posted by user: nickgentoo || 1431 views || tracked by 3 users: [display]

DL4BRAIN 2019 : CFP Special Session on Deep learning for brain data (DL4BRAIN) @ IJCNN 2019

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/view/dl4brain
 
When Jul 14, 2019 - Jul 19, 2019
Where Budapest, Hungary
Submission Deadline Jan 15, 2019
Notification Due Feb 28, 2019
Categories    brain data   deep learning   machine learning   computational neuroscience
 

Call For Papers

** Apologies for cross-posting** CFP [Deadline extended]:

Special Session on "Deep learning for brain data"
2019 International Joint Conference on Neural Networks (IJCNN)
July 14-19 2019, Budapest, Hungary
https://sites.google.com/view/dl4brain

Important Dates:
Paper submission: EXTENDED to 15 January 2019
Notification of acceptance: 28 February 2019

Aims and Scope:
Structural and Functional techniques to investigate brain, such as MRI, CT scan, fMRI, EEG, PET, are nowadays widely used both for basic research (for instance on cognition) or for clinical purposes (for instance diagnosis of brain based disorders). In the past two decades, scientists have tried to use these techniques to study brain functioning, to investigate human cognition, to assist the diagnosis of brain-based disorders, and to try to predict the prognosis of patients.
Unfortunately, the attempts to find a technique that achieve results with the potential to be translated to daily practice have not succeeded due to the presence of complex, distributed and subtle individual differences that are difficult to detect using standard statistical techniques.
Very recently, this research field witnessed an exponential increased interest in the application of Machine Learning (ML) methods, and in particular of Deep Learning (DL), to brain data to support researchers in the study of cognition and to support clinicians in the diagnosis and prognosis of brain-based disorders. To date, applications of ML/DL techniques to brain data is still an under-investigated field of research.

The aim of this special session is twofold: first, it provides a point of contact between scientists and researchers from the machine learning and medical communities (medicine, neuroscience, psychology, psychophysiology, etc.), encouraging a multidisciplinary view on open problems.
Second, it provides a forum to present original ideas, theories and novel applications of ML/DL to brain data, and to find solutions to open issues.
Topics that are of interest to this session include, but are not limited to:
- Presentation of new structural and functional brain data databases;
- Computer vision applied to MRI, fMRI, DTI, PET;
- Time series analysis applied to EEG;
- New advancement in Deep Learning algorithms for brain data;
- Application of Deep Learning to brain data to study cognition (e.g., attention, language, memory, decision making, problem solving, spatial abilities);
- Application of Deep Learning to brain data for clinical diagnosis and prognosis of psychiatric and neurologic disorders;
- Application of Deep Learning to brain data for identification of risk factors of neurologic and psychiatric disorders;
- Application of Deep Learning to evaluate the impact of inter-scanner variability on the results;
- Multicentric studies on brain MRI data;
- Integrating functional and structural information to enhance clinical diagnosis and prognosis;
- Integrating functional and structural information to enhance the understanding of cognitive processes;

Submission:
- For paper guidelines please visit https://www.ijcnn.org/paper-submission-guidelines
- For submissions please select the single topic "S10. Deep learning for brain data" from the "S. SPECIAL SESSIONS" category as the main research topic on https://ieee-cis.org/conferences/ijcnn2019/upload.php

Organisers:
- Nicolò Navarin, University of Padova, Italy
- Cristina Scarpazza, University of Padova, Italy
- Merylin Monaro, University of Padova, Italy
For any enquire, please write to: nnavarin [at] math.unipd.it, cristina.scarpazza [at] unipd.it or merylin.monaro [at] unipd.it

Related Resources

ISBDAI 2020   【Ei Compendex Scopus】2020 International Symposium on Big Data and Artificial Intelligence
ICML 2020   37th International Conference on Machine Learning
IEEE AIML4COINS 2020   IEEE AIML4COINS2020 | Artificial Intelligence | Machine Learning | Deep Learning | Machine Vision | Big Data Analytics | Video Analytics | Speech Recognition | NLP
ICDMML 2020   【EI SCOPUS】2020 International Conference on Data Mining and Machine Learning
MNLP 2020   4th IEEE Conference on Machine Learning and Natural Language Processing
IEEE-CVIV 2020   2020 2nd International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2020)
CVPR 2020   Computer Vision and Pattern Recognition
AICA 2020   O'Reilly AI Conference San Jose
MAAIDL 2020   Springer Book 'Malware Analysis using Artificial Intelligence and Deep Learning'
CMES_RADLMSA 2020   CMES_Recent Advances on Deep Learning for Medical Signal Analysis (IF: 0.796)