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Qianqian Fang /房骞骞/

@fanglab.org
13 followers 12 following 7 posts

🏠 FangLab: fanglab.org |💡Linkedin: linkedin.com/in/fangq 🎲 MCX: mcx.space | 📈 NeuroJSON: neurojson.org 💻 Github: github.com/fangq | 📷 Flickr: flickr.com/fangqq

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Qianqian Fang /房骞骞/ @fanglab.org · 17/02/2025
We are posting a dataset of 1500x 3D #MCX simulations of random domains at 5 photon levels - 1e5-1e9 at NeuroJSON.io neurojson.org/db/cotilab/M... it was part of our 2022 DL denoiser JBO paper doi.org/10.1117/1.JB... 1.5GB in size, reuse if you need datasets for training
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Qianqian Fang /房骞骞/ @fanglab.org · 16/02/2025
#Windows users, the entire MCX Suite v2025 (including mcx, mcxcl, mmc, mcxlab, mcxlabcl, mmclab) can now be installed using a single winget install command on Windows 10/11 winget install mcxstudio the installer will also automatically find your MATLAB and add path enjoy!
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Qianqian Fang /房骞骞/ @fanglab.org · 15/02/2025
Excited to announce that #MCX v2025 has finally arrived! github.com/fangq/mcx/re... MCX v2025 rolls out a critical bug fix, #222, affecting all simulations since v2023. Strongly recommend to upgrade Download it today from mcx.space/wiki/?Get
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Qianqian Fang /房骞骞/ @fanglab.org · 15/02/2025
In #Python 🐍, you only need jdata (pip install jdata) import jdata as jd data=jd.loadurl('https://neurojson.io:7777/cotilab/CSF_Neurophotonics_2025')
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Qianqian Fang /房骞骞/ @fanglab.org · 15/02/2025
If you want to access this dataset, in MATLAB, all you need is (github.com/NeuroJSON/js...), you can download it by data=loadjson('https://neurojson.io:7777/cotilab/CSF_Neurophotonics_2025');
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Qianqian Fang /房骞骞/ @fanglab.org · 15/02/2025
With Aiden's new paper, we start a new "tradition" of the lab by sharing the raw data for every new publication at NeuroJSON.io The full error maps, for 2x brain models (Colin27/5-layer head), 2x wavelengths (690nm/830nm), and 17 metrics at our NeuroJSON.io portal neurojson.org/db/cotilab/C...
neurojson.io
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Qianqian Fang /房骞骞/ @fanglab.org · 15/02/2025
Finally, our paper on revised CSF optical properties in diffusion solvers is now on #Neurophotonics TL;DR: use mus'=0.15/mm and physiological mua Congrats to Aiden Lewis for your first paper! doi.org/10.1117/1.NP...
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