Call for papers for the 5th international workshop on machine learning in clinical neuroimaging

 

Call for Papers

The International Workshop of Machine Learning in Clinical Neuroimaging (MLCN 2022), a satellite event of MICCAI (MICCAI 2022), calls for original papers in the field of clinical neuroimaging data analysis with machine learning. The two tracks of the workshop include methodological innovations as well as clinical applications. This highly interdisciplinary topic provides an excellent platform to connect researchers of varying disciplines and to collectively advance the field in multiple directions.

In the machine learning track, we seek novel contributions that address current methodological gaps in analyzing high-dimensional, longitudinal, and heterogeneous clinical neuroscientific data using stable, scalable, and interpretable machine learning models. Topics of interest include but are not limited to:

·       Big data

·       Spatio-temporal brain data analysis

·       Structural data analysis

·       Graph theory and complex network analysis

·       Longitudinal data analysis

·       Model stability and interpretability

·       Model scalability in large neuroimaging datasets

·       Multi-source data integration and multi-view learning

·       Multi-site data analysis, from preprocessing to modeling

·       Domain adaptation, data harmonization, and transfer learning in neuroimaging

·       Unsupervised methods for stratifying brain disorders

·       Deep learning in clinical neuroimaging

·       Model uncertainty in clinical predictions

·      

In the clinical neuroimaging track, the applications of existing machine learning algorithms are evaluated to move towards precision medicine for complex brain disorders. The discovery of biological markers in medicine is an important challenge across different fields and various experimental procedures and designs are used to detect biological signatures that can be utilized for improvement in diagnostic, treatment, or for other beneficial ends. However, for most complex brain disorders, we do not have reliable biomarkers today. The application of advanced machine learning methods may help to reach this goal. Therefore, we invite the community to submit conference contributions on machine learning approaches with the goal to improve our understanding of complex brain disorders, moving the field closer to precision medicine. Topics of interest include but are not limited to:

·       Biomarker discovery 

·       Refinement of nosology and diagnostics 

·       Biological validation of clinical syndromes 

·       Treatment outcome prediction 

·       Course prediction 

·       Analysis of wearable sensors

·       Neurogenetics and brain imaging genetics

·       Mechanistic modeling

·       Brain aging

·       The presentation of clinical neuroimaging databases to stimulate developments in machine learning

·      


Submission Process:

The workshop seeks high-quality, original, and unpublished work that addresses one or more challenges described above. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style (see this link for detailed author guidelines) using the CMT system here. The page limit is 8-pages (text, figures, and tables) plus up to 2-pages of references. We review the submissions in a double-blind process. Please make sure that your submission is anonymous. Accepted papers will be published in a joint proceeding with the MICCAI 2022 conference.


MLCN Special Issue at the MELBA journal:

We will invite the top accepted papers to submit an extended version of their contribution to the MLCN special issue at the Journal of Machine Learning for Biomedical Imaging (MELBA). The invited papers will go through an independent review process by the journal.

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Donders Best Paper Award:

The MLCN’s best paper award is sponsored by Donders Institute. All MLCN accepted papers will be eligible for the best paper award. The recipient of the award will be chosen by the MLCN scientific committee based on the scientific quality, novelty, and clarity of contributions. The winner will be announced at the end of the workshop and will receive a 500 USD honorarium.


Important Dates:

·       Paper submission deadline: June 25, 2022

·       Notification of Acceptance: July 23, 2022

·       Camera-ready Submission: Aug 6, 2022

·       Workshop Date: September 18, 2022

 

International Workshop on “Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)” at ICPR 2022

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Call for Papers

“Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)”

International Workshop at ICPR 2022

(2nd Edition)
https://sites.google.com/view/t-cap2022

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=== DEADLINE EXTENDED TO MAY 12!!! ====

Two types of paper are welcome::

IEEE SMC 2022 Conference: Deadline postponed to May 8, 2022

Dear colleagues,

 

Based on many requests from the authors, the organizers decided to postpone the deadline for submission of papers for the 2022 International IEEE Conference on Systems, Man, and Cybernetics IEEE SMC'2022Prague, Czech Republic (October 9-12, 2022) conference to May 8th, 2022; see https://ieeesmc2022.org/ for more details.

 

This conference is, in principle, face-to-face scientific meeting, but for the authors of accepted papers from the countries with pandemic travel restrictions will be enabled to present their contributions in a videoconference mode.

 

On behalf of the organizers

 

Vladimir Marik, Conference General Chair

Thomas Strasser, Conference Program Committee Chair

 

Call for Open Source Software Competition at ACM Multimedia 2022

ACM Multimedia is the flagship conference in the area of multimedia within the field of computer science. Multimedia research focuses on technologies that enable the use and exchange of content integrating the multiple perspectives of different digital modalities, including images, text, video, audio, speech, music, and sensor data.
 
