dataset-uta4-dicom
sa-uta11-results
| dataset-uta4-dicom | sa-uta11-results | |
|---|---|---|
| 1 | 3 | |
| 16 | 1 | |
| - | - | |
| 3.2 | 5.3 | |
| over 3 years ago | about 1 year ago | |
| CSS | HTML | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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dataset-uta4-dicom
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Why is it so hard to find DICOMs with Inversion Times recorded?
I've been searching for MR Images of anything that comes in DICOM format and have Inversion Time. I tried getting the fastMRI data set, the Visible Human Project and the UTA4 Dataset and NONE of them had DICOMs with Inversion Time recorded. Does anyone know why this is the case?
sa-uta11-results
- Personalized AI Communication in Healthcare: Our Latest Research Findings
- [R] Breaking Ground in Machine Learning for Healthcare: Our Paper on Personalized Communication for Breast Cancer Diagnosis at #CHI2023
- Excited to Present our Work on Assertiveness-Based Agent Communication for a Personalized Radiology at CHI 2023
What are some alternatives?
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
stripnet - STriP Net: Semantic Similarity of Scientific Papers (S3P) Network
cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM
tiddlyresearch - Local and Anki-compatible note-taking tool based on TiddlyWiki
GDCM - Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm
tcow - Tracking through Containers and Occluders in the Wild (CVPR 2023) - Official Implementation
deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Amber-Heard_Disinformation_Operations_Bots - Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners create systems to help online - including specialized and accurate rescue, quality custom, data analysis, social network analysis, forensics, research, and public safety technologies - with focus on the victim primarily & her environment.