no code implementations • 14 May 2021 • Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister
A connectivity graph of neurons at the resolution of single synapses provides scientists with a tool for understanding the nervous system in health and disease.
no code implementations • 1 Feb 2021 • Felix Gonda, Donglai Wei, Hanspeter Pfister
We present a recurrent network for the 3D reconstruction of neurons that sequentially generates binary masks for every object in an image with spatio-temporal consistency.
no code implementations • 11 Sep 2018 • Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister
For video and volumetric data understanding, 3D convolution layers are widely used in deep learning, however, at the cost of increasing computation and training time.
no code implementations • 27 Oct 2016 • Felix Gonda, Verena Kaynig, Ray Thouis, Daniel Haehn, Jeff Lichtman, Toufiq Parag, Hanspeter Pfister
We present an interactive approach to train a deep neural network pixel classifier for the segmentation of neuronal structures.