Call For Papers: ICDM-TMDM 2019 Workshop 11/8-11 in Beijing



Call for Papers

 

 

Translational Multimedia Data Mining for AI-Based Medical Diagnostics – Bridging Digital Intelligence with Clinical Practices (TMDM for short) is a workshop collocated with ICDM 2019 (November 8 – 11, 2019) in Beijing, China.

 

 

Beijing China

Objective

Recent developments of health informatics and digital medical diagnostics have accumulated a large amount of multimedia data. Typical examples include the face/gesture videos, medical scan image, sensor signals, and multimodal medical databases. The volume and complexity of these data provide significant data mining challenges as well as the opportunity to develop robust digital tools with clinical potentials. This workshop aims at bringing together researchers from medical data analysis, medical signal processing, health informatics, clinical research, statistical pattern recognition, machine learning, and artificial intelligence to share their recent progress and synergies. Emphasis will be on the potential towards translational medical research, clinical research and practice, AI-based diagnostic tools and databases, and a clinical-inclined integration of the data mining, bioinformatics, medical science, and clinical research areas.

 

 

Topics of Interests

The topics of interests for the workshop include, but not limited to the following:

  • Deep learning based multimedia analysis tools and applications for healthcare
  • Deep learning based data mining tools for multimedia data retrieval
  • Physiological and psychological sensing tools for healthcare data capturing, pre-processing, storage, retrieval, annotation, and utilization
  • Clinical protocols and practices for multimedia content modeling and interpretation in clinical context
  • AI-based diagnostic tools for improving medical operation efficiency and effectiveness
  • Legal, ethical, and policy aspects of health informatics and AI medical data mining tools
  • Operational and clinical trials of health informatics and machine-aided diagnostic tools
  • Human factors, user-centered designs, integrative visualizations of data mining applications on medical science

 

 

Organizers

Justine Cassell, School of Computer Science, Carnegie Mellon University, USA

Jeffrey Cohn, Department of Psychology, University of Pittsburgh, USA

Zakia Hammal, Robotics Institute, Carnegie Mellon University, USA

Katherine Martin, Tobii Pro, USA

Daniel Messinger, Department of Psychology, University of Miami, USA

Mitsunori Ogihara, Department of Computer Science, University of Miami, USA

Gang Ren, Center for Computational Science, University of Miami, USA

 

 

Important Dates

 

  • Submission deadline extended to: August 20, 2019
  • Notification of acceptance: September 4, 2019
  • Camera-ready deadline and copyright forms: September 8, 2019
  • Workshop: TBD

 

 

Program Committee

Oya Aran, IDIAP Research Institute, Switzerland

Mohamed Chetouani, UPMC, France

Jeffrey F. Cohn, University of Pittsburgh, USA

Zakia Hammal, Robotics Institute, Carnegie Mellon University, USA

Hongying Meng, Brunel University London, UK

Mitsunori Ogihara, Department of Computer Science, University of Miami, USA

Gang Ren, Center for Computational Science, University of Miami, USA

Akane Sano, Rice University, USA

Babak Taati, University Health Network, Canada

Lijun Yin, Department of Computing Science, SUNY at Binghampton University, USA

 

Related Links

The IEEE ICDM 2019 Conference main page: http://icdm2019.bigke.org/

The Submission website: https://cmt3.research.microsoft.com/TMDM2019/Submission/Index

 

 

Contact

Mitsunori Ogihara

 

 

Mitsunori Ogihara | m.ogihara@miami.edu

 

 

 

Gang Ren

 

 

Gang Ren | gxr467@miami.edu

 

 

 

 

 

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