Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

Deep4MI

Financiado

Deep Learning for Medical Imaging Learning Clinically Useful Information from I...

Deep Learning for Medical Imaging Learning Clinically Useful Information from Images Medical imaging has revolutionized medicine and healthcare like no other recent technology, and is now an integral part of diagnosis, treatment planning, treatment delivery and follow-up. It provides an unparalleled ability to ima... ver más

31/12/2025

TUM-MED

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIV... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-09-11

ERC-2019-ADG: ERC Advanced Grant

I+D

Cerrada hace 5 años

0% 100% 100%

2 Participantes

TUM-MED

2.50M€ | Lider

S. COOP. LTDA. BAJO DUERO

376.50K€ | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

MIA-NORMAL Medical Image Analysis with Normative Machine Learning 2M€ Cerrado

RYC-2011-08174 Advanced Image Processing and Machine Learning for the Analy... 184K€ Cerrado

MIRA Next Generation Machine Intelligence for Medical Image Repre... 1M€ Cerrado

PID2021-122807OB-C33 METODOS AVANZADOS DE ANALISIS DE BIOIMAGE PARA LA INVESTIGAC... 42K€ Cerrado

TIN2009-14536-C02-01 ANALISIS DE IMAGENES DE ALTO RENDIMIENTO MEDIANTE MODELOS ES... 282K€ Cerrado

AUTO.DISTINCT A fully automated deep learning based software for fast rob... 150K€ Cerrado

Duración del proyecto: 63 meses Fecha Inicio: 2020-09-11
Fecha Fin: 2025-12-31

Líder del proyecto

KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIV... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto Medical imaging has revolutionized medicine and healthcare like no other recent technology, and is now an integral part of diagnosis, treatment planning, treatment delivery and follow-up. It provides an unparalleled ability to image anatomy and function with high spatial (and temporal) resolution. Its success has led to a dramatic increase in the number of medical imaging examinations. Despite this success, medical imaging is often stressful for patients, requires patient cooperation and is difficult in the presence of motion (e.g. patient motion or breathing motion). Furthermore, even more than 100 years after the discovery of X-rays, the interpretation of medical images relies almost exclusively on human experts. All of the above mean that there is a strong need for increased automation and quantification in order to reduce costs, increase efficiency and patient-friendliness, and provide higher diagnostic and prognostic accuracy for clinical decision making. At the same time, machine learning and deep learning techniques have made significant advances and have started to make a large impact in many real-world applications. The aim of this proposal is to exploit these advances to address the above challenges and to achieve a paradigm shift in the way information is extracted from medical images for diagnostics, therapy and follow-up. We will do this by developing a transformative and synergistic approach to medical imaging in which acquisition, reconstruction, analysis and interpretation will be tightly coupled, with bidirectional feedback between the different stages, in order to optimize the overall objective of the imaging pipeline: Extracting clinically useful and actionable information. To achieve this step change, the project aims to develop novel deep learning approaches for image acquisition, reconstruction, analysis and interpretation that can be trained in an end-to-end fashion, allowing fast and more efficient imaging.

Conecta tu I+D

Entra hoy

¿Olvidó su contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores