AIIIMA 2023
Artificial Intelligence over Infrared Images for Medical Applications [Online Event]
AIIIMA 2023 proceedings are accessible now at https://link.springer.com/book/10.1007/978-3-031-44511-8.
Program Schedule
MICCAI AIIIMA Workshop Description
There have been many advances in the use infrared imaging for medical applications in recent years. Infrared imaging comprises near-infrared, mid-wave infrared and long wave infrared spectrum. In the first ever AIIIMA workshop, more focus is given for long wave infrared imaging, in other words, thermal imaging. In the last two decades, infrared thermal imaging hardware devices have improved in thermal sensitivity by orders of magnitude (0.8 to 0.02 deg C) and recent research explorations have unearthed multiple clinical use cases and medical applications for thermal imaging. This non-contact, non-invasive radiation-free low-cost portable modality offers several advantages over other imaging modalities to patient monitoring applications in general. Furthermore, since thermal images have some unique imaging characteristics with inbuilt anonymity and opportunity to analyze in both thermal and imaging feature space, it has sparked considerable interest in several research communities. A simple pubmed search with the combination of words ‘Thermal imaging ’ and ‘Medical’ results in over 5000 articles just in the last decade. This surge of applications is 10 times higher when compared to the publications on thermal imaging during 2000-2010. We are also starting to see innovative startups creating breakthrough solutions leveraging this emerging trend of advanced medical infrared thermology and use of novel machine learning algorithms over the captured thermal images. We believe it is time to create a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society.
Some specific clinical applications of Infrared Imaging are seen in screening, diagnosis and treatment of cancer, such as breast cancer, skin cancer, oral cancer and others. Utility in evaluating skeletomuscular issues such as rheumatoid arthritis, vascular complications such as detecting early onset of diabetic foot and river blindness (parasites under the skin) or even respiratory abnormalities such as pneumonia and COVID-19. The patient monitoring applications include treatment monitoring during neoadjuvant chemotherapy, acupuncture, cryotherapy and pain management. A focused discussion on the topic of machine analysis of medical Infrared Imaging can help create new radiomic biomarkers that can help in several such clinical use cases.
Call for Papers
The topics of interest to this workshop include but not limited to the novel AI techniques over infrared images to address the following problems:
Cancer screening and diagnosis
Treatment Monitoring
Health monitoring in public places
Patient monitoring with respiratory issues
COVID screening
Pain management
Veterinary medicine
Biomarkers prediction
Thermal Surface Reconstruction / registration
Thermal Image Segmentation
3D modeling
Image segmentation and cross-modality registration
And others
Submission Guidelines
Submitted manuscripts must be in pdf format following formats available at Lecture Notes in Computer Science . Manuscripts should be at most 8 pages (content) + 2 pages (references and acknowledgements)
All accepted papers will be published as part of the MICCAI Satellite Events joint LNCS proceedings to be published by Springer Nature.
* AIIIMA 2022 proceedings are available at https://link.springer.com/book/10.1007/978-3-031-19660-7
How to Submit?
The manuscripts should be submitted through our CMT paper submission site
Is There A Registration Fee?
No. There is no registration fee and all the accepted manuscripts will be published in MICCAI Satellite Events joint LNCS proceedings.
AIIIMA 2023 Workshop Challenge
To encourage more medical imaging researchers to join this exciting field of thermal imaging, we are hosting a challenge on 3D Breast Thermal Surface Reconstruction from 2D Thermal Images. Find more details about problem statement and the dataset here.
List of Open Source Thermal Datasets Available Online
Onchocerciasis Thermal Imaging Dataset from Niramai: [Dataset] [paper]
COVID-19 Thermal Screening NTIC Dataset from Niramai: [Dataset] [paper]
Breast Thermal Imaging Dataset from Visual Lab: [Dataset]
Thyroid Thermal Image Dataset from Visual Lab: [Dataset]
Plantar Thermogram Database For The Study Of Diabetic Foot Complications from INAOE [Dataset]
Chronic Wounds Multimodal Image Database [Dataset]
*The above datasets are listed for experimentation purposes only and we do not endorse the validity or veracity of the above datasets.
Important Dates
10 July 2023 Paper submissions due
30 July 2023 Notification of paper decisions
15 August 2023 Camera ready papers due
6 September 2023 Workshop proceedings due
02 October 2023 AIIIMA conference date
Organizing Team
Program Committee
Sponsors
If you want be a sponsor, please contact aiiima.miccai@gmail.com