Niklas TIllmanns

Research fellow at BTRG @YaleRadiology | medical student @HHU_de | MD candidate @MedHHU

[Scientific Reports @SciReports]

Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas, by @NTillmanns, @MariamAboian, and colleagues
https://t.co/MigHr70jNF

[Mariam Aboian @MariamAboian]

"Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in GBM" @NTillmanns #ImagineQuant published @SciReports in collab w/ @YNeurosurgery Dr. Moliterno & @Visage_Imaging @MingDeLin1234 https://t.co/8rT4DobhOy

[Niklas TIllmanns @NTillmanns]

Poster Session at #EANO2023 @EANOassociation coming up!
Feel free to step by and discuss our findings and speed up of imaging phenotype analysis, over wine and cheese🍷

[Mariam Aboian @MariamAboian]

Building Relational Databases in NeuroOnc by linking Imaging Software w Electronic Medical Record using FHIR forms 🔥🤩 Make sure to stop by @NTillmanns poster today @EANOassociation #EANO2023 Identifying imaging phenotypes of CDKN2A co-deleted GBM. Collab w Dr Moliterno-Gunel

[Ichiro Ikuta, MD, MMSc @radiology_ninja]

Very cool brain tumor #AI challenge!🧠
👇
https://t.co/5ekDlqO0MV
👆

[Niklas TIllmanns @NTillmanns]

It was a pleasure to have such an amazing mentor @MariamAboian and to work with all those incredible people #ImagineQuant. You really made this a special time.

[Mariam Aboian @MariamAboian]

@NTillmanns presenting his medical school thesis work #ImagineQuant @YaleRadiology: 22 national and international meeting abstracts, 5 publications, RSNA Scholar Award, Research Fellowship, Travel Scholarships to @theASFNR & @ASNR. @YaleMed #Neurosurgery @YNeurosurgery @dcmadoff

[Niklas TIllmanns @NTillmanns]

(4/4) After my second conference as a #Medstudent, I have to thank @MariamAboian for your great mentorship and constant support. And to all the other people who made this possible @HHU_de @YaleRadiology and especially everyone in our great lab #ImagineQuant.

[Niklas TIllmanns @NTillmanns]

(1/4) Thanks to @theASFNR for this fantastic meeting, it was a really great opportunity for education and meeting new people. Even though #ASFNR22 is over, there is still time to review our abstract on automatic segmentation of gliomas in PACS in the #Whova app.

[Niklas TIllmanns @NTillmanns]

(3/4) I also recommend our educational exhibit that provides background on patient data ownership in the EU and US as it relates to AI research in neuroradiology in the #Whova app @theASFNR @MariamAboian @radiology_ninja @maxkallinich #ASFNR22

[Arman Avesta, MD, PhD @ArmanEAvesta]

#ASFNR22 was one of the most memorable conferences ever! Impressive speakers, solid scientific program, and emphasis on work-life balance with lots of fun activities!

"Work with good people" truly paid off, @hsairmd! Thank you for organizing such a top-notch conference 🙏👏🧠🔥

[American Society of Functional Neuroradiology @theASFNR]

Check out Educational Exhibits, Oral Presentations, & Scientific Posters in the Whova app!
#ASFNR22
@theASFNR
@hsairmd
🧠

[Niklas TIllmanns @NTillmanns]

@marcvonreppert with an outstanding presentation on PACS integration of volumetric measurements in pediatric LGG #ImagineQuant #ASFNR22 @MariamAboian @YaleRadiology @theASFNR

[Leon Jekel @LeonJekel]

Day 2 of #ASFNR22 off to a great start! Come find a nice spot in the shade and check out our Abstract at 15th Annual Meeting of the ASFNR ⁦@theASFNR ⁩⁦⁦⁦⁦@marcvonreppert⁩ ⁦@ArmanEAvesta⁩ ⁦@MariamAboian⁩ #NeuroRad #RadAI - via #Whova

[Ichiro Ikuta, MD, MMSc @radiology_ninja]

Great presentation, @MariamAboian (@YaleRadiology/@YaleInformatics)! Phenomenal results with real-world clinical solutions & impact through #informatics/#AI! And mentoring the next generation, bravo!
#ASFNR22
🧠

[Niklas TIllmanns @NTillmanns]

Great presentation by my amazing mentor @MariamAboian at #ASFNR22 on our work on AI integration into clinical PACS and why creating the underlying databases is crucial. #NeuroRad #RadAI @YaleRadiology @theASFNR

[Niklas TIllmanns @NTillmanns]

This wouldn’t have been possible without the team!
Thank you to @MariamAboian for your exceptional mentorship and making my first publication possible!

[Mariam Aboian @MariamAboian]

Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries https://t.co/QLUPMe1N50 @NTillmanns @averyelliotlum @GabrielCassine1 @MerkajSara @tejverma0723 @Ryan_Bahar

[Mariam Aboian @MariamAboian]

Thank you ⁦@AsherMarksMD⁩ ⁦@YalePediatrics⁩ for inviting our group to Pediatric CNS Oncology Retreat! It was great exchange of ideas and everyone learned so much! ⁦@ranjitbindra⁩ ⁦@YaleCancer⁩ ⁦@YaleRadiology⁩

[Mariam Aboian @MariamAboian]

Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities https://t.co/MJFiC74iLh #mdpicancers via @Cancers_MDPI @YaleRadiology

[Mariam Aboian @MariamAboian]

Congratulations #team ⁦@YaleRadiology⁩ ⁦@Yaleneuroradio1⁩ ⁦@TheASNR⁩ #ASNR22 ⁦@MingDeLin1234⁩ ⁦@Jan_Lost_⁩ Chris ⁦@LeonJekel⁩ ⁦@MalteWesterhoff⁩ @MerkajSara⁩ ⁦@marcvonreppert⁩ ⁦@DixeIrene⁩ ⁦@NTillmanns⁩ #BTRG_qMIT

[Sex porn @DixeIrene]

So grateful to have been accepted to present multiple projects at @theASFNR! And so proud that many of my colleagues and friends will be joining: @Jan_Lost_, @LeonJekel, @NTillmanns! All thanks to our great mentor @MariamAboian! Maui, here we come! ☺️☀️🏝😎