Name
Title | ||
|---|---|---|
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. |
Abstract | ||
|---|---|---|
Incorporation of prior knowledge about organ shape and location is key to improve performance of image analysis approaches. In particular, priors can be useful in cases where images are corrupted and contain artefacts due to limitations in image acquisition. The highly constrained nature of anatomical objects can be well captured with learning-based techniques. However, in most recent and promisin... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMI.2017.2743464 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Image segmentation,Shape,Biomedical imaging,Computational modeling,Image resolution,Artificial neural networks,Motion segmentation | Journal | 37 |
Issue | ISSN | Citations |
2 | 0278-0062 | 43 |
PageRank | References | Authors |
1.51 | 28 | 14 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ozan Oktay | 1 | 280 | 20.15 |
| Enzo Ferrante | 2 | 174 | 13.61 |
| Konstantinos Kamnitsas | 3 | 361 | 15.18 |
| Mattias P. Heinrich | 4 | 873 | 53.64 |
| Wenjia Bai | 5 | 445 | 35.84 |
| Jose Caballero | 6 | 663 | 22.59 |
| Ricardo Guerrero | 7 | 43 | 1.51 |
| Stuart A Cook | 8 | 111 | 8.45 |
| Antonio de Marvao | 9 | 60 | 4.27 |
| Timothy Dawes | 10 | 79 | 5.34 |
| Declan P. O'Regan | 11 | 258 | 16.33 |
| Bernhard Kainz | 12 | 179 | 20.50 |
| Ben Glocker | 13 | 2157 | 119.81 |
| Daniel Rueckert | 14 | 9338 | 637.58 |