The 2nd International Workshop on Multimedia Computing for Health and Medicine

overview

In health and medicine, an immense amount of data is being generated by distributed sensors and cameras, as well as multimodal digital health platforms that support multimedia, such as audio, video, image, 3D geometry, and text. The availability of such multimedia data from medical devices and digital record systems has greatly increased the potential for automated diagnosis. The past several years have witnessed an explosion of interest, and a dizzyingly fast development, in computer-aided medical investigations using MRI, CT, X-rays, images, point clouds, etc. This proposed workshop focuses on various multimedia computing techniques (including mobile solutions and hardware solutions) for health and medicine, which targets real-world data/problems in healthcare, involves a large number of stakeholders, and is closely connected with people's health.

Scope and Topics

This workshop focuses on various computing techniques (including mobile solutions and hardware solutions) for health and medicine. The topics of interest include (but are not limited to) the following:

Digital twins for health and medicine
Digital persons for health and medicine
Developing better deep learning-based debugging methods and tools
Intelligent medical and health systems
Novel theories and methods of deep learning for medical imaging
Drug discovery with deep learning
Pandemic (e.g., COVID-19) management with deep learning
Health and medical behavior analytics with deep learning
Medical visual question and answering
Un/self/semi/weakly/fully-supervised medical data (text/images)
Graph learning on medical data (text/images)
Generating diagnostic reports from medical images
Fewer Labels in clinical informatics
Summarization of clinical information
Knowledge transfer under various clinical environments
Multimodal medical image analysis
Medical image registration
Organ and lesion segmentation/detection
Image classification with MRI/CT/PET
Medical image enhancement/denoising
Learning robust medical image representation with noisy annotation
Predicting clinical outcomes from multimodal medical data
Anomaly detection in medical images
Active learning and life-long learning in medical computer vision
User/patient psychometric modeling from video, image, audio, and text
Medical foundation models (FMs)
Transfer learning and model fine-tuning for medical data
Activity detection or recognition of medical sequential data (e.g., surgical videos, EEG)
Sequential pattern recognition of medical data (e.g., surgical videos, EEG, MRI/CT)
Image/video/language/audio decoding from medical data (e.g., MRI and EEG)
Medical dataset and benchmark contribution
Medical data synthesis
Medical data augmentation
Model robustness in medical data analysis
Model trustworthiness and explainability in medical data analysis
Ethical considerations on AI for medical data analysis

programme

KEY DATES FOR WORKSHOP

Workshop paper submission deadline: 13 June 2025

Workshop paper notification: 24 July 2025

Workshop paper camera-ready: 03 August 2025

Submission

We invite submissions of original research papers addressing but not limited to the topics as listed above. Submissions should adhere to the ACM Multimedia 2025 formatting guidelines and will undergo a rigorous peer-review process. Accepted papers will be presented at the workshop and included in the ACM Digital Library. We also welcome submissions of demos, datasets, and position papers that contribute to the workshop's themes. The template can be found via:

Page limits:

Workshop full papers: 8 page limit + 2 extra pages for references only, no presentation video
Workshop short papers: 4 page limit + 1 extra page for references only, no presentation video

Papers have to be submitted via:

Keynote Speakers

Klaus Schoeffmann

Prof. Klaus Schoeffmann is an Associate Professor at the Institute of Information Technology (ITEC) at Klagenfurt University, Austria, where he received his habilitation (venia docendi) in Computer Science in 2015. His research focuses on video content understanding (including medical/surgery videos), deep learning, computer vision, multimedia retrieval, and interactive multimedia. He has secured research funding of over €2M (from FWF, KWF, and industrial partners). He has a Google H-index of 35 from over 4,000 citations to his research works, and he is founder and co-organizer of the annual Video Browser Showdown and the annual Lifelog Search Challenge. He is a member of the IEEE and the ACM, a regular reviewer for international conferences and journals in the field of multimedia and medical imaging. Klaus Schoeffmann has been the program co-chair of MMM 2021, CBMI 2021, ACM ICMR 2020, MMM2018, CMBI 2013, the demo & video co-chair of ACMMM2020, open-source software competition chair of ACMMM2019, the general co-chair of MMM2012, and the general co-chair of ACM ICMR 2024, CBMI 2025, and ACMMM2025, as well as a program co-chair of ACMMM Asia 2025.

Huiyu Zhou

Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 500 peer-reviewed papers in the field. His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Innovate UK, Royal Society, British Heart Foundation, Leverhulme Trust, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.

Program Committee

Weide Liu, Harvard University, USA

Guanghui Yue, Shenzhen University, China

Baoquan Zhao, Sun Yat-sen University, China

Yakun Ju, University of Leicester, UK

Marco Palombo, Cardiff University, UK

Yanda Meng, University of Exeter, UK

Baoru Huang, University of Liverpool, UK

Chen Chen, University of Sheffield, UK

Jun Liu, Lancaster University, UK

Roger Zimmermann, NUS, Singapore

Steering Committee

Xuequan Lu, UWA, Australia

Imran Razzak, MBZUAI, UAE

The 2nd International Workshop on Multimedia Computing for Health and Medicine

overview

Scope and Topics

programme

KEY DATES FOR WORKSHOP

Submission

Keynote Speakers

Klaus Schoeffmann

Huiyu Zhou

Program Committee

Steering Committee

Workshop Organizers

Wei Zhou

Hadi Amirpour

Jungong Han

Richang Hong

Paul L. Rosin