Max Dünnwald

PhD student in Deep Learning for medical image processing and clinical neurology @med_digit.

[Max Dünnwald @MaxDuennwald]

Excited to share our newly published work introducing ELSI-Net: a refined deep learning method that segments the locus coeruleus in MRI like a pro (conditions apply). It detects age- and Alzheimer’s dementia-related changes.
Read more: https://t.co/68uMvcKLA1

[LC meeting @LCmeeting]

Thanks to all the participants of the 3rd edition of the #LCmeeting. The past 3 days have been full of amazing talks and inspiring discussions. We look forward to meeting all the LC 🔵 enthusiasts again in Innsbruck for the next edition! ⛰️

[Soumick @SoumickAI]

Would like to detect brain tumours in clinical MRIs without training using annotations? Research paper on our StRegA pipeline has just been published by @ElsevierConnect providing a solution. Read more https://t.co/JLOx1Q3m4M
@med_digit @MaxDuennwald
#deeplearning #anomaly #mri

[Matthew Betts, Ph.D. @MTJBetts]

Noradrenaline in Alzheimer’s Disease: A New Potential Therapeutic Target
https://t.co/ZiIZ5KkXQ7

[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]

#ISMRM22 0172 (6th pitch and then Computer number 6, in Power pitch theatre 1) is on StRegA - our very own unsupervised anomaly detection pipeline and its application to brain tumour detection. This work has been done in collaboration with @med_digit @MaxDuennwald #London #ismrm

[Soumick @SoumickAI]

Five of our abstracts (4 first-authored and 1 co-authored by me, 2 in collaboration with @med_digit @MaxDuennwald, 1 in collaboration with @fpgDubost) got accepted for #ismrm2022 #ismrmesmrmb2022 @ISMRM
See you in May, in London!
@INF_OvGU @OVGUpresse
#DeepLearning #MRI

[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]

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]

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

[Max Dünnwald @MaxDuennwald]

I am happy to share that our work @med_digit on the "Localization of the Locus Coeruleus in MRI via Coordinate Regression" was accepted for oral presentation @BVM_workshop. It is a pleasure to collaborate with @MTJBetts and @DuzelLab.

[Kimberlin van Wijnen @kimvwijnen]

We are excited to be hosting the VAscular Lesion DetectiOn challenge at MICCAI 2021!
We would like to assess the current interest in the community with this brief survey: https://t.co/r07GqMOdXB
Please feel free to share this with others that might be interested :)
#MICCAI2020

[MedDigit @med_digit]

Die Vermessung des Gehirns. MedDigit in der Magdeburger Volksstimme als Teil der Kampagne "Otto ist Innovation"! https://t.co/SuznjFnaBn

[MedDigit @med_digit]

Vielen Dank an unsere engagierten Hacker und Glückwunsch zu den tollen Ergebnissen! @phil23940 @PSodmann @larissa_glass Jan Suckau #healthhack2020

[BVM - German Conference on Medical Image Computing @BVM_conf]

Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Conv Neural Nets
by @MaxDuennwald @JafraOeltze
@OVGUpresse @ucl

https://t.co/puzMbznce0
https://t.co/8tfDVbMSwf

@SpringerCompSci
@ResearchGermany
@BVM_Community
@GMDSev
@BVMI_ev
@DGBMT

[MedDigit @med_digit]

Our work "Automated Segmentation of the Locus Coeruleus from Neuromelanin-sensitive 3T MRI using Deep Convolutional Networks" accepted for presentation @BVM_workshop. In collaboration with
@MTJBetts, @DuzelLab