Newsletter
Sign up for the Fund's newsletter and get the lastest news, calls and events
| Titel Sort descending | Periode | Program | |
|---|---|---|---|
| Deep Generative Models for Dental Scans and Dental Treatments | 2022 - 2025 | Industrial Researcher
|
|
|
Deep Generative Models for Dental Scans and Dental Treatments
Period
2022 - 2025
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
43.89 Invested
1.1 mill. Budget
2.4 mill. Partners
Technical University of Denmark, 3SHAPE A/S People
3SHAPE A/S
Read more about the project
| |||
| Deep Learning based Voice Conversion for AVATAR Therapy | 2023 - 2026 | Industrial Researcher
|
|
|
Deep Learning based Voice Conversion for AVATAR Therapy
Period
2023 - 2026
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
61.47 Invested
1.1 mill. Budget
1.7 mill. Dette projekt opbygger deep learning baserede voice conversion algoritmer til optimeringen af AVATAR terapi - et terapeutisk VR-værktøj, der hjælper mennesker som lider af auditive hallucinationer i deres behandling af ondsindede stemmer. Projektet består af: 1. Research og begyndende implementering af relaterede projekter. 2. Design og opbygning af en voice-conversion model baseret på DDSP, integreret i virtual reality. 3. Validering af modellen baseret på psykiatere og patienter.
Partners
Aalborg University, Khora ApS People
Read more about the project
| |||
| Deep learning enhanced carbon-13 metabolic MRI | 2020 - 2023 | Industrial Researcher
|
|
|
Deep learning enhanced carbon-13 metabolic MRI
Period
2020 - 2023
Region
Region Hovedstaden Program
Erhvervsforsker Area
Biotek, Medico og Sundhed Investment
Percentage
100 Invested
1.2 mill. Budget
1.2 mill. Partners
Aarhus University, GE HEALTHCARE DANMARK A/S People
GE HEALTHCARE DANMARK A/S
Read more about the project
| |||
| Deep learning for identifying biomarkers in medical images | 2022 - 2025 | Industrial Researcher
|
|
|
Deep learning for identifying biomarkers in medical images
Period
2022 - 2025
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
52.74 Invested
1.2 mill. Budget
2.4 mill. Partners
Technical University of Denmark, NOVO NORDISK A/S - VTx People
NOVO NORDISK A/S - VTx
Read more about the project
| |||
| Deep Learning Generative Models for Content Structuring | 2019 - 2022 | Industrial Researcher
|
|
|
Deep Learning Generative Models for Content Structuring
Period
2019 - 2022
Region
Region Hovedstaden Program
Erhvervsforsker Area
Handel, Service og Samfund Investment
Percentage
73.17 Invested
1.1 mill. Budget
1.5 mill. Partners
IT University of Copenhagen, Tjek A/S People
Tjek A/S
Read more about the project
| |||
| Deep learning methods and tools for histology based cancer research and diagnostics | 2018 - 2021 | Industrial Researcher
|
|
|
Deep learning methods and tools for histology based cancer research and diagnostics
Period
2018 - 2021
Region
Region Hovedstaden Program
Erhvervsforsker Area
Biotek, Medico og Sundhed Investment
Percentage
58.61 Invested
1.1 mill. Budget
1.8 mill. Partners
Technical University of Denmark, VISIOPHARM A/S People
VISIOPHARM A/S
Read more about the project
| |||
| Deep learning model predictive control for reduction of N2O emissions from WWTPs | 2021 - 2024 | Industrial Researcher
|
|
|
Deep learning model predictive control for reduction of N2O emissions from WWTPs
Period
2021 - 2024
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
46.46 Invested
1.1 mill. Budget
2.3 mill. Partners
Aalborg University, KRÜGER A/S People
KRÜGER A/S
Read more about the project
| |||
| Deep Learning Techniques for Scalable Map Production | 2021 - 2023 | Innobooster
|
|
|
Deep Learning Techniques for Scalable Map Production
Period
2021 - 2023
Region
Region Nordjylland Program
Innobooster Area
Ikke defineret Investment
Percentage
33 Invested
1.2 mill. Budget
3.7 mill. Partners
MapsPeople A/S People
MAPSPEOPLE A/S
Read more about the project
| |||
| Deep Lex - Et juridisk softwareværktøj bygget på kunstig intelligens, som assisterer praktikere og akademikere med subsumption og flytter rammerne for undervisning. | 2019 - 2020 | Innofounder
|
|
|
Deep Lex - Et juridisk softwareværktøj bygget på kunstig intelligens, som assisterer praktikere og akademikere med subsumption og flytter rammerne for undervisning.
