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

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

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

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

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

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

Overview of MICCAI 2020 Challenges

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

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

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

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

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

Conference presentations

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

MICCAI2023 | Self-distillation for surgical action recognition - Yamlahi

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

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

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

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

How to Organize a Challenge – Behind the Scenes

[UNSURE'19] Oral Presentation 03: Tim Adler