Johannes Hofmanninger
@joh_hof
Head of Research & Development at contextflow
ID: 1324275860
03-04-2013 10:10:01
49 Tweet
69 Takipçi
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Happy to present our work 'Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition' at #IPMI2021 starting today. Check out our poster teaser ipmi2021.org/papers/122/ and full paper arxiv.org/abs/2106.03351 CIR Lab Georg Langs Johannes Hofmanninger
Check out our new paper on continual learning with medical imaging published today in Nature Communications. Georg Langs Johannes Hofmanninger Holger Prosch James Brink, MD
.Matthias P, Georg Langs, Johannes Hofmanninger et al propose a continual learning approach for medical imaging models to deal with domain shifts occurring at unknown time points CIR Lab. go.nature.com/3mjAgic
In our new paper published today Machine Learning for Biomedical Imaging we propose a continual active learning method to keep machine learning models for #medicalimaging up to date while keeping the manual annotation effort low CIR Lab Georg Langs Johannes Hofmanninger Holger Prosch melba-journal.org/papers/2022:00…
Wir (contextflow & Johannes Hofmanninger) freuen uns, dabei zu sein und auf einen spannenden Austausch. #AI #KI #Radiologie #Radiology #ItsAllAboutImaging #ETIM2020 #Essen.
Another busy week for team contextflow, this time heading to Essen for #ETIM22 where Senior #ML Engineer Johannes Hofmanninger will give a talk on "Data-centric development of machine learning models for clinical practice". Full details here: etim.uk-essen.de
New paper by Sebastian Röhrich et al. Impact of a content-based image retrieval system on the interpretation of chest CTs of patients with diffuse parenchymal lung disease in European Radiology link.springer.com/article/10.100… Holger Prosch Georg Langs contextflow BigMedilytics
Come see a talk by Matthias Perkonigg: Continual Active Learning for Efficient Image Labeling while Image Characteristics Change - Session: RPS 2305, Jul 17, 09:30 - 10:30 #ECR2022 MedUni Wien myesr CIR Lab Matthias P Holger Prosch Johannes Hofmanninger Georg Langs
Congrats to several of our team members and advisors for the most downloaded article 2021 from @ESR_Journals! Johannes Hofmanninger Florian Prayer,Jeanny Pan Sebastian Röhrich,Holger Prosch and Georg Langs. Looking forward to what comes out of @cir_labLab at MedUni Wien next! #EuropeanRadiology
77 mio years of cerebral cortex evolution reconstructed. New CIR Lab paper by E Schwartz, KH Nenning, katja heuer🐘[email protected]🦋k4tj4.bsky.social, nnnnnnnn @OrnellaBertrand Roberto Toro [email protected] r3rt0.bsky.social, G Kasprian, D Prayer, and Georg Langs: doi.org/10.1038/s41467… in Nature Communications MedUni Wien Brainhack
New case posted on the Collective Minds® platform: can you spot the easy-to-miss nodule? 🔎 Sign up or login to leave us a comment! zurl.co/4EXd #lcs #lungcancer #pulmonarynodule #AI
🥇 The most cited 2023 #EuropeanRadiologyExperimental article compared four #DeepLearning approaches trained on various datasets related to lung segmentation, illustrating importance of data diversity. (Johannes Hofmanninger et al., Georg Langs, contextflow) Kudos! 🔗buff.ly/43c5M5d
