E-LIB Suche - Ergebnisse für: Storkey, Amos

1

Choroidalyzer: An Open-Source, End-to-End Pipeline for Chor..:

Engelmann, Justin ; Burke, Jamie ; Hamid, Charlene...
Investigative Ophthalmology & Visual Science. 65 (2024) 6 - p. 6 , 2024

Link: https://doi.org/10.1167/..

2

Can deep learning on retinal images augment known risk fact..:

Mellor, Joseph ; Jiang, Wenhua ; Fleming, Alan...
International Journal of Medical Informatics. 175 (2023) - p. 105072 , 2023

Link: https://doi.org/10.1016/..

3

Few-Shot Learning With Class Imbalance:

Ochal, Mateusz ; Patacchiola, Massimiliano ; Vazquez, Jose..
IEEE Transactions on Artificial Intelligence. 4 (2023) 5 - p. 1348-1358 , 2023

Link: https://doi.org/10.1109/..

4

Toward real-world automated antibody design with combinator..:

Khan, Asif ; Cowen-Rivers, Alexander I. ; Grosnit, Antoine...
Cell Reports Methods. 3 (2023) 1 - p. 100374 , 2023

Link: https://doi.org/10.1016/..

5

QuickQual: Lightweight, Convenient Retinal Image Quality Sc..:

, In: Ophthalmic Medical Image Analysis; Lecture Notes in Computer Science,

Engelmann, Justin ; Storkey, Amos ; Bernabeu, Miguel O. - p. 32-41 , 2023

Link: https://doi.org/10.1007/..

6

An Open-Source Deep Learning Algorithm for Efficient and Fu..:

Burke, Jamie ; Engelmann, Justin ; Hamid, Charlene...
Translational Vision Science & Technology. 12 (2023) 11 - p. 27 , 2023

Link: https://doi.org/10.1167/..

7

Detecting multiple retinal diseases in ultra-widefield fund..:

Engelmann, Justin ; McTrusty, Alice D. ; MacCormick, Ian J. C....
Nature Machine Intelligence. 4 (2022) 12 - p. 1143-1154 , 2022

Link: https://doi.org/10.1038/..

8

Prediction-Guided Distillation for Dense Object Detection:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,

Yang, Chenhongyi ; Ochal, Mateusz ; Storkey, Amos. - p. 123-138 , 2022

Link: https://doi.org/10.1007/..

9

Robust and Efficient Computation of Retinal Fractal Dimensi..:

, In: Ophthalmic Medical Image Analysis; Lecture Notes in Computer Science,

Engelmann, Justin ; Villaplana-Velasco, Ana ; Storkey, Amos. - p. 84-93 , 2022

Link: https://doi.org/10.1007/..

10

Deep attention super-resolution of brain magnetic resonance..:

Li, Bryan M. ; Castorina, Leonardo V. ; Valdés Hernández, Maria del C....
Frontiers in Computational Neuroscience. 16 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

11

Using Deep Learning to Model Elevation Differences between ..:

Horton, Alex ; Ewart, Martin ; Gourmelen, Noel..
Remote Sensing. 14 (2022) 24 - p. 6210 , 2022

Link: https://doi.org/10.3390/..

12

Substituting Convolutions for Neural Network Compression:

Crowley, Elliot J. ; Gray, Gavin ; Turner, Jack.
IEEE Access. 9 (2021) - p. 83199-83213 , 2021

Link: https://doi.org/10.1109/..

13

Meta-Learning in Neural Networks: A Survey:

Hospedales, Timothy M ; Antoniou, Antreas ; Micaelli, Paul.
IEEE Transactions on Pattern Analysis and Machine Intelligence. , 2021

Link: https://doi.org/10.1109/..

14

Optimizing Grouped Convolutions on Edge Devices:

, In: 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP),

Gibson, Perry ; Cano, Jose ; Turner, Jack... - p. 189-196 , 2020

Link: https://doi.org/10.1109/..

15

Performance Aware Convolutional Neural Network Channel Prun..:

, In: 2019 IEEE International Symposium on Workload Characterization (IISWC),

Radu, Valentin ; Kaszyk, Kuba ; Wen, Yuan... - p. 24-34 , 2019

Link: https://doi.org/10.1109/..