Dataset Open Access
Dataset for Unrolled-DOT: An Interpretable Deep Network for Diffuse Optical Tomography
Zhao, Yongyi;
Raghuram, Ankit;
Wang, Fay;
Kim, Stephen Hyunkeol;
Hielscher, Andreas;
Robinson, Jacob T.;
Veeraraghavan, Ashok
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).
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
(5.6 GB)
| Name | Size | |
|---|---|---|
|
5_29_21_src-det_10x10_scene_4cm.zip
md5:183f1d530cb6420f0016308e847a6ca2 |
1.7 GB | Download |
|
allTrainingDat_30-Sep-2021.mat
md5:beb7faa737da1041cff8bad32723ed70 |
3.9 GB | Download |
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downloads
| All versions | This version | |
|---|---|---|
| Views | 143 | 143 |
| Downloads | 23 | 23 |
| Data volume | 74.8 GB | 74.8 GB |
| Unique views | 114 | 114 |
| Unique downloads | 12 | 12 |
Indexed in
- Publication date:
- February 19, 2023
- DOI:
-
- Published in:
- Journal of Biomedical Optics: 28 pp. 036002 (3).
- Grants:
-
National Science Foundation:
- Collaborative Research: Computational Photo-Scatterography: Unraveling Scattered Photons for Bio-Imaging (1730574)
- License (for files):
- Creative Commons Attribution 4.0 International