-
## Software Engineer, Medical Imaging
- Applied once
Neuralink is seeking a creative and motivated engineer to develop novel multi-modal medical imaging software suite for planning and control of …
-
### Description
Design a Arcana analysis class that implements structural MRI preprocessing and analysis to be used stand-alone or as inputs to other pipelines (i.e dMRI, fMRI, etc.)
### Benefit H…
-
Hey,
first of all I wanted to express how impressed I'm about your work.
I wondered if you could release a mapping for the segmentation you provided in the FMB dataset.
By that I mean sth. li…
-
https://pycroscopy.github.io/pycroscopy/about.html
> pycroscopy is a python package for **image processing** and scientific **analysis** of imaging modalities such as multi-frequency scanning probe…
-
This issue raises two distinct but connected issues.
In #400 work on the pdf rendering, each section has to be treated as a "Chapter" and is explicitly given a "Chapter ?" number. As we *already* …
-
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
论文：https://arxiv.org/pdf/1603.08486v1.pdf
代码：
Interleaved text/image deep mining on a very largesc…
-
# Leveraging telehealth in underserved populations for open data research
***By Linda Larson-Prior, University of Arkansas for Medical Sciences***
- Theme: Open Data 2.0
- Format: Lightning talk
## …
-
**Context**
We often train multi-modal deep learning models (in our case, various contrasts of MRI, e.g. T1(ce), T2, T2*, FLAIR, etc) to take advantage of the complementary information that these mod…
-
The initial logic of the rendering plugin has been primarily driven by the high-content screening use case i.e. fairly homogeneous imaging datasets where a single rendering file can be applied to all …
-
We conducted a reader study with 2 different reading conditions using two datasets, each containing 30 exams with a 1:1 ratio of malignant to normal cases. Each of the 37 readers participated in a sin…