Doctoral Thesis:
Efficient Reconstruction and Proofreading of Neural Circuits. Harvard School of Engineering and Applied Science. Harvard Univesity. Aug 2016 - May 2021

Master Thesis:
An Interactive Approach to Training Deep Neural Networks for Segmentation of Neuronal Structures. Harvard University. Aug 2014 - May 2016

VICE: Visual Identification and Correction of Neural Circuit Errors. Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister. EuroVis, 2021.

Consistent Recurrent Neural Networks for 3D Neuron Reconstruction. Felix Gonda, Donglai Wei, Hanspeter Pfister. ISBI, 2021.

PSC: Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. Felix Gonda, Donglai Wei, et. al. BMVC, 2018.

Scalable Interactive Visualization for Connectomics. Daniel Haehn, Felix Gonda, et. al. INFORMATICS, 2017.

ICON: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures. Felix Gonda, Verena Kaynig et. al. ISBI, 2017.

Fast global planning of collision-avoiding robot trajectories. Charles Mathy, Felix Gonda, et. al. NIPS, 2016.