Published February 19, 2023
| Version v1
Dataset
Open
Dataset for Unrolled-DOT: An Interpretable Deep Network for Diffuse Optical Tomography
Creators
- 1. Rice University
- 2. Columbia University
- 3. Columbia University Department of Radiology; New York University
- 4. New York University
Description
Official dataset repository for Unrolled-DOT: An Interpretable Deep Network for Diffuse Optical Tomography. The repository contains both the experimental dataset (allTrainingDat_30-Sep-2021.mat) as well as data that is a dependency for running our code (5_29_21_src-det_10x10_scene_4cm.zip).
Notes
This research was developed with funding from the Defense Advanced Research Projects Agency (DARPA) (Grant No. N66001-19-C-4020). The views, opinions and/or findings expressed are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. In addition, this project was also funded in part by the NSF Expeditions in Computing (Grant No. 1730574). Author Yongyi Zhao was supported by a training fellowship from the NLM Training Program (Grant No. T15LM007093); author Fay Wang was supported by a National Science Foundation Graduate Research Fellowship (Grant No. DGE-2036197). In addition, this project was also funded in part by the NSF CAREER award (Grant No. 1652633).
Files
5_29_21_src-det_10x10_scene_4cm.zip
Files
(5.6 GB)
| Name | Size | Download all |
|---|---|---|
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md5:183f1d530cb6420f0016308e847a6ca2
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1.7 GB | Preview Download |
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md5:beb7faa737da1041cff8bad32723ed70
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3.9 GB | Download |
Additional details
Funding
- Collaborative Research: Computational Photo-Scatterography: Unraveling Scattered Photons for Bio-Imaging 1730574
- U.S. National Science Foundation