Probabilistic image registration and anomaly detection by nonlinear warping. - Verena Kaynig; Bernd Fischer 003; Joachim M. Buhmann (CVPR, 2008)

Neuron geometry extraction by perceptual grouping in ssTEM images. - Verena Kaynig; Thomas J. Fuchs; Joachim M. Buhmann (CVPR, 2010)

Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data. - Verena Kaynig; Thomas J. Fuchs; Joachim M. Buhmann (MICCAI (2), 2010)

Visualization in Connectomics - Hanspeter Pfister; Verena Kaynig; Charl P. Botha; Stefan Bruckner; Vincent J. Dercksen; Hans-Christian Hege; Jos B. T. M. Roerdink (CoRR, 2012)

Visualization in Connectomics. - Hanspeter Pfister; Verena Kaynig; Charl P. Botha; Stefan Bruckner; Vincent J. Dercksen; Hans-Christian Hege; Jos B. T. M. Roerdink (Scientific Visualization, 2014)

Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation. - William R. Gray Roncal; Verena Kaynig-Fittkau; Narayanan Kasthuri; Daniel R. Berger; Joshua T. Vogelstein; Lindsey R. Fernandez; Jeff W. Lichtman; R. Jacob Vogelstein; Hanspeter Pfister; Gregory D. Hager (CoRR, 2014)

VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. - William R. Gray Roncal; Michael J. Pekala; Verena Kaynig-Fittkau; Dean M. Kleissas; Joshua T. Vogelstein; Hanspeter Pfister; Randal C. Burns; R. Jacob Vogelstein; Mark A. Chevillet; Gregory D. Hager (BMVC, 2015)

Large-scale automatic reconstruction of neuronal processes from electron microscopy images. - Verena Kaynig; Amelio Vázquez Reina; Seymour Knowles-Barley; Mike Roberts 001; Thouis R. Jones; Narayanan Kasthuri; Eric L. Miller 001; Jeff Lichtman; Hanspeter Pfister (Medical Image Anal., 2015)

RhoanaNet Pipeline: Dense Automatic Neural Annotation. - Seymour Knowles-Barley; Verena Kaynig; Thouis Ray Jones; Alyssa Wilson; Joshua Morgan; Dongil Lee; Daniel R. Berger; Narayanan Kasthuri; Jeff W. Lichtman; Hanspeter Pfister (CoRR, 2016)

ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. - Felix Gonda; Verena Kaynig; Thouis R. Jones; Daniel Haehn; Jeff W. Lichtman; Toufiq Parag; Hanspeter Pfister (ISBI, 2017)

Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. - Ignacio Arganda-Carreras; Verena Kaynig; Curtis Rueden; Kevin W. Eliceiri; Johannes E. Schindelin; Albert Cardona; H. Sebastian Seung (Bioinform., 2017)

Scalable Interactive Visualization for Connectomics. - Daniel Haehn; John Hoffer; Brian Matejek; Adi Suissa-Peleg; Ali K. Al-Awami; Lee Kamentsky; Felix Gonda; Eagon Meng; William Zhang; Richard Schalek; Alyssa Wilson; Toufiq Parag; et al. (Informatics, 2017)

Guided Proofreading of Automatic Segmentations for Connectomics. - Daniel Haehn; Verena Kaynig; James Tompkin 001; Jeff W. Lichtman; Hanspeter Pfister (CVPR, 2018)

DocTime: A Document-level Temporal Dependency Graph Parser. - Puneet Mathur; Vlad I. Morariu; Verena Kaynig-Fittkau; Jiuxiang Gu; Franck Dernoncourt; Quan Hung Tran; Ani Nenkova; Dinesh Manocha; Rajiv Jain (NAACL-HLT, 2022)

LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents. - Puneet Mathur; Rajiv Jain; Ashutosh Mehra 002; Jiuxiang Gu; Franck Dernoncourt; Anandhavelu Natarajan; Quan Hung Tran; Verena Kaynig-Fittkau; Ani Nenkova; Dinesh Manocha; Vlad I. Morariu (WACV, 2023)