paper in Imaging Neuroscience by Abdalla Bani, Aristeidis Sotiras, et al: Taming dimensionality in big neuroimaging data: Efficient orthonormal projective NMF via stochastic learning and data compression doi.org/10.1162/IMAG...

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Reposted by Aris Sotiras

Scientific American @sciam.bsky.social · 04/02/2026

An “extraordinary” brain network discovery shows that Parkinson’s disease may not be a movement disorder after all

scientificamerican.com

Scientists discover brain network that may cause Parkinson’s disease

An “extraordinary” brain network discovery shows that Parkinson’s disease may not be a movement disorder after all

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Reposted by Aris Sotiras

Scientific American @sciam.bsky.social · 04/02/2026

Scientists just discovered a key brain network affected by Parkinson’s disease. The finding could change how doctors understand symptoms and lead to better treatments. 🧠 bit.ly/4qdpLMf

"Parkinson’s is not just a movement problem involving one body part. This study shows it is a whole-body brain network disorder that links movement, thinking, arousal and internal body control." —Michael Okun, neurologist at the University of Florida and medical director of the Parkinson’s Foundation

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Aris Sotiras @asotiras.bsky.social · 07/02/2026

excellent work showing how SCAN is related to Parkinson’s disease! www.nature.com/articles/s41...

nature.com

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Aris Sotiras @asotiras.bsky.social · 29/10/2025

Huge thanks to Jin's co-supervisor Dan Marcus, his PhD committee, collaborators and the Imaging Science PhD Program. We’re immensely proud of Jin’s hard work, rigor, and perseverance. We are excited to see what he will accomplish next . 👏 #PhDDefense #DeepLearning #ProudAdvisor

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Aris Sotiras @asotiras.bsky.social · 29/10/2025

📄 ASFDA (#MICCAI2025): Investigates Active Source-Free Domain Adaptation for medical segmentation. Selects the most informative target samples via Image Sensitivity & Organ Heterogeneity queries, boosting performance without access to source data. t.co/qu0tHpSiQI

t.co

https://doi.org/10.1007/978-3-032-04978-0_1

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Aris Sotiras @asotiras.bsky.social · 29/10/2025

📄D-Net (Biomed Signal Process Control 2026): A novel Dynamic Large-Kernel Transformer integrating adaptive feature fusion for 3D organ and tumor segmentation. Superior segmentation performance across several tasks, with lower computational complexity. doi.org/10.1016/j.bspc

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Aris Sotiras @asotiras.bsky.social · 29/10/2025

📄 DMC-Net (Biomed Signal Process Control 2025): Introduced Dynamic Multi-Scale and Multi-Resolution Convolutions to better capture organ variability. Achieved state-of-the-art pancreas segmentation while keeping computation lightweight and efficient. doi.org/10.1016/j.bs...

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Aris Sotiras @asotiras.bsky.social · 29/10/2025

His thesis advanced the field of deep learning for medical image segmentation, developing high-performance, data-efficient methods for organ and lesion segmentation and for adapting models across imaging domains and modalities. 📚 Selected publications from his thesis work👇

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Aris Sotiras @asotiras.bsky.social · 29/10/2025

🎓 Congratulations Dr. Jin Yang! Jin successfully defended his PhD thesis, "The Development of Deep-Learning-Based Automatic Multi-Organ Segmentation Models from CT Images and their Clinical Evaluation", as part of the Imaging Science PhD Program at WashU!

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Reposted by Aris Sotiras

Nasia Metoki @nasiametoki.bsky.social · 07/10/2025

Is resting-state functional connectivity (rsFC), cortical thickness (CT), or cortical volume more effective at capturing sex and gender differences in the brains of preadolescents? Check out our new article (doi.org/10.1016/j.dc...) now out in Developmental Cognitive Neuroscience.

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