The 8th MIDL conference aims to be a forum for deep learning researchers, clinicians and health-care companies to take a leap in the application of deep learning based automatic image analysis in disease screening, diagnosis, prognosis, treatment selection and treatment monitoring. The conference will have a broad scope and include topics such as computer-aided screening and diagnosis, detection, segmentation, (multi-modal) registration, image reconstruction and synthesis. Furthermore, we discuss issues such as the need for large curated and annotated datasets, noisy reference standards, and the high-dimensionality of medical data. Software demonstrations, presentation of medical data sets and innovative clinical applications are also covered as focus points for integration of deep learning algorithms in clinical practice.
 

This year, Fraunhofer MEVIS is represented with the following contributions:

Poster

Kai Geißler

F-218  "Multi-centric Comparison of Deep Learning Models for Lesion Detection in Breast MRI"

(Authors: Kai Geißler, Markus Wenzel, Susanne Diekmann, Heinrich von Busch, Robert Grimm, Hans Meine)

Poster ID: Poster 1.A - F.13

Session: Poster 1.A: Segmentation (Chairs: Hans Meine & Mathias Unberath)

Wednesday, July 9 

10:30 am – 11:30 am (UTC-6)

Poster

Kai Geißler

S-56  "RevisedMedYOLO: Unlocking Model Performance by Careful Training Code Inspection"

(Authors: Kai Geißler, Jan Hendrik Moltz, Hans Meine, Markus Wenzel, )

Poster ID: Poster 1.A - F.13

Session: Poster 1.B: Generative Al 

Wednesday, July 9 

03:00 pm – 04:00 pm (UTC-6)

Chair

Hans Meine & Mathias Unberath

Session: Oral 1.A: Segmentation

Wednesday, July 9

09:00 am – 10:15 am (UTC-6)