R.I.P.
π»
Ghosted
Seminar Innovation Management - Winter Term 2017
August 22, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Gerd HΓ€usler, Aleksandra Milczarek, Markus Schreiter, Thomas KΓ€stner, Florian Willomitzer, Andreas Maier, Florian Schiffers, Stefan Steidl, Temitope Paul Onanuga, Mathias Unberath, Florian DΓΆtzer, Maike StΓΆve, Jonas Hajek, Christian Heidorn, Felix HΓ€uΓler, Tobias Geimer, Johannes Wendel
arXiv ID
1708.09706
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
This document contains the results obtained by the Innovation Management Seminar in winter term 2017. In total 11 ideas have been developed by the team. In the document all 11 ideas show improvements for future applications in ophthalmology. The 11 ideas are AR/VR Glasses with Medical Applications, Augmented Reality Eye Surgery, Game Diagnosis, Intelligent Adapting Glasses, MD Facebook, Medical Crowd Segmentation, Personalized 3D Model of the Human Eye, Photoacoustic Contact Lens, Power Supply Smart Contact Lens, VR-Cornea and Head Mount for Fundus Imaging
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted