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1 | 1 | --- |
2 | | -title: Deep MI Lab |
3 | | -layout: home |
4 | | -group: home |
| 2 | +layout: splash |
| 3 | +title: "Deep Medical Imaging Lab" |
| 4 | +permalink: / |
| 5 | +header: |
| 6 | + overlay_color: "#000" |
| 7 | + overlay_filter: "0.5" |
| 8 | + overlay_image: /static/img/deepmi.png |
| 9 | + actions: |
| 10 | + - label: "Our Research" |
| 11 | + url: "/research/" |
| 12 | + - label: "Publications" |
| 13 | + url: "/publications/" |
| 14 | +excerpt: "Advancing medical imaging through deep learning and AI" |
| 15 | +intro: |
| 16 | + - excerpt: "Our research focuses on the development of novel computational methods (deep learning, AI) for the automated analysis, segmentation, classification, diagnosis, and prognosis of medical imaging data to support the study of neurodegenerative diseases." |
| 17 | +feature_row: |
| 18 | + - image_path: /static/img/research/fastsurfer/01_teaser_white.png |
| 19 | + alt: "FastSurfer" |
| 20 | + title: "FastSurfer" |
| 21 | + excerpt: "Fast and accurate deep-learning based neuroimaging pipeline" |
| 22 | + url: "/research/fastsurfer/" |
| 23 | + btn_label: "Learn More" |
| 24 | + btn_class: "btn--primary" |
| 25 | + - image_path: /static/img/research/brainprint/brainprint_teaser.png |
| 26 | + alt: "BrainPrint" |
| 27 | + title: "BrainPrint" |
| 28 | + excerpt: "Shape analysis and asymmetry quantification of neuroanatomical structures" |
| 29 | + url: "/research/brainprint/" |
| 30 | + btn_label: "Learn More" |
| 31 | + btn_class: "btn--primary" |
| 32 | + - image_path: /static/img/research/fatsegnet/fatsegnet_teaser.png |
| 33 | + alt: "FatSegNet" |
| 34 | + title: "FatSegNet" |
| 35 | + excerpt: "Automated adipose tissue segmentation in Dixon MRI" |
| 36 | + url: "/research/fatsegnet/" |
| 37 | + btn_label: "Learn More" |
| 38 | + btn_class: "btn--primary" |
5 | 39 | --- |
6 | 40 |
|
7 | | -# Welcome to Deep MI Lab! |
8 | | -{: .display-4} |
| 41 | +{% include feature_row id="intro" type="center" %} |
9 | 42 |
|
10 | | -Our research focuses on the development of novel computational methods (deep learning, AI) for the automated analysis, segmentation, classification, diagnosis, and prognosis of medical imaging data to support the study of neurodegenerative diseases. |
11 | | -{: .welcomefont} |
| 43 | +## Our Affiliations |
12 | 44 |
|
13 | 45 | We are part of the: |
14 | | -{: .welcomefont} |
15 | 46 |
|
16 | 47 | - [German Center for Neurodegenerative Diseases, Bonn, Germany](https://www.dzne.de/en/research/research-areas/population-health-sciences/forschungsgruppen/reuter/research-areasfocus/) |
17 | 48 | - [Martinos Center for Biomedical Imaging, MGH/HMS Boston, USA](https://www.martinos.org/investigator/martin-reuter/) |
18 | | -- and associated to [MIT CSAIL](http://reuter.mit.edu). |
19 | | -{: .welcomefont} |
| 49 | +- and associated to [MIT CSAIL](http://reuter.mit.edu) |
| 50 | +{: .notice--info} |
| 51 | + |
| 52 | +{% include feature_row %} |
20 | 53 |
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