Media

Our engagement with the scientific community and the public is reflected in a diverse range of activities, including seminars, invited talks, conference presentations, and broad media coverage.

NCT Data Science Seminar

Logo for the Data Science Seminar featuring interconnected circles and dots in blue, green, and yellow colors, symbolizing data networks and collaboration. The text "DATA SCIENCE SEMINAR" is prominently displayed in a modern font. This represents a forum for discussing advancements in data science.

The NCT Data Science Seminar is a campus-wide effort bringing together thought-leading speakers and researchers in the field of data science to discuss both methodological advances as well as medical applications.

Hosts:

Prof. Dr. Lena Maier-Hein (Chair)

Prof. Dr. Klaus Maier-Hein

Prof. Dr. Oliver Stegle

Video recordings

Please refer to our YouTube channel for a selection of talks of our division. A selection of invited talks and conference presentations is provided below.

Invited talks

Lena Maier-Hein: Breaking the Wall of Surgical Imaging | Science Summit 2024

09/2024 (Lena Maier-Hein, Falling Walls Science Breakthroughs): Breaking the wall of surgical imaging

03/2024 (Lena Maier-Hein, Keynote SPIE Medical Imaging): Beyond the visible: the true state of AI in medical imaging

(Bench)mark: Pitfalls in AI Validation | Annika Reinke

06/2022 (Annika Reinke, DKFZ Data Science Seminar): (Bench)mark: Pitfalls in AI Validation

05/2022 (Lena Maier-Hein, Stanford's IBIIS & AIMI 2022 seminar series): Missing the (Bench)mark?

Challenges @ MICCAI 2021 | Lena Maier-Hein & Annika Reinke

09/2021 (Lena Maier-Hein & Annika Reinke, Challenges@MICCAI 2021)

Does Machine Learning Based Biomedical Image Analysis Require Domain Experts?

06/2021 (Lena Maier-Hein, Bay Vision Virtual Meetup): Does Machine Learning Based Biomedical Image Analysis Require Domain Experts?

Why Domain Knowledge is Crucial for Machine Learning-based Medical Image Analysis | Lena Maier-Hein

04/2021 (Lena Maier-Hein, freiburg.ai): Why Domain Knowledge is Crucial for ML-based Medical Image Analysis

Comparative validation of AI algorithms - common pitfalls and new concepts | Big-Data.AI Summit 2021

04/2021 (Lena Maier-Hein, Bitkom - Big-Data.AI Summit): Comparative validation of AI algorithms - common pitfalls and new concepts

Overview of MICCAI 2020 Challenges

10/2020 (Lena Maier-Hein, NVIDIA GTC): Overview of MICCAI 2020 Challenges

Vortrag Junges Forum BMT 2020: Surgical Data Science: KI im OP (Dr. Keno März)

09/2020 (Keno März, Junges Forum BMT 2020): Surgical Data Science: KI im OP

Annika Reinke: Is the winner really the best? Challenges in benchmarking competitions

08/2020 (Annika Reinke, Weiss AI in Surgery virtual mini-symposium): Is the winner really the best? Challenges in benchmarking competitions.

Successes and pitfalls in Benchmarking Biomedical Image Analysis Algorithms - Lena Maier-Hein

07/2020 (Lena Maier-Hein, BioMedIA Seminar Series, Imperial College London): Successes and pitfalls in Benchmarking Biomedical Image Analysis Algorithms

CVPR MCV 2020 - #3: "Uncertainty Handling in Surgical Data Science"

06/2020 (Lena Maier-Hein, CVPR - Medical Computer Vision Workshop): Uncertainty Handling in Surgical Data Science

06/2020 (Annika Reinke, BmWI Webkonferenz Datensouveränität und Dateninfrastrukturen): Covid-19 Challenges - Internationale Wettbewerbe zu den BIO-medizinischen Herausforderungen.

A speaker presents a slide titled "Surgical Data Science: von Eminenz- zu Evidenz-basierter Chirurgie?" in a professional setting. The slide lists the speaker's name and affiliation with dkfz, suggesting a discussion on the intersection of data science and evidence-based surgery.
A speaker presents a slide titled "Surgical Data Science: von Eminenz- zu Evidenz-basierter Chirurgie?" in a professional setting. The slide lists the speaker's name and affiliation with dkfz, suggesting a discussion on the intersection of data science and evidence-based surgery.

