Special Session on Medical Image Analysis

Session organizer(s):

  1. Dr Sajib Saha, Sr. Research Scientist, CSIRO, Australia
  2. Dr. Jason Dowling, Principal Research Scientist and Team Leader, Medical Image Analysis, CSIRO, Australia
  3. Assoc. Prof. Zongyuan Ge, Department of Data Science & AI, Monash University, Australia
  4. Prof. Sowmya Arcot, School of Computer Science and Engineering, UNSW Sydney, Australia
  5. Assoc. Prof. Luping Zhou, School of Electrical and Computer Engineering, University of Sydney, Australia

Description & Motivation:

Medical image analysis is a critical field that leverages computational techniques to analyze and interpret medical images. This special session at the DICTA conference, will cover a broad range of topics within medical image processing, including but not limited to:

  1. Image Acquisition and Preprocessing: Techniques for acquiring high-quality medical images and preprocessing methods to improve image quality and remove artifacts.
  2. Image Segmentation: Methods for segmenting anatomical structures and pathological regions from medical images, which is crucial for quantitative analysis and visualization.
  3. Image Registration: Techniques for aligning images from different modalities or time points, enabling comprehensive analysis and comparison.
  4. Feature Extraction and Classification: Approaches for extracting relevant features from medical images and classifying these features to assist in disease diagnosis and prognosis.
  5. Computer-Aided Diagnosis (CAD): Development of CAD systems that provide automated analysis and decision support to clinicians, enhancing diagnostic accuracy and efficiency.
  6. Deep Learning and AI in Medical Imaging: Application of deep learning and artificial intelligence techniques to solve complex problems in medical image analysis, such as detecting abnormalities, predicting disease outcomes, and personalizing treatment plans.
  7. 3D Medical Imaging: Techniques for processing and analyzing 3D medical images, which provide more comprehensive spatial information compared to traditional 2D images.
  8. Quantitative Imaging Biomarkers: Identification and validation of imaging biomarkers that can be quantitatively measured to assess disease presence, progression, or response to treatment.

The motivation for organizing this special session stems from the significant advancements and growing importance of medical image processing in healthcare. Several factors highlight the need for such a dedicated session:

  1. Technological Advancements: Recent advancements in imaging technologies and computational power have enabled the development of more sophisticated image processing techniques. This session provides a platform to showcase these cutting-edge developments and their applications in medical imaging.
  2. Interdisciplinary Collaboration: Medical image processing is a highly interdisciplinary field. This session aims to foster collaboration among researchers, clinicians, and industry experts from diverse backgrounds, facilitating the exchange of ideas and the development of innovative solutions.
  3. Clinical Impact: Effective medical image processing techniques have a direct impact on patient care by improving diagnostic accuracy, enabling early detection of diseases, and assisting in treatment planning. This session emphasizes the clinical relevance of research in this area and its potential to improve healthcare outcomes.
  4. Challenges and Future Directions: Despite significant progress, many challenges remain in medical image processing, such as dealing with large datasets, ensuring robustness and generalizability of algorithms, and integrating AI into clinical workflows. This session will address these challenges and explore future directions for research and development.

In summary, this special session on medical image analysis at the DICTA conference aims to provide a comprehensive overview of the latest research and developments in this field. By bringing together experts from academia, industry, and clinical practice, this session will facilitate the exchange of knowledge, promote interdisciplinary collaboration, and highlight the clinical impact of advanced image processing techniques. Ultimately, the insights gained from this session will contribute to the advancement of medical imaging and its application in improving patient care.

Instruction to Authors: Please submit your paper as per the full paper submission instructions and deadline. However, please ensure that you select “Medical Image Analysis (special session) as the primary subject are while submitting your manuscript on CMT.

Awards: CSIRO will sponsor an award for the best paper in this session.

Special Session on Digital Identify Management

Session organizer(s):

  1. Bandar Alshammari, Technology Control Company, Riyadh, Saudi Arabia
  2. Imran Razzak, University of New South Wales, Sydney, Australia
  3. Bandar Alhaqbani, Technology Control Company, Riyadh, Saudi Arabia
  4. Tariq Khan, University of New South Wales, Sydney, Australia

Description:

Identity management is a crucial element in the development and deployment of digital services across various applications, including e-commerce, e-government, healthcare, and financial services. With the increasing adoption of digital technologies, the demand for reliable identity management solutions is more pressing than ever. In this context, numerous challenges emerge related to security, interoperability, data protection, and privacy. These challenges encompass both technical and regulatory aspects, necessitating collaboration among researchers and practitioners from diverse fields. While identity management systems are becoming more effective as technology advances, they are not a foolproof method of authentication or identification. The 25th DICTA 2024 conference will be held in Novotel Perth Murrey Street, Perth, Western Australia from Nov 27-29, 2024 preceded by workshops on Nov 26 at The University of Western Australia. DICTA 2024 will feature regular and special sessions, industry demos and panels, journal-to-conference track, challenges, and keynote talks from distinguished speakers.

This special session aims to promote an advancement in AI methods by offering a platform for sharing innovative solutions, systematized knowledge, practical experiences, and best practices in digital identity systems, with a particular focus on computer vision and related technologies.

Topics

This session aims to explore cutting-edge methods to identity management to secure digital services against potential security and privacy threats.

  1. Management of human identities using traditional behavioural and physiological characteristics (biometric modalities) including Face, Fingerprint, Iris, Periocular, Palmprint, Gait, Ear, and Voice.
  2. Emerging biometrics including social and behavioural biometrics, gesture-based biometrics, keystroke, vascular, knuckle, and soft information/biometrics such as quality, age, gender, kinship, social context, and biographic analysis
  3. Multibiometric including fusion approaches
  4. Novel biometric sensors
  5. Person re-identification
  6. Video-based identity proofing (e.g. automated face comparison, impersonation attacks, document analysis)
  7. Detection, tracking, identification, and de-identification in surveillance
  8. Mobile biometrics, active authentication
  9. Novel (challenging) biometrics databases, protocol and benchmarking, large scale evaluation, confidence interval estimation, and performance modelling and prediction
  10. Privacy-Enhancing Technologies for Identity Management
  11. Remote Identification, Onboarding and Know Your Customer (KYC) Procedures
  12. Securing Identities for the Financial and Governmental Services
  13. Session Management for Seamless and Continuous Authentication
  14. Trust Frameworks for Identity Management Solutions
  15. Zero Trust Architectures
  16. Forensic analysis in identity and activity
  17. Applications of biometrics and identity in privacy preserving computing, user centric security, usable privacy and security, social and criminal network inference, privacy protection and enhancement
  18. Applications of biometrics in law enforcement and cybercrime, finance, smart-cards, border control, healthcare, civil registry, access control, securing documents, fraud detection, cloud, and entertainment.

Instruction to Authors: Please submit your paper as per the full paper submission instructions and deadline. However, please ensure that you select “Digital Identify Management (Special Session) as the primary subject are while submitting your manuscript on CMT.

Award: TCC will sponsor an award for the best paper in this session.