FLLM2024 CFP (Hybrid Event and Co-Sponsored by IEEE): The 2nd International Conference on Foundation and Large Language Models , 26-29 November, 2024 | Dubai, UAE

BIOSIG 2024 – 23rd International Conference of the Biometrics Special Interest Group

BIOSIG 2024
23rd International Conference  of the Biometrics Special Interest Group
September 25-27, 2024
Darmstadt, Germany

Methodologies for Multimedia Initiative (CfP)

Dear Multimedia Colleagues,

If you are interested in core methodologies for multimedia research, you might find it interesting to know about the Meet4MM (Methodologies for Multimedia) initiative.

Meet4MM (https://meet4mm.wordpress.com/) aims to foster discussion around fundamental methodologies and tools used in various multimedia research topics.

We are organising a workshop at ACM Multimedia 2024 (coupled with a special issue at ACM Transactions on Multimedia Computing, Communications, and Applications). 

Meet4MM is interested in papers describing best practices, methodologies, and tools developed for general-purpose multimedia applications or within specific multimedia application areas, rather than papers reporting an increase in certain evaluation metrics.

Key dates:

  • Submission deadline: July 18th, 2024

  • Author notification: August 5th, 2024

  • Camera-ready: August 19th, 2024

  • Workshop: October 2024

Submission site: https://openreview.net/group?id=acmmm.org/ACMMM/2024/Workshop/Meet4MM 

Looking forward to receiving your contributions,

Vincent, Qin, Laura, and Xavi

The Meet4MM Initiative Team

MICCAI Workshop on AI in Pancreatic Disease Detection and Diagnosis

Workshop on AI in Pancreatic Disease Detection and Diagnosis 
Held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)” – October 10, 2024, Marrakesh (Morocco)  
  
About 
  
The domain of medical imaging is experiencing a transformative shift through the application of artificial intelligence and deep learning, providing clinicians with new tools for diagnosis and treatment planning. As these technologies evolve, they hold the potential to significantly enhance the accuracy and efficiency of medical imaging interpretations. Nevertheless, unlike other organs like the brain, lungs or liver, the pancreas has a uniquely complex anatomical structure that sets it apart as a significantly distinct case. Factors such as age, gender and adiposity may largely contribute to variations in pancreas’ size, shape and location. Despite its small size and similarity to surrounding abdominal tissues, diseases affecting the pancreas (diabetes, pancreatic cancer, pancreatitis) pose considerable threats to individuals.  
  
The workshop “AIPAD: AI in Pancreatic Disease Detection and Diagnosis” aims to focus on the cutting-age of AI applications in pancreatic health, with a special emphasis on image analysis, while also encompassing the broader scope of deep learning applications such as predictive analytics, treatment planning, and outcome evaluation. Our goal is to catalyze collaborative problem-solving and spearhead innovation in this specialized yet critical area of medical imaging.  
  
Topics 
  
Potential topics include, but are not limited to: 
  • AI-driven techniques for enhancing pancreatic image quality and detail resolution.  
  • Deep learning models for accurate classification and segmentation of pancreatic structures.  
  • Multi-modal data integration using AI to provide a comprehensive view of pancreatic health.  
  • Addressing small sample sizes and class imbalance in pancreatic datasets with AI.  
  • AI solutions for artifact reduction and signal enhancement in pancreatic imaging.  
  • Utilizing transfer learning to supplement pancreatic imaging data scarcity with larger, external datasets.  
  • Weakly supervised learning for the detection, characterization, and risk assessment of pancreatic lesions with minimal annotated data.  
  • Use of foundational models in the development of diagnostic, prognostic, and therapeutic tools for pancreatic diseases.  
  • Examination of privacy-preserving techniques in AI for pancreatic health, addressing the challenges of data protection and confidentiality while enabling collaborative research and data sharing.  
  • Development of interpretable AI models for pancreatic imaging and data analysis, emphasizing the need for clear decision-making due to the pancreas’s complex anatomy and the often subtle presentation of pancreatic diseases.  
  • Creation and curation of richly annotated pancreatic datasets for AI applications.  
  • AI methodologies for robust segmentation and quantification of pancreatic tumors.  
  • Tailored evaluation and validation frameworks for AI tools in pancreatic imaging.  
  • Discussion of ethical implications surrounding the application of AI in pancreatic imaging. 
  
Important dates 
Paper submission deadline: June 24, 2024 
Notification to authors: July 15, 2024 
Camera-ready deadline: July 30, 2024 
  
Proceedings 
 
Accepted papers will be published in Springer LNCS in a separate proceedings book. 
  
Organizers 
  
Federica Proietto Salanitri – University of Catania, Italy  
Serestina Viriri – University of KwaZulu-Natal, South Africa  
Ulas Bagci – Northwestern University, USA  
Pallavi Tiwari – University of Wisconsin Madison, USA  
Boqing Gong – Google DeepMind, USA  
Concetto Spampinato – University of Catania, Italy 
Zheyuan Zhang – Northwestern University, USA 
  
We hope to see you in Marrakesh! 

ICCNS2024 CFP (Hybrid Conference Co-Sponsored by IEEE):The International Conference on Intelligent Computing, Communication, Networking and Services, Dubrovnik, Croatia.

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