Real-time multi-view deconvolution. - Benjamin Schmid; Jan Huisken (Bioinform., 2015)

Biology-inspired visualization of morphogenetic motion in the zebrafish endoderm. - Konstantin Thierbach; Gopi Shah; Ingmar Glauche; Jan Huisken; Ingo Roeder; Nico Scherf (ISBI, 2016)

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection. - Robert Bensch; Nico Scherf; Jan Huisken; Thomas Brox; Olaf Ronneberger (Int. J. Comput. Vis., 2017)

linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser. - Johannes Waschke; Mario Hlawitschka; Kerim Anlas; Vikas Trivedi; Ingo Roeder; Jan Huisken; Nico Scherf (PLoS Comput. Biol., 2021)

DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy. - Yu Liu; Kurt Weiss; Nassir Navab; Carsten Marr; Jan Huisken; Tingying Peng (MICCAI (4), 2022)

Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration. - Anjalie Schlaeppi; Wilson Adams; Robert Haase 001; Jan Huisken; Ryan B. Macdonald; Kevin W. Eliceiri; Elisabeth Kugler (Frontiers Bioinform., 2022)

Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration. - Tomás Chobola; Gesine Müller; Veit Dausmann; Anton Theileis; Jan Taucher; Jan Huisken; Tingying Peng (ICCV (Workshops), 2023)

LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. - Tomás Chobola; Gesine Müller; Veit Dausmann; Anton Theileis; Jan Taucher; Jan Huisken; Tingying Peng (MICCAI (8), 2023)

BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. - Yu Liu; Gesine Müller; Nassir Navab; Carsten Marr; Jan Huisken; Tingying Peng (MICCAI (8), 2023)

Open Problem: Active Representation Learning. - Nikola Milosevic; Gesine Müller; Jan Huisken; Nico Scherf (CoRR, 2024)