Publications
2018
Hehn, T and Hamprecht, F A (2018).
End-to-end Learning of Deterministic Decision Trees.
German Conference on Pattern Recognition. Proceedings. Springer.
LNCS 11269 612-627
Technical Report (1.4 MB) Wolf, S, Pape, C, Bailoni, A, Rahaman, N, Kreshuk, A, Köthe, U and Hamprecht, F A (2018).
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning.
ECCV. Proceedings. Springer. 571-587
Wolf, S, Pape, C, Bailoni, A, Rahaman, N, Kreshuk, A, Köthe, U and Hamprecht, F A (2018).
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
11208 LNCS 571–587.
http://arxiv.org/abs/1904.12654 Rahaman, N, Arpit, D, Baratin, A, Draxler, F, Lin, M, Hamprecht, F A, Bengio, Y and Courville, A (2018).
On the spectral bias of deep neural networks.
arXiv preprint arXiv:1806.08734 2019
Berg, S, Kutra, D, Kroeger, T, Straehle, C N, Kausler, B X, Haubold, C, Schiegg, M, Ales, J, Beier, T, Rudy, M, Eren, K, Cervantes, J I, Xu, B, Beuttenmüller, F, Wolny, A, Zhang, C, Köthe, U, Hamprecht, F A and Kreshuk, A (2019).
ilastik: interactive machine learning for (bio)image analysis.
Nature Methods.
16 1226-1232
Kirschbaum, E, Haußmann, M, Wolf, S, Sonntag, H, Schneider, J, Elzoheiry, S, Kann, O, Durstewitz, D and Hamprecht, F A (2019).
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos.
ICLR. Proceedings 2021
Vijayan, A, Tofanelli, R, Strauss, S, Cerrone, L, Wolny, A, Strohmeier, J, Kreshuk, A, Hamprecht, F A, Smith, R S and Schneitz, K (2021).
A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule.
eLife Pages
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