From bertrand.thirion at inria.fr Tue Jul 11 17:01:54 2023 From: bertrand.thirion at inria.fr (Bertrand Thirion) Date: Tue, 11 Jul 2023 23:01:54 +0200 Subject: [Neuroimaging] GogBases: Cognitive neuroscience meets neuroinformatcis Message-ID: Want to learn about using large databases and open source software for MR-based neuroscience? Come to CogBases in Paris this Oct.: https://neuroanatomy.github.io/cogbases-2023 Check the speaker list including Pierre Bellec, Russ Poldrack, Sarah Genon, Camille Maumet, J?r?me Dockes and Angela Laird? and the tutorials from Justine Hansen, Timo Disckscheid, Alexis Thual and Demian Wassermann. Register here: https://docs.google.com/forms/d/e/1FAIpQLScZLHB5Ybf4fliCGbZ9k0cSaXpyLlyH-BIz1GMr4Wns35LA8g/viewform Best, Bertrand -------------- next part -------------- An HTML attachment was scrubbed... URL: From pestilli at utexas.edu Thu Jul 13 18:18:57 2023 From: pestilli at utexas.edu (Franco Pestilli) Date: Fri, 14 Jul 2023 00:18:57 +0200 Subject: [Neuroimaging] 2023 Big Data neuroscience workshop at Ohio State Message-ID: Dear Colleagues We would appreciate it if you could help us by spreading the word about the meeting below. The 2023 ACNN workshop registration is open! *Fill out registration form here* The *Advanced Computational Neuroscience Network (ACNN) Big Data Workshop for 2023 will be taking place September 14 and 15* at the Ohio State University. This conference will feature national and international experts in neuroimaging, biomedical research, neuroscience, and data science, with a focus on highly dense behavioral and physiological data integration. The speakers will address challenges and successes in the integration of multimodal, multidimensional, multiscale data, regarding data standards, representation, and sharing. A workshop on the second day will focus on reproducible methods in neuroimaging. Students and trainees are encouraged to register and present a poster in the datablitz and poster sessions, and to interact with the speakers! Posters and presentations on neuroimaging, deep phenotyping analyses, heterogeneous dataset analyses with relevance to human neuroscience, and neuroinformatics, for example, are all welcome. The schedule of speakers and topics is in the attached flier, and on our website!! *To be eligible for partial travel awards or to present your research (as poster and/or lightning talk), please submit an abstract by August 18, 2023 *(as part of registration). *Fill out registration form here* Detailed information can also be found here: https://neurosciencenetwork.org/ACNN_Workshop_2023.html On behalf of the ACNN 2023 organizing committee, Lei Wang, The Ohio State University Jessica Turner, The Ohio State University Ruchika Prakash, The Ohio State University Xia Ning, The Ohio State University Dhabaleswar Panda, The Ohio State University Chelsea Kane, The Ohio State University Tim Lucas, The Ohio State University Satya Sahoo, Case Western Reserve University Franco Pestilli, University of Texas at Austin Ivo Dinov, University of Michigan at Ann Arbor *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* Department of Psychology | College of Liberal Arts | The University of Texas at Austin he/him | pestilli at utexas.edu | web | GitHub | Founder and Director brainlife.io Co-Chair Data Working Group internationalbraininitiative.org Director Wellcome-Kavli International Governance for Neurodata Director Brain Imaging Data Structure (BIDS) Connectivity Project Program Committee Association for Psychological Science CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. -------------- next part -------------- An HTML attachment was scrubbed... URL: From garyfallidis at gmail.com Fri Jul 28 06:59:01 2023 From: garyfallidis at gmail.com (Eleftherios Garyfallidis) Date: Fri, 28 Jul 2023 06:59:01 -0400 Subject: [Neuroimaging] Join QuantConn a MICCAI 2023 harmonization challenge for dMRI data! Message-ID: Hello Imagers!, This summer I am involved with the co-organization of a really exciting scientific challenge. Therefore, I am writing to introduce you to QuantConn , a MICCAI 2023 competition that aims to address the challenge of harmonizing diverse DW (Diffusion-Weighted) images acquired from two distinct diffusion acquisition protocols, both collected in the same scanning session. [image: image.png] The primary objective of this competition is to preprocess the DW images from the two acquisition protocols, making them as similar as possible while preserving key information. We encourage participants to explore a wide range of methods and techniques within the preprocessing pipeline to achieve this goal. Your innovative solutions could include explicit image harmonization methods, denoising approaches, super resolution techniques, or any other strategies that effectively retain the biological differences while mitigating the disparities caused by different acquisition protocols. Here are some key details regarding the competition: - Dataset: Thanks to our colleagues at QIMR Berghofer Medical Research Institute, we have curated a newly released dataset comprising 100 subjects with paired data from two distinct diffusion acquisition protocols. The dataset is available for download here https://vanderbilt.app.box.com/s/owijt2mo2vhrp3rjonf90n3hoinygm8z/folder/208448607516 . - Evaluation: The submitted harmonized images will be evaluated based on their similarity metrics for microstructure, macrostructure, and connectomics. - Prizes: We will be awarding generous prizes to the top performers. Participating teams will also be included as co-authors on the subsequent journal publication. - Registration: One person from the team should fill out this form . We have set up a box.com folder where you will upload your submission. There is no fee for challenge entry. You do not need to attend MICCAI to participate, but we would love to see you in Vancouver. - Eligibility: This competition is open to anyone except the organizing committee. To register for the competition and gain access to the dataset and detailed guidelines, please visit our competition website . We highly encourage you to participate in this captivating competition, as your expertise and insights can contribute significantly to the advancement of image harmonization techniques in medical research. By joining this event, you will not only have the chance to demonstrate your skills but also make a meaningful impact on the field. Thank you for considering this opportunity, and we look forward to your contributions in the QuantConn Challenge! The QuantConn Organization Team include: Nancy Newlin, Computer Science, Vanderbilt University Kurt Schilling, Radiology, Vanderbilt University School of Medicine Neda Jahanshad, Keck School of Medicine, University of Southern California Daniel Moyer, Computer Science, Vanderbilt University Eleftherios Garyfallidis, Intelligent Systems Engineering, Indiana University Bennett Landman, Electrical and Computer Engineering, Vanderbilt University Serge Koudoro, Intelligent Systems Engineering, Indiana University Bramsh Chandio, Keck School of Medicine, University of Southern California Dataset contributions: Margaret J. Wright, Lachlan Strike Strike, Lachlan T. and Blokland, Gabriella A.M. and Hansell, Narelle K. and Martin, Nicholas G. and Toga, Arthur W. and Thompson, Paul M. and de Zubicaray, Greig I. and McMahon, Katie L. and Wright, Margaret J. (2023). Queensland Twin IMaging (QTIM). OpenNeuro. [Dataset] doi: doi:10.18112/openneuro.ds004169.v1.0.7 Should you have any questions or require further clarification, please do not hesitate to reach out to us at nancy.r.newlin at vanderbilt.edu. We are here to support you throughout the competition journey. Thank you all & Happy Hacking!, Eleftherios Garyfallidis, PhD Director of Graduate Studies Associate Professor Intelligent Systems Engineering Indiana University Luddy Hall 700 N Woodlawn Bloomington, IN 47408 GRG | DIPY | FURY -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 2055756 bytes Desc: not available URL: