Hongfu Sun

ARC DECRA Senior Lecturer, University of Newcastle (MRI, Deep Learning)

[Hongfu Sun @sunhongfu]

Happy to see our paper accepted by NeuroImage (@NeuroImage_EiC) at the very end of the year! We have proposed a deep-learning QSM reconstruction for acquisitions of arbitrary orientation and resolution. Check out the pre-proof here:

https://t.co/BPS1WuG53p

[ESMRMB @ESMRMB]

🗳️ Registration open for MRI Together 2023 Event!

https://t.co/uLGBcEyKZL

Join us online from 6-8 Dec for open, reproducible, inclusive MR research. 🌍 Online 🖥️, 🆓 and across different time-zones 🌍
https://t.co/4S6fNR3fNf
#MRItogether23 #ESMRMB

[Karen Caeyenberghs @KCaeyenberghs]

Registration is now open for the 5th Annual meeting of the ISMRM-ANZ, which will take place 30th November – 1st December 2023: https://t.co/cL1fuHeUXi
Abstract submissions are due by Monday 16th October 2023. You can download the abstract template here: https://t.co/6sg59Qn0nK

[UCSF Neurosurgery @NeurosurgUCSF]

Out today in @Nature, new research by @ChangLabUcsf has set a new benchmark for a speech neuroprosthesis that can allow people with severe speech paralysis to communicate. https://t.co/fh6g3tRiWs @UCSF @UCSFHealth #ucsfweill

[Karen Caeyenberghs @KCaeyenberghs]

Join us for a morning of learning! We will be hosting our second virtual QSM workshop on Tuesday 25th of July at 10am AEST.

Register now: https://t.co/llBwFkPXJr

[Shakes Chandra @shakes76]

Honoured to give an Educational Session: "Deep Learning: From Mathematical Models to Clinical Practice" talk today at @ISMRM All the best to all the other speakers and attendees at the conference!

[Sophie Schauman @sophieschau]

📢MRI Together is just around the corner! Register now for four days of open science at #MRITogether22
save your spot at https://t.co/Qdlp1WAuUg today.
Loads of fantastic sessions and speakers scheduled,(https://t.co/Lz0McazygC)

[ESMRMB @ESMRMB]

Open science starts with inclusive science! Join us for exciting talks at #MRITogether by @MicrobiomDigest, @russpoldrack, @y_ohene, and more fantastic researchers and pioneers of open science - see our full schedule here: https://t.co/7NTHrx1YRf

[Daniel Hoinkiss @DHoinkiss]

Join us soon at #MRITogether! MRITogether is a global online event on open, reproducibile, and inclusive #MRI research starting on Dec 5. And it is FREE! Don’t forget to register here: https://t.co/xYE3o4XsWl

[Hongfu Sun @sunhongfu]

📢Register now for four days of open science at #MRITogether22
save your spot at https://t.co/FaYjY8ryah today.
Loads of fantastic sessions scheduled,(https://t.co/Ffd0tSNNrS). Abstracts also more than welcome!
@ESMRMB @mrm_highlights

[ISMRM Electromagnetic Tissue Properties Group @emtpISMRM]

QSM as means to investigate iron changes due to prenatal alcohol exposure (PAE): The authors found volume, but no significant QSM changes in children with PAE compared to non-exposed children

https://t.co/00cq8fF6ok

[ISMRM_ANZ @ISMRM_ANZ]

We are thrilled to have Dr Hongfu Sun (@sunhongfu) kick off proceedings at our upcoming QSM workshop - presenting an overview of QSM and deep learning for QSM!

Tuesday September 6th 2022 - 10am
Register here: https://t.co/xAOTDK7T9B

[Hongfu Sun @sunhongfu]

PyTorch codes and pre-trained models are available on GitHub:

https://t.co/hWEXWhRM4d

[Hongfu Sun @sunhongfu]

Very excited to advertise our NeuroImage paper (@NeuroImage_EiC ) on a single end-to-end deep neural network taking in raw phase and output local field map and QSM in 0.1 s. We named the method instant QSM or iQSM.

https://t.co/F3PJgp9Yz3

[Hongfu Sun @sunhongfu]

@AlinaBeeTweets @jeremyphoward @shakes76 Interesting faces 😂

[Hongfu Sun @sunhongfu]

@ProfMRI @IvesLevesque Oh no 😪

[Snow Medical @SnowMedical]

Snow Medical has taken the difficult decision to suspend the University of Melbourne from its prestigious Snow Fellowship program. We are committed to working with the University to ensure real change happens.

Read our statement here:
https://t.co/W6ayBvKYfp

[[email protected] @sbollmann_MRI]

Great PhD opportunity in our new project with @MarkusBarth2, @shakes76 & @SiemensHealth to improve the effectiveness and trustworthiness of deep learning for quantitative magnetic resonance imaging and translating the developments to the Siemens platform: https://t.co/rQXxkMz3Lr

[Hongfu Sun @sunhongfu]

Two full scholarships available

[Hongfu Sun @sunhongfu]

Phd opportunities @UQSchoolITEE : AI on medical imaging https://t.co/bwOvbLPxUH