#rueckert
MCML at MICCAI 2025
44 Accepted Papers (25 Main, and 19 Workshops)
We are happy to announce that MCML researchers have contributed a total of 44 papers to MICCAI 2025: 25 Main, and 19 Workshop papers. Congrats to our researchers!
01.09.2025
AI for Personalized Psychiatry - With Researcher Clara Vetter
Research Film
Can AI help us understand why some people develop mental disorders while others remain resilient? MCML Junior Member Clara Vetter, PhD candidate in the group of our Director Daniel Rückert, uses machine learning to uncover hidden patterns in brain …
29.07.2025
AI Research by Daniel Rückert Improves Medical Imaging and Data Privacy
TUM News
MCML Director Daniel Rückert and his team are developing AI technologies to improve diagnostic imaging and protect patient data. Their research includes federated learning approaches that allow models to learn from clinical data without sharing …
MCML at CVPR 2025
35 Accepted Papers (29 Main, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 35 papers to CVPR 2025: 29 Main, and 6 Workshop papers. Congrats to our researchers!
04.06.2025
Daniel Rückert Elected Fellow of the Royal Society
Over 90 Scientists Elected as Royal Society Fellows in 2025
MCML Director Daniel Rückert has been elected to the Fellowship of the Royal Society, UK’s national academy of sciences, in recognition of his contributions to artificial intelligence in medicine and healthcare. The Fellowship is awarded to …
MCML at ICLR 2025
52 Accepted Papers (35 Main, and 17 Workshops)
We are happy to announce that MCML researchers have contributed a total of 52 papers to ICLR 2025: 35 Main, and 17 Workshop papers. Congrats to our researchers!
MCML Researchers With 130 Papers in Highly-Ranked Journals
We are happy to announce that MCML researchers are represented in 2025 with 130 papers in highly-ranked journals. Congrats to our researchers!
17.12.2024
Daniel Rückert Advances Stroke Diagnosis With AI Innovation
TUM News
MCML Director Daniel Rückert and his collaborators have achieved a groundbreaking milestone in medical AI. Their innovative model uses machine learning to precisely determine the timing of strokes based on CT imaging. This advancement is critical for …
11.12.2024
Daniel Rückert Receives Leibniz Prize
TUM News
MCML Director Daniel Rückert receives the Gottfried Wilhelm Leibniz Prize 2025. He is being honored for his research on AI-assisted medical imaging. The most important German research prize is endowed with 2.5 million euros by the German Research …
22.10.2024
Daniel Rückert Receives MICCAI Society’s Enduring Impact Award
MICCAI 2024 in Marrakesh
Our Director Daniel Rückert has been honored with the prestigious MICCAI Society’s 2024 Enduring Impact Award, which recognizes individuals who have made significant and lasting contributions to the fields of medical image computing and …
MCML at MICCAI 2024
26 Accepted Papers (9 Main, and 17 Workshops)
We are happy to announce that MCML researchers have contributed a total of 26 papers to MICCAI 2024: 9 Main, and 17 Workshop papers. Congrats to our researchers!
MCML at ECCV 2024
29 Accepted Papers (23 Main, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 29 papers to ECCV 2024: 23 Main, and 6 Workshop papers. Congrats to our researchers!
25.07.2024
Daniel Rückert About the Suitability of Chatbots in Hospitals
TUM Research
This short article focuses on the current work of MCML Director Daniel Rückert and his team, who studied the suitability of AI chatbots in hospitals. While seeing potential in certain areas, the team concluded that chatbots would currently put …
MCML at ICML 2024
24 Accepted Papers (17 Main, and 7 Workshops)
We are happy to announce that MCML researchers have contributed a total of 24 papers to ICML 2024: 17 Main, and 7 Workshop papers. Congrats to our researchers!
06.03.2024
Daniel Rückert on How Datasecurity in AI in Medicine Can Be Realized
TUM Magazine "Faszination Forschung"
The current issue of the TUM magazine “Faszination Forschung” takes a closer look at the work of our Director Daniel Rückert. With his team, he strives to train medical AI in a way that ensures both patient data privacy and the impartiality of the AI …
26.02.2024
Get to Know MCML Junior Member Clara Sophie Vetter
Created During the First MCMLxDJS-Workshop
In her research, MCML Junior Member Clara Sophie Vetter, PhD candidate in the group of our Director Daniel Rückert, wants to find out how depression and psychosis are linked - with the help of artificial intelligence. In the “Precision Psychiatry” …
MCML Researchers With 93 Papers in Highly-Ranked Journals
We are happy to announce that MCML researchers are represented in 2024 with 93 papers in highly-ranked journals. Congrats to our researchers!
MCML at NeurIPS 2023
21 Accepted Papers (15 Main, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 21 papers to NeurIPS 2023: 15 Main, and 6 Workshop papers. Congrats to our researchers!
MCML at MICCAI 2023
Seven Accepted Papers (2 Main, and 5 Workshops)
We are happy to announce that MCML researchers have contributed a total of 7 papers to MICCAI 2023: 2 Main, and 5 Workshop papers. Congrats to our researchers!
MCML at ICCV 2023
Eleven Accepted Papers (9 Main, and 2 Workshops)
We are happy to announce that MCML researchers have contributed a total of 11 papers to ICCV 2023: 9 Main, and 2 Workshop papers. Congrats to our researchers!
MCML Researchers With 43 Papers in Highly-Ranked Journals
We are happy to announce that MCML researchers are represented in 2023 with 43 papers in highly-ranked journals. Congrats to our researchers!
MCML at MICCAI 2022
Five Accepted Papers (1 Main, and 4 Workshops)
We are happy to announce that MCML researchers have contributed a total of 5 papers to MICCAI 2022: 1 Main, and 4 Workshop papers. Congrats to our researchers!
MCML at NeurIPS 2021
Seven Accepted Papers (2 Main, and 5 Workshops)
We are happy to announce that MCML researchers have contributed a total of 7 papers to NeurIPS 2021: 2 Main, and 5 Workshop papers. Congrats to our researchers!
