Fraunhofer MEVIS @ SPIE 2024

With an increased focus on rapidly emerging areas such as deep learning, AI and machine learning, SPIE Medical Imaging is a forum for leading researchers to present the latest developments in imaging, physics, computer-aided diagnosis, perception, image-guided procedures, biomedical applications, ultrasound, informatics, radiology and digital pathology.

 

In 2024, Fraunhofer MEVIS will participate in the following ways:

 

Live Demonstrations Workshop

Chair: Horst Hahn

Technical Event

Date: February 20, 2024

Time: 5:30 PM – 7:00 PM PST (UTC -8)

Room: Pacific A

 

Course

Markus Thorsten Wenzel, Hans Meine, Felix Thielke (Instructors)

"Transformers: A Powerful Tool for Image Analysis and Generation"

Course SC1324

Date: February 18, 2024

Time: 8:30 AM – 5:30 PM PST (UTC -8)

 

Panel Discussion

Hans Meine et al.

"Exploring Careers in Medical Imaging"  (Social and Networking Event)

Date: February 21, 2024

Time: 3:30 PM – 4:30 PM PST (UTC -8)

Room: SPIE Community Lounge (Palm 1)

 

Oral Presentation

Tom Lucas Koller

"Towards optimal camera positioning for navigated surgery applications based on RGBD data"

Paper 12928-14 (Authors: Philipp Gehrmann, Tom Lucas Koller, Jan Klein)

Conference 12928: Image-Guided Procedures, Robotic Interventions, and Modeling

Date: February 19, 2024

Time: 5:10 PM – 5:30 PM PST (UTC -8)

Room: Pacific C

 

Oral Presentation

Kai Geißler

"Towards TotalSegmentator for MRI data leveraging GIN data augmentation"

Paper 12926-3 (Authors: Kai Geißler, Daniel Mensing, Markus Wenzel, Jochen Hirsch, Stefan Heldmann)

Conference 12926: Image Processing

Date: February 19, 2024

Time: 11:50 AM – 12:10 PM PST (UTC -8)

Room: Town & Country B

 

Poster

Kai Geißler

"Deformable current-prior registration of DCE breast MR images on multi-site data "

Paper 12926-98 (Authors: Kai Geißler, Ani Ambroladze, Tom Lucas Koller, Nils Papenberg, Heba Amer, Eva Maria Fallenberg, Horst Karl Hahn)

Conference 12926: Image Processing

Date: February 19, 2024

Time: 5:30 PM – 7:00 PM PST (UTC -8)

Room: Pacific A

 

Poster

Johanna Brosig

"Learning 3D aortic root assessment based on sparse annotations"

Paper 12927-61 (Authors: Johanna Brosig, Nina Krüger, Isaac Wamala, Matthias Ivantsits, Simon Sündermann, Jörg Kempfert, Stefan Heldmann, Anja Hennemuth)

Conference 12927: Computer-Aided Diagnosis

Date: February 19, 2024

Time: 5:30 PM – 7:00 PM PST (UTC -8)

Room: Pacific A