# Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hough-cnn-deep-learning-for-segmentation-of-deep-brain-regions-in-mri-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fausto Milletarì,Seyed‐Ahmad Ahmadi,Christine Kroll,Annika Plate,Verena Rozanski,Juliana Maiostre,Johannes Levin,Olaf Dietrich,Birgit Ertl‐Wagner,Kai Bötzel,Nassir Navab |
| Citations | 383 |
| DOI | 10.1016/j.cviu.2017.04.002 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2292862470 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Birgit Ertl‐Wagner](https://scholariq.org/researchers/birgit-ertl-wagner/)

## Paper primary topic

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

## Paper topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.