Conference / February 18, 2024 - February 22, 2024
SPIE Medical Imaging 2024
The international society for optics and photonics
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