News

menze_group (@menze_group) / Twitter

• @menze_group: Happy to be part of the Dagstuhl-Seminar on Inverse Biophysical Modeling and Machine Learning in Personalized Oncology:

  More about @menze_group: Happy to be part of the Dagstuhl-Seminar on Inverse Biophysical Modeling and Machine Learning in Personalized Oncology:

• @menze_group: Excited to share our latest MedIA work on how to solve the inverse problem for brain tumor modeling. Congratulations on the great work @i_ezho @UZH_en @DQBM_uzh

  More about @menze_group: Excited to share our latest MedIA work on how to solve the inverse problem for brain tumor modeling. Congratulations on the great work @i_ezho @UZH_en @DQBM_uzh

• @menze_group: Congratulations! @chinmayprabhak5 for your first oral at @GeoMedIA22 on the utility of knowledge graphs for zero-shot chest radiograph classification. Visit our poster at 1500 for a discussion including heterogeneous knowledge graphs. @UZH_en @DQBM_uzh

  More about @menze_group: Congratulations! @chinmayprabhak5 for your first oral at @GeoMedIA22 on the utility of knowledge graphs for zero-shot chest radiograph classification. Visit our poster at 1500 for a discussion including heterogeneous knowledge graphs. @UZH_en @DQBM_uzh

• @menze_group: Excited to see an application from previous work

  More about @menze_group: Excited to see an application from previous work

• @menze_group: Congrats @tommykn0cker for the best paper MIDL 1st runner-up featuring in Computer Vision News. Full read on our approach for shape reconstruction here: @DQBM_uzh @UZH_ch

  More about @menze_group: Congrats @tommykn0cker for the best paper MIDL 1st runner-up featuring in Computer Vision News. Full read on our approach for shape reconstruction here: @DQBM_uzh @UZH_ch