The Workshop on Deep Learning for Biomedical Image Reconstruction will be held as part of the 2020 IEEE International Symposium on Biomedical Imaging (ISBI). Machine learning has recently received a large amount of interest for the reconstruction of biomedical and pre-clinical imaging datasets. This workshop focuses on the recent developments and challenges in machine learning for image reconstruction, and its focus is on original work aimed to develop new state-of-the-art techniques and their biomedical imaging applications.
“Deep Learning for Biomedical Image Reconstruction”
Time: Monday April 6th: 6:00am-10:30am, Central Standard Time
Organizers: Mehmet Akcakaya, Ge Wang, Jong Chul Ye
Part 1: Video Streaming and Panel Question Collections
MRI
6:00am-6:30am: Dr. Mariappan Nadar, Siemens Healthineers
Scanner Artificial Intelligence: The Road Ahead
6:30am-7:00am: Dr. Mariya Doneva, Philips Research
Machine Learning in Mri Reconstruction
CT
7:00am-7:30am: Dr. Bruno De Man, GE Global Research
Neural Networks in Tomographic Imaging: How Much Can They Learn?
7:30am-8:00am: Dr. Zhou Yu, Canon Medical Research
How to Serve an AiCE? the Journey of Developing Deep Learning Based Reconstruction Product in Medical Imaging
Theory
8:00am-8:30am: Prof. Yoram Bresler, University of Illinois at Urbana-Champaign
Deep Learning-Based Image Reconstruction: How the Inverse Problem Informs the Architecture
Clinical Applications
8:30am –9:00am: Prof. Tim Leiner, Utrecht University Medical Center
Bringing Machine Learning to the Clinic – Opportunities and Challenges
Part 2: Live Panel Discussions, and Q&A for Papers
9:00am-10:30am: Panel discussion and Q&A for authors
CODE: 9gabt
The workshop scope covers the machine learning techniques that are used for image acquisition and reconstruction. Specific topics are as follows:
[1] Scope
- Physics-driven neural networks
- Sensor-domain methods
- Neural network optimization and design
- Generative approaches
- Non-neural network approaches
- Denoising, super-resolution and image synthesis methods
- Applications in computed tomography, magnetic resonance imaging, ultrasound imaging and nuclear imaging
- Applications in optical imaging and microscopy
- Multimodal reconstructions or data fusion
- Clinical evaluation
- Challenges for clinical translation
[2] Organizers
- Mehmet Akcakaya
Department of Electrical and Computer Engineering
University of Minnesota
Minneapolis, Minnesota - Ge Wang
Department of Biomedical Engineering
Rensselaer Polytechnic Institute
Troy, New York - Jong Chul Ye
Department of Bio and Brain Engineering
Korea Advanced Institute of Science & Technology (KAIST)
Daejeon 305-701, Korea
[3] Program
- Morning session: Theory and Algorithms
- Afternoon session: Clinical/Industrial Applications
[4] Presentations
Yoram Bresler
Bruno De Man
Tim Leiner
Mariya Doneva
Zhou Yu
Mariappan Nadar