International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021
] Filter: Autor gleich Shirahama, Kimiaki [Clear All Filters]
Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification
Sensors, 20, 15, 4271, 2020
A Polar Model for Fast Object Tracking in 360-Degree Camera Images
Multimedia Tools and Applications, 78, 7, 9275-9297, 2019
Labeling of Partially Occluded Regions via the Multi-Layer CRF
Multimedia Tools and Applications, 78, 2, 2551-2569, 2019
A general framework for sensor-based human activity recognition.
Computers in biology and medicine, 95, 248-260, 2018
Environmental microorganism classification using conditional random fields and deep convolutional neural networks
Pattern Recognition, 77, 248-261, 2018
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.
Sensors (Basel, Switzerland), 18, 2, 2018
English
DeutschMedizinische Informatik
an der Uni Lübeck studieren
Institutssekretariat
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Gebäude 64 (Informatik)
Ratzeburger Allee 160
23538 Lübeck
Deutschland
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Gebäude 64 (Informatik)
Ratzeburger Allee 160
23538 Lübeck
Deutschland