Chairs: Karen Drukker, The Univ. of Chicago Medicine (United States); Lubomir M. Hadjiiski, Michigan Medicine (United States); Horst Karl Hahn, Fraunhofer-Institut für Digitale Medizin MEVIS (Germany)



Discover, showcase, and collaborate at the Live Demonstration Workshop. We invite you to be a part of an exciting event that promises inspiration, collaboration, and knowledge sharing.

About the workshop
This workshop provides a platform for innovators like you to showcase your creations. The primary objectives are to inspire research, offer valuable feedback to participants, foster new collaborations, and facilitate learning in the realm of medical imaging.

Who can participate
The Live Demonstration Workshop welcomes contributions from all conferences within the SPIE Medical Imaging Symposium. We extend our invitation to participants from the CAD, Digital Pathology, Image Processing, Imaging Informatics, Image Perception, Image-Guided Procedures, Modeling, Physics, and Robotic Interventions conferences. While having an accepted SPIE Medical Imaging paper is not mandatory for participation, registration for the SPIE Medical Imaging Symposium is required. We encourage authors of SPIE Medical Imaging papers to submit complementary demonstrations related to their presentations.

What to expect
Expect a dynamic showcase of interactive demonstrations closely aligned with the themes of SPIE Medical Imaging. This workshop will feature live system demonstrations and software presentations. These demonstrations will highlight the implementation, operation, and utility of both emerging and well-established research.

Recognition and awards
The session will include a certificate of merit award and a $300 first prize and $150 runner-up prize, sponsored by Siemens Healthineers. We invite all workshop attendees to cast their votes for their top three favorite demonstrations, with the ultimate winner selected by a panel of designated judges from the top scorers.

This year's live demonstrations include:

Real time segmentation of the anterior nasal cavity for the differential diagnosis of nasal obstruction using a low-cost USB miniaturized camera
Nonpawith Phoommanee, University College London (United Kingdom)

Multi-Channel Reconstruction (MCR) Toolkit 2.0: an open-source, Python toolkit for deep-learning based augmentation of CT reconstruction pipelines
Darin P. Clark, Duke Univ. (United States)

CT-NORM: A Harmonization Toolkit for Characterizing and Mitigating CT Acquisition and Reconstruction Parameters
William Hsu, Univ. of California Los Angeles (United States)

SimpleMind: A Cognitive AI software environment for aggregating deep learning algorithms and reasoning with their outputs
M. Wasil Wahi-Anwar

Statistical software for ROC analysis of multi-reader multi-case diagnostic imaging studies
Steve Hillis, Univ. of Iowa (United States)

Stimulus design for 3D-CSF measurements and evaluation of its impact on the Human Visual System
Stijn Crul, Baro Lab.

M-SYNTH: A synthetic breast imaging database with true lesion segmentation labels
Diksha Sharma, Food and Drug Admin. (United States)

CaroTo - CNN-Assisted Carotid Vessel Wall and Plaque Assessment
Hinrich Rahlfs, Deutsches Herzzentrum der Charité (Germany)

ValidPath: Whole Slide Image Processing and Machine Learning Performance Assessment Tool
Seyed Kahaki, Food and Drug Admin. (United States)

Tool for leveraging vicinal distributions of virtual samples to indicate likely errors on unrepresented populations
Alexis Burgon, Food and Drug Admin. (United States)

Award sponsored by: