Alessa Hering

🎓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/comf…

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!

A novel semisupervised learning method leverages clinical reports to guide voxel-level labels doi.org/10.1148/ryai.2… @joeranbosma @anindox8 @radboudumc #SemisupervisedLearning #ProstateCancer #prostate

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

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.

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

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!

We are very excited to announce that both #MIDL2023 and #MIDL2024 will feature a journal-to-conference track, in partnership with @MELBAJournal !

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-speci…

🎓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…

@camgbus @mundt_martin @JonStie @NBabendererde @amin_ranem @kalkjo @mofuchs1 Congratulations 🎉🎉👏

Last Friday, I successfully defended my doctoral dissertation 🥹

@lena_maierhein @DKFZ_IMSY_lab @annika_reinke1 @helmholtz_image Glückwunsch @annika_reinke1 ! 🥳

Summa cum laude for our #WomenInSTEM @DKFZ_IMSY_lab role model @annika_reinke1🎊🎊🎊! Well-deserved recognition to a true team player (and lead)! @helmholtz_image

🚨 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/

Remember to register your paper until 08.01.2023! Submission deadline is 15.01.2023! Looking forward to many exciting manuscripts.

Super excited: The first MIDL Autumn Academy has just kicked off! Happy to welcome so many interested participants today!

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

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

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 😉

@RSIPvision featured in their latest magazine my PhD thesis about deep-learning-based image registration and tumor follow-up analysis - rsipvision.com/ComputerVision… ! Thank you for giving me the opportunity to talk about my research! @FraunhoferMEVIS, @radboudumc, @miccai_sigbir

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