MRIQC
MRIQC is an open-source project that extracts no-reference image quality metrics (IQMs) from structural (T1w and T2w) and functional MRI data. It is modular and integrable, supporting various third-party software toolboxes.
詳細な紹介
MRIQC follows the Brain Imaging Data Structure (BIDS) and adopts the BIDS-App standard. It ensures reliability and robustness through frequent testing and validation.
もっと研究
The Department of Psychology - Weissman School of Arts and Sciences | Baruch College | The City University of New York
The Department of Psychology at Baruch College (CUNY) offers a diverse range of courses and research opportunities in the fields of psychology, preparing students for careers in clinical, research, and applied psychology.
Kimi k1.5
Kimi k1.5 is an advanced multi-modal model trained with reinforcement learning (RL) that achieves state-of-the-art reasoning performance across multiple benchmarks and modalities. It outperforms existing models such as GPT-4o and Claude Sonnet 3.5 in short-CoT tasks by a large margin and matches OpenAI's o1 in long-CoT performance.
PubMed Central (PMC)
A free full‐text archive of biomedical and life sciences journal literature at the U.S. National Institutes of Health’s National Library of Medicine.