Alessa Hering (@AlessaHering) profile picture

Alessa Hering

@AlessaHering

Assistant Professor @DIAGNijmegen and Research Scientist @FraunhoferMEVIS - Oncology, Image Registration, Deep Learning

Joined November 2019
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Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)Photo by Alessa Hering (@AlessaHering)
🎓Are you looking for an exciting and meaningful PhD position? We offer a PhD position on multimodal AI for urologic cancer within the @COMFORT_EU projects. Join us and apply now: diagnijmegen.nl/vacancies/co…
Image from Alessa Hering (@AlessaHering)
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We all know that no AI algorithm will work for every single patient. But what if there was a way to know which cases AI will perform well and which cases it's most likely giving a wrong prediction? Curious? Join our #RadAIchat tonight to find out more!
Image from Natália Alves (@BcalvesNatlia)
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A novel semisupervised learning method leverages clinical reports to guide voxel-level labels doi.org/10.1148/ryai.230031 @joeranbosma @anindox8 @radboudumc #SemisupervisedLearning #ProstateCancer #prostate
Image from Radiology: Artificial Intelligence (@Radiology_AI)
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Semisupervised learning guided by clinical reports achieved similar csPCa detection performance with supervised learning while significantly reducing annotation burden buff.ly/3rPLule @anindox8 @MaartendeRooij @radboudumc #Semisupervised #ML #MachineLearning
Image from Radiology: Artificial Intelligence (@Radiology_AI)
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Are you working on assessing lesions via segmentation, detection, or classification? Are you interested in their assessment during follow-up evaluations? If so, consider submitting to the LEAF workshop @MICCAI_Society and contribute to the improvement of patient care!
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Topics of interest include: - Detection, segmentation, classification of lesions and other abnormal structures - Techniques for longitudinal evaluation (e.g., registration, tracking)  - Follow-up assessment (interval change) - Handling incomplete/noisy data
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The submission deadline is 12. July 2023, 23:59 (PST). 🔗 For more information visit lnkd.in/eMqvz5e6 The workshop is co-organised by Tejas Sudharshan Mathai, Pritam Mukherjee, Max de Grauw and myself.

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We are very excited to announce that both #MIDL2023 and #MIDL2024 will feature a journal-to-conference track, in partnership with @MELBAJournal !
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Do you work on ML for image registration? We have a special issue for you. Submissions are due Sep 1, 2023. Reviews will be streamlined. Guest editors: @vam_zimmer, @AlessaHering & Mattias Heinrich. Details are here: melba-journal.org/blog/012-s…
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Alessa Hering retweeted
COMFORT-AI (@COMFORT_EU) profile picture
COMFORT-AI@COMFORT_EU3 May 2023
🎓Are you aspiring to pursue a doctorate in computing science? Our #COMFORTproject partner @umeauniversity is looking for a #PhD student with a focus on trustworthy #AI-empowered #healthcare solutions. Join forces with top minds & apply now: umu.varbi.com/en/what:job/jo…
Image from COMFORT-AI (@COMFORT_EU)
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🚨 Excited to share that Veronika (@DrVeronikaCH) and I are organizing the webinar series: Datasets through the L👀king-Glass 🤝 We aim to bring together scientists interested in understanding how the data affects the algorithms and society as a whole. purrlab.github.io/webinar/
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Remember to register your paper until 08.01.2023! Submission deadline is 15.01.2023! Looking forward to many exciting manuscripts.
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Super excited: The first MIDL Autumn Academy has just kicked off! Happy to welcome so many interested participants today!
Image from @midl-conference.bky.social (@midl_conference)
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Assessing #tumor #followup #CT takes too much time? #AI can speed up the #clinicalWorkflow. Find out more at #RSNA22, South Hall L3 booth 2205 s.fhg.de/RSNA22 #Radiology #Oncology
Image from Fraunhofer MEVIS (@FraunhoferMEVIS)
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You are not at NeurIPS or RSNA? Then join the MIDL Autumn Academy on reproducibility on Wednesday, November 30 at 3pm! More information here: midl.io/autumn-academy
@midl-conference.bky.social (@midl_conference) profile picture@midl-conference.bky.social@midl_conference28 Nov 2022
We are looking forward to welcome you at our MIDL Autumn Academy 2022 on November 30th. This years tutorial topic: Making your research reproducible! Free registration! More info here: midl.io/autumn-academy
Autumn Academy - MIDL

Autumn Academy - MIDL

midl.io
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Replying to @RSIPvision
@RSIPvision featured in their latest magazine my PhD thesis about deep-learning-based image registration and tumor follow-up analysis - rsipvision.com/ComputerVisio… ! Thank you for giving me the opportunity to talk about my research! @FraunhoferMEVIS, @radboudumc, @miccai_sigbir
Image from Alessa Hering (@AlessaHering)
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Do you wonder why the CT device on my cover is exploding? I would like to see AI as the colorful magic that helps us rather than a black box that we don’t understand. I find the term “black box” way too negative – therefore the cover of my thesis 😉
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Do you wonder how to best run your challenge? Which platform should you use? Join our next webinar on how to run a challenge! @MiccaiStudents @MICCAI_Society 🗓️ Oct 25th, 2022 at 9am EDT, 3pm CEST 🔗 Free registration: bit.ly/BIAS1025
Image from MICCAI SIG for Challenges (@bias_sig)
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Alessa Hering retweeted
GeoMedIA (@GeoMedIA22) profile picture
GeoMedIA@GeoMedIA2218 Oct 2022
⚠️ Our detailed programme with is now out! Packed programme of fantastic oral and poster sessions, and keynote talks! ➡ Check out the Conference Programme: geomedia.amsterdam Stay tuned -- more amazing news coming soon! @erikjbekkers @jelmerwolterink @aviles_rivero
Image from GeoMedIA (@GeoMedIA22)
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Since its launch, MIDL has been committed to openness and transparency in #Medical #imaging research. Thus, we now take the logical next step: MIDL is hosting challenges! Maybe, your challenge will be the first? Read the official call for challenges here: midl.io/call-for-challenges.…

Call for challenges - MIDL

midl.io
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Congratulations to MEVIS and @DIAGNijmegen researcher @AlessaHering for successfully defending her #PhDThesis s.fhg.de/q3C at @Radboud_Uni! #DeepLearning #ImageRegistration
Image from Fraunhofer MEVIS (@FraunhoferMEVIS)
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