Period
2019 - 2020
Region
Region Hovedstaden Program
Innofounder Area
Handel, Service og Samfund Investment
Percentage
100 Invested
645.000 Budget
645.000 Partners
Deep Lex ApS People
Deep Lex ApS
Read more about the project
| |||
| Deep Lex: Intelligent processering af ansættelseskontrakter. | 2020 - 2021 | Innobooster
|
|
|
Deep Lex: Intelligent processering af ansættelseskontrakter.
Period
2020 - 2021
Region
Region Hovedstaden Program
Innobooster Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
23.57 Invested
343.000 Budget
1.5 mill. Partners
Deep Lex ApS People
Aktiv
Read more about the project
| |||
| Deep Machine Learning & inspektion i Augmented Reality af understøtningsstilladser på byggepladser | 2020 - 2021 | Innobooster
|
|
|
Deep Machine Learning & inspektion i Augmented Reality af understøtningsstilladser på byggepladser
Period
2020 - 2021
Region
Region Midtjylland Program
Innobooster Area
Ikke defineret Investment
Percentage
30.3 Invested
499.950 Budget
1.7 mill. Partners
PASCHAL-Danmark A/S People
PASCHAL-DANMARK A/S
Read more about the project
| |||
| Deep Sea Micro Plastic Particle Pump | 2022 - 2023 | Innobooster
|
|
|
Deep Sea Micro Plastic Particle Pump
Period
2022 - 2023
Region
Program
Innobooster Area
Ikke defineret Investment
Percentage
35 Invested
385.000 Budget
1.1 mill. Partners
KC Denmark A/S People
Read more about the project
| |||
| Deep visual odometry for underwater intervention drones | 2024 - 2027 | Industrial Researcher
|
|
|
Deep visual odometry for underwater intervention drones
Period
2024 - 2027
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
49.48 Invested
1.2 mill. Budget
2.5 mill. Dette projekt har til formål at forbedre autonomien af undervandsrobotter ved at forbedre deres evne til at forstå deres placering og omgivelser gennem avancerede visuelle teknikker til simultan lokalisering og kortlægning (SLAM). Ved at udnytte deep learning sigter projektet mod at overgå nuværende metoder, med fokus på AI-drevet billedbehandling for præcis og pålidelig kortlægning og lokalisering, hvilket sætter nye industristandarder med et betydeligt markedspotentiale for marineteknologi.
Partners
IT University of Copenhagen, EIVA A/S People
Read more about the project
| |||
| DeepBone: Deep Learning Based Detection of Surgical Site Infections in Orthopaedic Patients | 2021 - 2021 | Innoexplorer
|
|
|
DeepBone: Deep Learning Based Detection of Surgical Site Infections in Orthopaedic Patients
Period
2021 - 2021
Region
Region Nordjylland Program
Innoexplorer Area
Biotek, Medico og Sundhed Investment
Percentage
100 Invested
1.4 mill. Budget
1.4 mill. Partners
Aalborg Universitet, SLV312 People
Aalborg Universitet, SLV312
Read more about the project
| |||
| DeepRIS: Deep Learning Powered Reconfigurable Intelligent Surfaces for Wireless Communications | 2024 - 2025 | Innoexplorer
|
|
|
DeepRIS: Deep Learning Powered Reconfigurable Intelligent Surfaces for Wireless Communications
Period
2024 - 2025
Region
Program
Innoexplorer Area
Ikke defineret Investment
Percentage
100 Invested
1.5 mill. Budget
1.5 mill. Partners
Aalborg Universitet, FRB7B People
Read more about the project
| |||