Surgical Data Science: von Eminenz- zu Evidenz-basierter Chirurgie?

05/2018 (Keno März, Symposium für Clinical Decision SUpport Aarau ): Surgical Data Science: von Eminenz- zu Evidenz-basierter Chirurgie?

Conference presentations

MICCAI Educational Challenge 2024: Validation Reloaded: Elevate your model validation

10/2024 (Annika Reinke, Ali Emre Kavur, MICCAI 2024): MICCAI Educational Challenge 2024: Validation Reloaded: Elevate your model validation

The image presents a slide titled "Self-distillation for surgical action recognition" by various authors from the Division of Intelligent Medical Systems at DKFZ, Heidelberg. The background is predominantly white with blue accents and text, focusing on research in surgical action recognition.
The image presents a slide titled "Self-distillation for surgical action recognition" by various authors from the Division of Intelligent Medical Systems at DKFZ, Heidelberg. The background is predominantly white with blue accents and text, focusing on research in surgical action recognition.

MICCAI2023 | Self-distillation for surgical action recognition - Yamlahi

10/2023 (Amine Yamlahi, MICCAI 2023): Self-distillation for surgical action recognition

The image presents a research poster titled "Semantic segmentation of surgical hyperspectral images under geometric domain shifts." It includes author names, affiliations, and logos from various institutions, highlighting collaborative research efforts in medical imaging and data science.
The image presents a research poster titled "Semantic segmentation of surgical hyperspectral images under geometric domain shifts." It includes author names, affiliations, and logos from various institutions, highlighting collaborative research efforts in medical imaging and data science.

MICCAI2023 | Semantic segmentation of surgical hyperspectral images under geometric domain shifts

10/2023 (Jan Sellner & Silvia Seidlitz, MICCAI 2023): Semantic segmentation of surgical hyperspectral images under geometric domain shifts

The image features a presentation slide titled "Deployment of Image Analysis Algorithms under Prevalence Shifts." It includes the names of the authors and organizations involved, along with a logo for the DKFZ. A person is visible in the top corner, likely presenting the slide.
The image features a presentation slide titled "Deployment of Image Analysis Algorithms under Prevalence Shifts." It includes the names of the authors and organizations involved, along with a logo for the DKFZ. A person is visible in the top corner, likely presenting the slide.

MICCAI2023 | Deployment of Image Analysis Algorithms under Prevalence Shifts - Godau & Kalinowski

10/2023 (Patrick Godau & Piotr Kalinowski, MICCAI 2023): Deployment of Image Analysis Algorithms under Prevalence Shifts

The image displays a presentation slide titled "Unsupervised Domain Transfer with Conditional Invertible Neural Networks," authored by Kris K. Dreher and others. It includes affiliations to various institutions, including the German Cancer Research Center. A speaker is visible in the upper right corner.
The image displays a presentation slide titled "Unsupervised Domain Transfer with Conditional Invertible Neural Networks," authored by Kris K. Dreher and others. It includes affiliations to various institutions, including the German Cancer Research Center. A speaker is visible in the upper right corner.

MICCAI2023 | Unsupervised Domain Transfer with Conditional Invertible Neural Networks - Dreher

10/2023 (Kris Dreher, MICCAI 2023): Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Title slide for a presentation on "Tattoo Tomography," discussing freehand 3D photoacoustic image reconstruction using an optical pattern. It includes the names of the authors and their affiliations with various research institutions in Heidelberg, Germany. A presenter can be seen in a video call.
Title slide for a presentation on "Tattoo Tomography," discussing freehand 3D photoacoustic image reconstruction using an optical pattern. It includes the names of the authors and their affiliations with various research institutions in Heidelberg, Germany. A presenter can be seen in a video call.

