>>>>> We are pleased to announce that the deadline for paper submission to the second AIRCAD workshop has been extended to 15/07/2023. <<<<<

We are also glad to announce that 5 selected papers will be invited to submit an extended version to the Special Issue "Selected Papers from the 2nd International Workshop on Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD 2023)".
Among such papers, the best paper will be awarded the full waiver.

Please find enclosed the call for papers with the new important dates and the selected papers' award details.
Please spread the voice!
Kind regards

[apologies for multiple postings]

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CALL FOR PAPERS - AIRCAD2023

2nd International Workshop on Artificial Intelligence and Radiomics in Computer-Aided Diagnosis AIRCAD2023
held in conjunction with the 22nd International Conference on Image Analysis and Processing ICIAP2023,
Udine, Italy, 11-15th Sep 2023

https://sites.google.com/view/aircad2023

AIMS AND SCOPE
Nowadays, healthcare systems collect and provide most medical data in digital form. The availability of medical data enables a large number of artificial intelligence applications, and there is a growing interest in the quantitative analysis of clinical images using techniques such as Positron Emission Tomography, Computerized Tomography, and Magnetic Resonance Imaging, mainly applied to texture analysis and radiomics. In particular, thanks to machine and deep learning, researchers can generate insights to improve the discovery of new therapeutic tools, support diagnostic decisions, aid in the rehabilitation process, etc. However, the increasing amount of available data may lead to a more significant effort to make a diagnosis. Moreover, this task is even more challenging due to the high inter/intra patient variability, the availability of various imaging techniques, and the need to consider data from multiple sensors and sources, which brought to the well-known domain shift issue.

To address the problems described, radiologists and pathologists today use tools to assist them in analyzing biomedical images. They are known as Computer-Aided Diagnosis (CAD) systems, and they allow to mitigate or eliminate the difficulties due to inter- and intra-observer variability, represented by various assessments of the same region, under the same assumptions, by the same physician at different times, and various assessments of the same region by several physicians, thanks to appropriate algorithms. Further relevant issues are data access, which may be delayed or even prevented for various reasons, such as privacy, security, and intellectual property, and the representativeness of the captured sample compared to the real population. For these reasons, researchers have recently explored the use of synthetic data, both for training the models and to estimate and teach systems in situations that have not been observed in actual reality.

This workshop aims to provide an overview of recent advances in the field of biomedical image processing using machine learning, deep learning, artificial intelligence, and radiomics features, placing particular attention on contributions dealing with practical applications, for example, the potential alternative solution against domain shift, or exploiting synthetic images to teach actual CAD systems. In particular, the ultimate goal is to analyze how these techniques can be employed in the typical medical image processing workflow, from image acquisition to classification, including retrieval, disease detection, prediction, and classification.


TOPICS
The workshop calls for submissions addressing, but not limited to, the following topics:
- Biomedical Image Processing
- Machine and Deep Learning techniques for image analysis (i.e., segmentation of cells, tissues, organs, lesions; classification of cells, diseases, tumors, etc.)
- Image Registration Techniques
- Image Preprocessing Techniques
- Image-based 3D reconstruction
- Computer-Aided Detection and Diagnosis Systems (CADs)
- Biomedical Image Analysis
- Radiomics and Artificial intelligence for personalized medicine
- Machine and Deep Learning as tools to support medical diagnoses and decisions
- Image retrieval (e.g., context-based retrieval, lesion similarity)
- CAD architectures
- Advanced architecture for biomedical image remote processing, elaboration, and transmission
- 3D Vision, Virtual, Augmented, and Mixed Reality applications for remote surgery
- Image processing techniques for privacy-preserving AI in medicine.

SUBMISSION GUIDELINES
Accepted papers will be included in the ICIAP 2023 proceedings, which will be published by Springer as Lecture Notes in the Computer Science series (LNCS). When preparing your contribution, please follow the guidelines provided by Springer. The maximum number of pages is 12 pages including references. Each contribution will be reviewed based on originality, significance, clarity, soundness, relevance, and technical content.

