The 2nd International MIDL Conference on Medical Imaging with Deep Learning
brings deep learning and medical imaging researchers together for in-depth discussion and exchange of ideas.

This conference will be a forum for deep learning researchers, clinicians and healthcare 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 including topics such as computer-aided screening and diagnosis, intervention, detection, segmentation, registration, image reconstruction and synthesis etc..

This year Fraunhofer MEVIS contributes the following topics:

Poster  (Abstract Posters A-W-7)

Grzegorz Chlebus

Relevance Analysis of MRI Sequences for Automatic Liver Tumor Segmentation

(Grzegorz Chlebus, Nasreddin Abolmaali, Andrea Schenk, Hans Meine)

Wednesday, 10 July, 11:30 – 13:00, Poster Session 3

Poster  (Abstract Posters A-W-8)

Hans Meine

Efficient Prealignment of CT Scans for Registration Through a Bodypart Regressor

(Hans Meine Alessa Hering)

Wednesday, 10 July, 11:30 – 13:00, Poster Session 3