The Open Source Software Competition is an important part of the ACM Multimedia program. The competition, now in its 18th edition, is intended to celebrate, encourage and promote the contribution of researchers, software developers and educators to advance the field by providing the community with implementations of codecs, middleware, frameworks, toolkits, libraries, multimedia players, applications, authoring tools, and other multimedia software. These resources advance the field by providing a common set of tools for building and improving multimedia research prototypes. The use of these tools also allows others to replicate research results more easily.
 
To qualify, the software must be provided with source code and licensed in such a manner that it can be used free of charge in academic and research settings. As part of the review process, the software will be built from the sources. All source code, license, installation instructions, and other documentation must be available on a public web page or on publicly available software repositories such as GitHub, Bitbucket, etc. License compatibility with other open source software is encouraged. Dependencies on non-open source third-party software are discouraged, with the exception of operating systems and freely available commercial packages.
 
Authors are encouraged to prepare as much documentation as possible, including examples of how the provided software might be used, existing prototypes that use the software, video demos, download statistics or other public usage information. Entries will be selected for inclusion in the conference program based on peer-review. The criteria for judging submissions include broad applicability and potential impact, novelty, technical depth, demo suitability, and other miscellaneous factors (e.g., maturity, popularity, compatibility with commonly used programming languages, no dependence on closed source, documentation quality, etc.)
 
Authors of selected entries will be invited to present and demonstrate their software as part of the regular conference program. In addition, accepted overview papers will be included in the conference proceedings. An overall winning entry, as judged by reviewers and the program committee, will be recognized formally at ACM Multimedia 2022.
 
Note that it is not necessary that papers in this track have large-scale experimental results or comparisons to the state-of-the-art, since it is expected that large, publicly available datasets may not be available, and there may be no existing approaches to which the proposed approach in the paper can be compared.
Submission Guidelines
Authors interested in submitting an entry to the ACM Multimedia Open Source Software Competition should make their software contribution available by providing a public URL for download and prepare a package containing the following information to be submitted via the online submission system under the Open Source Software Competition track:
 
    • A PDF file containing a 4-page max paper including an overview of the open source software package, its description, applications, intended audience, main features, etc. This overview paper should be prepared using the same guidelines and formatting as for technical papers, although due to the nature of this submission, reviews will not be double-blind. Authors will be required to sign copyright to the ACM.
    • A text or PDF file, containing the following information:
        ◦ Title of submission.
        ◦ Names and affiliations of authors (indicate students).
        ◦ In case of a large distributed project, include full list of contributors, if possible, and indicate main contact (e.g., project owner or maintainer).
        ◦ Submitters are also encouraged to tag their paper with up to two areas from the main track (see Areas for a list of the areas).
        ◦ A link to a compressed archive file that contains the software.
        ◦ The permanent link for the open source software (e.g., GitHub, Bitbucket, Sourceforge, Google Code, SVN).
 
Authors are strongly encouraged to ease the task of testing and building their code using containers or VMs, e.g., using Docker or Vagrant, or using packet manager systems, e.g., NuGet, CPM, BiiCode, Maven, Bower, etc.
 
The compressed archive file with all source code, documentation, build/install instructions, and licenses must be placed in a web accessible location. The public URL for project page where software, documentation, and open source license can be found must be included in the overview paper. Comprehensive and clear build/install instructions will be a crucial component of any submission. The evaluation committee will make reasonable effort to build the software for the top contributions, but if they are unable to make the software run, it will be excluded from the competition.
 
These documents should be submitted through the submission system.
https://easychair.org/conferences/?conf=acmmm22opensource
Please submit the paper in the PDF format and the supplementary file as a ZIP archive.

Important Dates:
The submission deadline is at 11:59 p.m. of the stated deadline date Anywhere on Earth.

Submission deadline:
15th May, 2022

Notification of Acceptance:
29th June, 2022

Camera Ready deadline:
13th July, 2022

Contacts:
For any questions regarding submissions, please email the Open Source Competition Chairs <mm22-open-source@sigmm.org>:
Stéphane Lathuilière, Télécom Paris, IP Paris, France
Zhun Zhong, University of Trento, Italy

Link: https://2022.acmmm.org/call-for-open-source-software/

Stéphane Lathuilière
Associate Prof. (Maître de conférences)
Multimedia, LTCI, Telecom-Paris
Institut Polytechnique de Paris
http://stelat.eu

Call for Papers – Symposium on Computer Vision and the Internet (VisionNet’22)

Eighth International Symposium on Computer Vision and the Internet (VisionNet'22)
https://connected-systems.org/VisionNet2022/

Co-affiliated with the International Conference on Connected Systems & Intelligence (CSI'22)
August 31, September 1-2, 2022, Trivandrum, Kerala, India

Submission Deadline: June 10, 2022
EDAS Submission Link: https://edas.info/N29721

Approved by IEEE and technically co-sponsored by IEEE Systems, Man, and Cybernetics Society

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