1. Neuroscience

DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

  1. Semih Günel  Is a corresponding author
  2. Helge Rhodin
  3. Daniel Morales
  4. João H Campagnolo
  5. Pavan Ramdya  Is a corresponding author
  6. Pascal Fua
  1. EPFL, Switzerland
https://doi.org/10.7554/eLife.48571
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  1. Semih Günel
  2. Helge Rhodin
  3. Daniel Morales
  4. João H Campagnolo
  5. Pavan Ramdya
  6. Pascal Fua
(2019)
DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife 8:e48571.
https://doi.org/10.7554/eLife.48571
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  1. Semih Günel
  2. Helge Rhodin
  3. Daniel Morales
  4. João H Campagnolo
  5. Pavan Ramdya
  6. Pascal Fua
(2019)
DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife 8:e48571.
https://doi.org/10.7554/eLife.48571