[Neuroinfo] Monash Biomedical Imaging Webinar: Dr Shenjun Zhong and Dr Kamlesh Pawar

Merrin Morrison merrin.morrison at monash.edu
Tue Feb 16 02:18:23 CET 2021


I'm hoping you can help me spread the word about a Monash Biomedical
Imaging webinar with Dr Shenjun Zhong and Dr Kamlesh Pawar, to be held on
Thursday 11 March 2021 as a Zoom Webinar.

I have attached a PDF flyer with information about the webinar and a photo
of the speakers, along with a screen shot of the flyer to forward on to
your mailing lists. If appropriate, could you please place copies of the
flyer in tearooms and on notice boards etc?

I have also placed this on MBI's Facebook
<https://www.facebook.com/events/760185387952598>, Twitter
<https://twitter.com/Mon_Bio_Imaging/status/1361475454071283717> and
LinkedIn <https://www.linkedin.com/company/monash-biomedical-imaging/>.

*Monash Biomedical Imaging Zoom Webinar*

*Date: *Thursday, 11 March 2021
*Time: *12:30pm - 1:15pm

*Register for this Zoom Webinar

*1. Embedding is all you need: A machine learning way to analyse white
matter tractography streamlines*

*- Dr Shenjun Zhong, Monash Biomedical Imaging*
Embedding white matter streamlines with various lengths into fixed-length
latent vectors enables users to analyse them with general data mining
techniques. However, finding a good embedding schema is still a challenging
task as the existing methods based on spatial coordinates rely on manually
engineered features, and/or labelled dataset.
In this webinar, Dr Shenjun Zhong will discuss his novel deep learning
model that identifies latent space and solves the problem of streamline
clustering without needing labelled data. Dr Zhong is a Research Fellow and
Informatics Officer at Monash Biomedical Imaging. His research interests
are sequence modelling, reinforcement learning and federated learning in
the general medical imaging domain.

*2. Application of artificial intelligence in correcting motion artifacts
and reducing scan time in MRI**- Dr Kamlesh Pawar, Monash Biomedical
Magnetic Resonance Imaging (MRI) is a widely used imaging modality in
clinics and research. Although MRI is useful it comes with an overhead of
longer scan time compared to other medical imaging modalities. The longer
scan times also make patients uncomfortable and even subtle movements
during the scan may result in severe motion artifact in the images.
In this seminar, Dr Kamlesh Pawar will discuss how artificial intelligence
techniques can reduce scan time and correct motion artifacts. Dr Pawar is a
Research Fellow at Monash Biomedical Imaging. His research interest
includes deep learning, MR physics, MR image reconstruction and computer
*Register for this Zoom Webinar at: *


Visit the MBI webinars page
for details about this and other MBI webinars.


*T:* +61 (3) 9905 0100
*E:* enquiries.mbi at monash.edu

[image: MBI Webinar Kamlesh Pawar and Shenjun Zhong.png]

Communications Officer

*Monash Biomedical ImagingARC Centre of Excellence for Integrative Brain

Monash University
770 Blackburn Road
Clayton VIC 3800
T: +61 3 9902 9792
E: merrin.morrison at monash.edu

Monash Biomedical Imaging <https://platforms.monash.edu/mbi/>
Brain Function CoE <http://brainfunction.edu.au/>
*Mondays, Tuesdays and Thursdays*

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