IPCAI 2021 #32 - Tattoo tomography: Freehand 3D photoacoustic image reconstruction

06/2021 (Niklas Holzwarth, IPCAI): Tattoo tomography: Freehand 3D photoacoustic image reconstruction

12/2020 (Dasha Trofimova, NeurIPS): Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks.

12/2020 (Patrick Godau, NeurIPS): Quantification of task similarity for efficient knowledge transfer in biomedical image analysis.

How to Organize a Challenge – Behind the Scenes

10/2020 (Annika Reinke, Matthias Eisenmann, Laura Aguilera, Sinan Onogur, Leonardo Ayala, Peter Full, MICCAI Educational Challenge): How to Organize a Challenge – Behind the Scenes

06/2020 (Leonardo Ayala, Silvia Seidlitz, IPCAI): Light source calibration for multispectral imaging in surgery.

10/2019 (Keno März, SMIT 2019 - New Technology Drives Medicine): What is Surgical Data Science?

[UNSURE'19] Oral Presentation 03: Tim Adler

10/2019 (Tim Adler, MICCAI UNSURE Workshop): Out of Distribution Detection for Intra-Operative Functional Imaging.

Audio recordings

04/2022 (Lena Maier-Hein): Podcast AI-ready Healthcare: "What does it mean to win a Biomedical Challenge?"

03/2021 (Lena Maier-Hein): Podcast: Medizin auf's Ohr

 

Press and Media

02/2025 (Im Fokus Onkologie, Lena Maier-Hein): “Wer ist Lena Maier-Hein”

10/2024 (Metropol Journal Rhein-Neckar, Lena Maier-Hein): Landesforschungspreis Baden-Württemberg und Preis für mutige Wissenschaft 2024 verliehen an Prof. Dr.-Ing. Lena Maier-Hein, Prof. Dr. Christiane Werner und Prof. Dr. Kira Rehfeld

04/2024 (SWR Wissen aktuell, Lena Maier-Hein): "So unterstützen Roboter und KI Ärzte bei Operationen"

12/2023 (Imperial College London, Lena Maier-Hein): I-X hosts inaugural conference to explore latest AI breakthroughs

10/2023 (Frankfurter Allgemeine Zeitung, FAZ, Lena Maier-Hein, Minu D. Tizabi, Christoph Michalski): Die Potenziale der chirurgischen Datenwissenschaft

06/2022 (Frauen in MINT-Berufen, Lena Maier-Hein): Mit Künstlicher Intelligenz gegen Krebs

08/2021 (Medium Blogpost Annika Reinke, Minu D. Tizabi): A discovery dive into the world of evaluation — Do’s, don’ts and other considerations

Press releases

07/2025 DKFZ Website: “Faster sepsis diagnosis through hyperspectral imaging and AI”

06/2025 DKFZ Website: “Hector Foundation Prize 2025 for Annika Reinke: ”Metrics Reloaded" improves the quality of AI-supported image analysis"

08/2024 DKFZ Website: “Prestigious award for Lena Maier-Hein from the DKFZ”

05/2024 DKFZ Website: “Leonardo Ayala receives Helmholtz Doctoral Prize 2024”

02/2024 DKFZ Website: “AI-supported image analysis: metrics determine quality”

03/2023 DKFZ Website: “AI and multispectral imaging facilitate keyhole surgery”

02/2021 Helmholtz Website: "Die Zukunftstechnologin" (Portrait Lena Maier-Hein)

12/2020 DKFZ Website: "Artificial intelligence enables new imaging methods" (Press release ERC Consolidator Grant)

12/2017 DKFZ Website: "Berlin-Brandenburg Academy Prize for Lena Maier-Hein"

12/2016 DKFZ Website: "Using sound and light for navigating inside the body - Lena Maier-Hein has been awarded the Emil Salzer Prize"

12/2014 DKFZ Website: "ERC Starting Grant for Lena Maier-Hein" (Press release ERC Starting Grant)

05/2013 DKFZ Website: "Medizininformatikerin Lena Maier-Hein erhält Preis der DFG" (Press release Heinz-Maier Leibnitz Preis)

07/2009 DKFZ Website: "Improved Treatment of Liver Metastases - Cancer Prize Awarded to Heidelberg Scientist"

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