The submission will be handled electronically via a unique Conference's CMT Website for all the workshops belonging to the ICIAP Medical Imaging Hub:
https://cmt3.research.microsoft.com/ICIAPMIH2023/
During the submission, you must select the correct Track, which is Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD).

Once accepted, the presence of at least one author at the event and the oral presentation of the paper are expected.  There are two registration modalities:
- Workshops/Tutorials pass, which covers only tutorials and workshops (2 days)
- Conference pass, which includes the main conference, workshops/tutorials, and social events (5 days).
For more details about the registration, see the ICIAP main conference website.

SELECTED PAPERS AWARD
After the workshop, 5 manuscripts will be selected considering their quality and the overall ratings provided by the Technical Program Committee. The authors of such selected manuscript will be invited to submit an extended version to the Special Issue "Selected Papers from the 2nd International Workshop on Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD 2023)" edited by the Journal of Imaging (MDPI), which will be available soon.
Among such papers, the one with the highest rating will be recognized with the BEST PAPER AWARD with waived publishing charges. The other manuscript will still get a discount (about 50%) on the open-access publication fee.

IMPORTANT DATES
- Paper Submission: July 15, 2023
- Notifications to Authors: July 30, 2023
- Camera Ready Papers Due: August 15, 2023
- Workshop Event: September 11, 2023

ORGANIZERS
Albert Comelli, Ri.MED Foundation, acomelli@fondazionerimed.com
Cecilia Di Ruberto, University of Cagliari, dirubert@unica.it
Andrea Loddo, University of Cagliari, andrea.loddo@unica.it
Lorenzo Putzu, University of Cagliari, lorenzo.putzu@unica.it
Alessandro Stefano, Institute of Molecular Bioimaging and Physiology, National Research Council of Cefalu’, alessandro.stefano@ibfm.cnr.it

TECHNICAL PROGRAM COMMITTEE
Seyed-Ahmad Ahmadi, NVIDIA (Germany)
Stefano Barone, University of Palermo (Italy)
Viviana Benfante, University of Palermo, Ri.MED Foundation and CNR (Italy)
Monica Bianchini, University of Siena (Italy)
Roberto Cannella, University of Palermo (Italy)
Renato Cuocolo, University of Naples Federico II (Italy)
Giuseppe Cutaia, University of Palermo (Italy)
Navdeep Dahiya, Georgia Institute of Technology (USA)
Mario D'Acunto, National Research Council (Italy)
Angelo Genovese,  University of Milano (Italy)
Marco Grangetto, University of Torino (Italy)
Jon Ander Gómez Adrián, Universitat Politècnica de València (Spain)
Riccardo Laudicella, University of Messina (Italy)
Salvatore Livatino, University of Hertfordshire (UK)
Carsten Marr, Helmholtz Zentrum München (Germany)
Mario Molinara, University of Cassino and Southern Lazio (Italy)
Davide Moroni, National Research Council (Italy)
Paolo Napoletano, University of Milan, Bicocca (Italy)
Antonio Parziale, University of Salerno (Italy)
Giovanni Pasini, Sapienza, University of Rome (Italy)
Luca Pireddu, CRS4 (Italy)
Vincenzo Piuri, University of Milan (Italy)
Mubashara Rehman, University of Udine (Italy)
Giorgio Russo, IBFM-CNR (Italy)
Giuseppe Salvaggio, University of Palermo (Italy)
Mattia Savardi, University of Brescia (Italy)
Alberto Signoroni, University of Brescia (Italy)
Alberto Signoroni, University of Brescia (Italy)
Arnaldo Stanzione, University of Naples Federico II (Italy)
Nicola Strisciuglio, University of Twente (Netherlands)
Enzo Tartaglione, Télécom Paris, Institut Polytechnique de Paris (France)
Francesco Tortorella, University of Salerno (Italy)
Lorenzo Ugga, University of Naples Federico II (Italy)
Federica Vernuccio, University of Padova (Italy)