MedDigit

„MedDigit – Medicine and Digitalization“ focusses on continuous registration and quantitative analysis of brain structure and function of neurological patients.

[Soumick @SoumickAI]

@OVGUpresse @INF_OvGU @midl_conference @med_digit @MaxDuennwald We have proposed a reference-less SSIM regression technique for detection and quantification of motion artefacts in brain MRIs - a joint work with Alessandro from @med_digit Read more on our @midl_conference short paper: https://t.co/vRsKz1CROQ Preprint will be out shortly

[Soumick @SoumickAI]

Four of our (@OVGUpresse - @INF_OvGU - DKE) research works got accepted at @midl_conference #midl2022 as short papers, including one in collaboration with @med_digit @MaxDuennwald
Excited to get feedbacks and share ideas!! See you in #Zurich

[MedDigit @med_digit]

Hot from press: collaborative work https://t.co/ymGUS1kvjX with @Radboud_Uni and @utwenteEN on visual assistance in development and validation of Bayesian Networks for Clinical Decision Support. @unimedmagdeburg, @INF_OvGU

[MedDigit @med_digit]

MedDigit wishes Merry X’mas and Happy New Year! Stay innovative, inspired and healthy!

[Max Dünnwald @MaxDuennwald]

We recently published our approach to fully automated MRI-based analysis of the Locus Coeruleus in aging and Parkinson's Disease! https://t.co/ZSgTYJHeVa
It is a great collaboration with @MTJBetts and @DuzelLab and I am looking forward to exploring new ideas in future work.

[MedDigit @med_digit]

Our student Anna Kleinau will present the development of DoctorBN, a Clinical Decision Support System, which originated in collaboration with our Dutch colleagues from @radboudumc and @utwenteEN, at the upcoming #AIxAI2021 workshop #SMARTERCARE on Nov 29. Great work!

[MedDigit @med_digit]

Our collaborative study on Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI has just been published in Magn Reson Med. https://t.co/zbH9GPSCST
Thanks to all our collaborators at BMMR, @DZNE_de, @LIN_Magdeburg and @unimedmagdeburg

[MedDigit @med_digit]

Many congratulations to Juliane Müller and her collaborators for receiving the Dirk Bartz Prize for Visual Computing in Medicine 2021 second place for their outstanding contribution 'Visual Assistance for Clinical Decision Support'!!! Very well deserved!!! #EuroVis2021 🥈

[EuroVis @EuroVisConf]

Do you want to know how clinical decision-making for cancer patients can be supported? Please visit the Dirk Bartz Prize nominated talk about ""Visual Assistance in Clinical Decision Support"". #ClinicalDecisionSupport #DirkBartzPrize @med_digit

[Laura Garrison @_Laura_Garrison]

Looking forward to presenting our Intregated Dual Analysis + DimLift joint work between @BergenMMIV and @med_digit at the CEDAS conference poster session today! If you’re attending physically, I’ll be at poster 2, else hopefully see some people on the discord :)

[MedDigit @med_digit]

The work of our collaborators at https://t.co/bNDUTpKTty, https://t.co/5VpiZ8e4dB and us on ‘ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning’ has been accepted for presentation at @eusipco2021!
Stay tuned and see you virtually in august!

[MedDigit @med_digit]

Awesome! Our manuscript (https://t.co/bsoPzdheFW) on "Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom" by Falk Luesebrink and his collaborators at https://t.co/bNDUTpKTty has just been published @ScientificData.

[MedDigit @med_digit]

The work of our collaborators at BMMR (https://t.co/67RxBZ2gOi), DKE (https://t.co/9aWjxkzr0u) and us on ‘ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning’ has been accepted for presentation at @eusipco2021!
Stay tuned and see you virtually in august!

[MedDigit @med_digit]

Abstract accepted for #AAIC2021! Huge congrats @MaxDuennwald, @JafraOeltze and our collaborator @MTJBetts @DZNE_de for their work on automated segmentation of the Locus Coeruleus in aging and AD using 3T neuromelanin-sensitive MRI.

[MedDigit @med_digit]

Great news from #ISMRM21! Our 3 abstracts on anomaly detection, k-space reconstruction and super-resolution have been accepted!

[MedDigit @med_digit]

Work on hierarchical data exploration through dimensional bundling (DOI: 10.1109/TVCG.2021.3057519, https://t.co/fT0f7bP5dI) together with our collaborators @bioVisLaura, @HelwigHauser, @StefanBruckner_, @UniOVGU

[MedDigit @med_digit]

Our work on the simultaneous visual analysis of mixed quantitative and qualitative high-dimensional data has been published (https://t.co/j8q2494bv1, source code: https://t.co/t1spJzAbht)
@bioVisLaura , @HelwigHauser, @StefanBruckner_ @UniOVGU.

[MedDigit @med_digit]

Want to know how research data management can be of help for neuroscience? Learn more at: https://t.co/4XgbbZ6Y70 and https://t.co/qU8kisFgBY

[MedDigit @med_digit]

Very proud that results of our collaboration with BMMR@OVGU https://t.co/7eXccybxFM on motion correction of MR images were presented at #medneurips @NeurIPSConf. Congratulations @soumick1993 and Alex Sciarra!

Video: https://t.co/ea1hQ83BEq

Paper: https://t.co/zAPriClGCh