MLCN 2020

The 3rd international workshop on machine learning in clinical neuroimaging (MLCN2020) aims to bring together the top researchers in both machine learning and clinical neuroimaging. This year the workshop is organized in two tracks 1) machine learning and 2) clinical neuroimaging.

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

  • 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, we invite the community to submit applications of existing machine learning approaches to address major challenges towards reaching precision medicine for brain disorders. 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

Recent Posts

The MLCN2020 Best Paper Award

Based on the evaluation of the MLCN 2020 scientific committee members on the scientific content, significance of the contribution, and clarity of the communication, the MLCN2020 best paper award is presented to Naresh Nandakumar and his coauthors Niharika  S. D’Souza, Komal Manzoor, Jay Pillai, Sachin Gujar, Haris Sair, and Archana Venkataraman for the paper entitled … Continue reading The MLCN2020 Best Paper Award

Guidelines for Recording your Presentation using Zoom

Please make sure you have already prepared:  Your computer with either Windows or MacOs. Your presentation: Please use 16:9 aspect ratio for your slides. An internet connection. Headphones and a high-quality microphone. A webcam. To record your presentation, using the Zoom platform. Download and install the “Zoom Client for Meetings” Software from https://zoom.us/support/download if you haven’t already. … Continue reading Guidelines for Recording your Presentation using Zoom

MLCN 2020: Keynote by Dr. Duygu Tosun

Title: Impact of AI and deep learning on imaging of neurodegenerative diseases Abstract: Biomarkers have become increasingly important to understand the biology of neurodegenerative diseases. We now see a paradigm shift recasting the definition of neurodegenerative disease in living people from syndromal to a biological construct. Effective implementation of such biological constructs though requires widespread availability of … Continue reading MLCN 2020: Keynote by Dr. Duygu Tosun

MLCN 2020: Keynote by Dr. Jorge Cardoso

Title: AI-enabled Neurology, Dealing with the real world Abstract: Recent developments in artificial intelligence and the availability of large scale medical imaging datasets allow us to learn how the human brain truly looks like from a biological, physiological, anatomical and pathological point-of-view. This learning process can be further augmented by diagnostic and radiological report data … Continue reading MLCN 2020: Keynote by Dr. Jorge Cardoso

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