Olaf Ronneberger

6 ta ish

Google DeepMind (United Kingdom)

1. U-Net: Convolutional Networks for Biomedical Image Segmentation

   Olaf Ronneberger, Philipp Fischer, Thomas Brox

   BobOAOchiq kirish201545 iqtibos

   ABIABI:AkademIndex/2026.other.035374

2. Highly accurate protein structure prediction with AlphaFold

   John Jumper, Richard Evans, Alexander Pritzel +31

   Maqola202112 iqtibos

   ABIABI:AkademIndex/2026.other.275060

3. Accurate structure prediction of biomolecular interactions with AlphaFold 3

   Josh Abramson, Jonas Adler, Jack Dunger +45

   MaqolaOAOchiq kirish20248 iqtibos

   ABIABI:AkademIndex/2026.other.141144

4. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

   Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp +2

   Bob20164 iqtibos

   ABIABI:AkademIndex/2026.other.596809

5. Protein complex prediction with AlphaFold-Multimer

   Richard Evans, M. E. O’Neill, Alexander Pritzel +19

   Preprint20212 iqtibos

   ABIABI:AkademIndex/2026.other.275062

6. Clinically applicable deep learning for diagnosis and referral in retinal disease

   Jeffrey De Fauw, Joseph R. Ledsam, Bernardino Romera‐Paredes +31

   Maqola20182 iqtibos

   ABIABI:AkademIndex/2026.other.731615