Lena Maier-Hein
@lena-maier-hein.bsky.social
Head of Div. Intelligent Medical Systems (IMSY) at DKFZ, director of the National Center of Tumor Diseases (NCT) Heidelberg and @ellis.eu Health board member. Excited about Medical Imaging AI, Surgical Data Science, and Validation of A(G)Is.
Reposted by Lena Maier-Hein
Researchers from the DKFZ and Department of Anesthesiology at UKHD @ainsukhd.bsky.social are presenting an innovative approach that uses artificial intelligence and hyperspectral #imaging to enable faster #sepsis diagnosis directly at the bedside. @lena-maier-hein.bsky.social
t1p.de/b7vmz
t1p.de/b7vmz
Faster sepsis diagnosis through hyperspectral imaging and AI
Sepsis is one of the most dangerous medical emergencies. The condition is the result of a misdirected immune response to an infection, which can quickly lead to organ failure and death. Every hour cou...
t1p.de
July 21, 2025 at 8:52 AM
Researchers from the DKFZ and Department of Anesthesiology at UKHD @ainsukhd.bsky.social are presenting an innovative approach that uses artificial intelligence and hyperspectral #imaging to enable faster #sepsis diagnosis directly at the bedside. @lena-maier-hein.bsky.social
t1p.de/b7vmz
t1p.de/b7vmz
Reposted by Lena Maier-Hein
Meet @lena-maier-hein.bsky.social: Prof. at @dkfz.bsky.social, Dir. at @nct-heidelberg.bsky.social 🇩🇪ELLIS Fellow. She pioneered AI-enabled real-time imaging in laparoscopic surgery; recieved the 2024 German Cancer Award.
“Representation matters… Diversity drives innovation.”
#WomenInELLIS
“Representation matters… Diversity drives innovation.”
#WomenInELLIS
April 16, 2025 at 7:45 AM
Meet @lena-maier-hein.bsky.social: Prof. at @dkfz.bsky.social, Dir. at @nct-heidelberg.bsky.social 🇩🇪ELLIS Fellow. She pioneered AI-enabled real-time imaging in laparoscopic surgery; recieved the 2024 German Cancer Award.
“Representation matters… Diversity drives innovation.”
#WomenInELLIS
“Representation matters… Diversity drives innovation.”
#WomenInELLIS
Really excited about sharing this paper hot off the press: doi.org/10.1016/j.me...
Invited to MedIA as one of the top MICCAI 2023 papers it presents large-scale analyses and concrete solutions related to prevalence shifts in medical image classification: 1/
Invited to MedIA as one of the top MICCAI 2023 papers it presents large-scale analyses and concrete solutions related to prevalence shifts in medical image classification: 1/
February 28, 2025 at 11:02 AM
Really excited about sharing this paper hot off the press: doi.org/10.1016/j.me...
Invited to MedIA as one of the top MICCAI 2023 papers it presents large-scale analyses and concrete solutions related to prevalence shifts in medical image classification: 1/
Invited to MedIA as one of the top MICCAI 2023 papers it presents large-scale analyses and concrete solutions related to prevalence shifts in medical image classification: 1/
🗞️Hot off the press🗞️: doi.org/10.1016/j.me... published in MedIA. Many image analysis problems are ambiguous, but validation of solutions to inverse problems is far from trivial. In this paper we take inspiration from the field of object detection: 1/n
January 31, 2025 at 4:40 PM
🗞️Hot off the press🗞️: doi.org/10.1016/j.me... published in MedIA. Many image analysis problems are ambiguous, but validation of solutions to inverse problems is far from trivial. In this paper we take inspiration from the field of object detection: 1/n
Based on this #MICCAI2024 paper, we are currently preparing a new submission with a Bayesian approach to investigate the probability of false claims in medical imaging AI papers. The results are shocking… stay tuned⏰
Great collaboration with @gaelvaroquaux.bsky.social and O. Colliot
Great collaboration with @gaelvaroquaux.bsky.social and O. Colliot
Love this. Bold face numbers in a table don't cut it:
"For >60% of papers, the 2nd-ranked method was within the CI of the 1st-ranked method. Current publications typically don't provide sufficient evidence to support which models could be translated into clinical practice" arxiv.org/abs/2409.17763
"For >60% of papers, the 2nd-ranked method was within the CI of the 1st-ranked method. Current publications typically don't provide sufficient evidence to support which models could be translated into clinical practice" arxiv.org/abs/2409.17763
Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
Medical imaging is spearheading the AI transformation of healthcare. Performance reporting is key to determine which methods should be translated into clinical practice. Frequently, broad conclusions ...
arxiv.org
January 30, 2025 at 8:01 AM
Based on this #MICCAI2024 paper, we are currently preparing a new submission with a Bayesian approach to investigate the probability of false claims in medical imaging AI papers. The results are shocking… stay tuned⏰
Great collaboration with @gaelvaroquaux.bsky.social and O. Colliot
Great collaboration with @gaelvaroquaux.bsky.social and O. Colliot
🎊Super excited to see that Metrics Reloaded is one of the most popular recent Nature Methods papers: www.nature.com/articles/s41...
In the pipeline: Metrics Reloaded-Surgery and Metrics Reloaded - Reconstruction/Synthesis. And of course Metrics Revolutions 🤫
In the pipeline: Metrics Reloaded-Surgery and Metrics Reloaded - Reconstruction/Synthesis. And of course Metrics Revolutions 🤫
January 24, 2025 at 4:54 PM
🎊Super excited to see that Metrics Reloaded is one of the most popular recent Nature Methods papers: www.nature.com/articles/s41...
In the pipeline: Metrics Reloaded-Surgery and Metrics Reloaded - Reconstruction/Synthesis. And of course Metrics Revolutions 🤫
In the pipeline: Metrics Reloaded-Surgery and Metrics Reloaded - Reconstruction/Synthesis. And of course Metrics Revolutions 🤫
Hello Bluesky world🙋🏼♀️,
Let me start with good news: Superstar Shekoofeh Azizi, research lead at Google DeepMind, will visit us in Heidelberg next week and give a talk in our @ellis.eu / hd.ai / NCT data science seminar. You can register here: www.dkfz.de/en/datascien... (talk will not be recorded)
Let me start with good news: Superstar Shekoofeh Azizi, research lead at Google DeepMind, will visit us in Heidelberg next week and give a talk in our @ellis.eu / hd.ai / NCT data science seminar. You can register here: www.dkfz.de/en/datascien... (talk will not be recorded)
December 12, 2024 at 3:08 PM
Hello Bluesky world🙋🏼♀️,
Let me start with good news: Superstar Shekoofeh Azizi, research lead at Google DeepMind, will visit us in Heidelberg next week and give a talk in our @ellis.eu / hd.ai / NCT data science seminar. You can register here: www.dkfz.de/en/datascien... (talk will not be recorded)
Let me start with good news: Superstar Shekoofeh Azizi, research lead at Google DeepMind, will visit us in Heidelberg next week and give a talk in our @ellis.eu / hd.ai / NCT data science seminar. You can register here: www.dkfz.de/en/datascien... (talk will not be recorded)