Steven Hicks
Steven Hicks
PhD student at SimulaMet
Dirección de correo verificada de simula.no
TítuloCitado porAño
Medico multimedia task at MediaEval 2018
K Pogorelov, M Riegler, P Halvorsen, S Hicks, KR Randel, D Nguyen, ...
CEUR Workshop Proceedings, 2018
152018
Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain
SA Hicks, S Eskeland, M Lux, T de Lange, KR Randel, M Jeppsson, ...
Proceedings of the 9th ACM Multimedia Systems Conference, 369-374, 2018
92018
Visem: A multimodal video dataset of human spermatozoa
TB Haugen, SA Hicks, JM Andersen, O Witczak, HL Hammer, R Borgli, ...
Proceedings of the 10th ACM Multimedia Systems Conference, 261-266, 2019
62019
Dissecting deep neural networks for better medical image classification and classification understanding
S Hicks, M Riegler, K Pogorelov, KV Anonsen, T de Lange, D Johansen, ...
2018 IEEE 31st International Symposium on Computer-Based Medical Systems …, 2018
42018
Machine learning-based analysis of sperm videos and participant data for male fertility prediction
SA Hicks, JM Andersen, O Witczak, V Thambawita, P Halvorsen, ...
Scientific reports 9 (1), 1-10, 2019
32019
383 deep learning for automatic generation of endoscopy reports
S Hicks, PH Smedsrud, MA Riegler, T de Lange, A Petlund, SL Eskeland, ...
Gastrointestinal Endoscopy 89 (6), AB77, 2019
22019
Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis
SA Hicks, K Pogorelov, T de Lange, M Lux, M Jeppsson, KR Randel, ...
Proceedings of the 9th ACM Multimedia Systems Conference, 490-493, 2018
22018
Deep Learning Based Disease Detection Using Domain Specific Transfer Learning.
SA Hicks, PH Smedsrud, P Halvorsen, M Riegler
MediaEval, 2018
22018
Acm multimedia biomedia 2019 grand challenge overview
S Hicks, M Riegler, P Smedsrud, TB Haugen, KR Randel, K Pogorelov, ...
Proceedings of the 27th ACM International Conference on Multimedia, 2563-2567, 2019
12019
Artificial intelligence as a tool in predicting sperm motility and morphology: P-116
M Riegler, J Andersen, M Andersen, H Hammer, L Hammer, S Hicks, ...
Human Reproduction 34, 2019
12019
Artificial intelligence predicts sperm motility from sperm fatty acids: P-120
O Witczak, J Andersen, S Hicks, H Hammer, M Riegler, T Haugen
Human Reproduction 34, 2019
12019
Unsupervised preprocessing to improve generalisation for medical image classification
M Kirkerød, RJ Borgli, V Thambawita, S Hicks, MA Riegler, P Halvorsen
2019 13th International Symposium on Medical Information and Communication …, 2019
12019
A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI
E Eriksen, S Hicks, MA Riegler, P Halvorsen, V Carapella
2019 IEEE International Symposium on Multimedia (ISM), 216-2164, 2019
2019
Hyper-Kvasir: A Comprehensive Multi-Class Image and Video Dataset for Gastrointestinal Endoscopy
H Borgli, V Thambawita, PH Smedsrud, S Hicks, D Jha, SL Eskeland, ...
OSF Preprints, 2019
2019
One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression
JI Frogner, FM Noori, P Halvorsen, SA Hicks, E Garcia-Ceja, J Torresen, ...
Proceedings of the 4th International Workshop on Multimedia for Personal …, 2019
2019
Semantic Analysis of Soccer News for Automatic Game Event Classification
AJ Nordskog, P Halvorsen, S Hicks, HK Stensland, HL Hammer, ...
2019 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2019
2019
Mimir: An Automatic Reporting and Reasoning System for Screening of the Gastrointestinal Tract Using Deep Neural Networks
SA Hicks
2018
Special Track: Deep Learning Applications in Medical Care (DLAMC 2019)
A Aguilar, D Jha, F Majeed, H Müller, HL Hammer, K Pogorelov, S Hicks, ...
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Artículos 1–18