Publications
2014
Kröger, T, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2014).
Asymmetric Cuts: Joint Image Labeling and Partitioning.
Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings.
http://dx.doi.org/10.1007/978-3-319-11752-2_16
Technical Report (3.46 MB) Beier, T, Kröger, T, Kappes, J H, Köthe, U and Hamprecht, F A (2014).
Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning.
2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014.
http://dx.doi.org/10.1109/CVPR.2014.17
Technical Report (10.06 MB) Decker, C and Hamprecht, F A (2014).
Detecting individual body parts improves mouse behavior classification.
Workshop on visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 22nd International Conference on Pattern Recognition (ICPR). Proceedings
Technical Report (1.48 MB) Kandemir, M, Rubio, J C, Schmidt, U, Welbl, J, Ommer, B and Hamprecht, F A (2014).
Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures.
MICCAI. Proceedings. Springer. 154-161
Paper (2 MB) Kandemir, M, Rubio, J C, Schmidt, U, Wojek, C, Welbl, J, Ommer, B and Hamprecht, F A (2014).
Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures.
Medical Image Computing and Computer-Assisted Intervention. Springer. 154--161
Technical Report (2 MB) Kleesiek, J, Biller, A, Urban, G, Köthe, U, Bendszus, M and Hamprecht, F A (2014).
ilastik for Multi-modal Brain Tumor Segmentation.
MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace. 12-17
Technical Report (405.91 KB) Yarkony, J, Beier, T, Baldi, P and Hamprecht, F A (2014).
Parallel Multicut Segmentation via Dual Decomposition.
New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers.
http://dx.doi.org/10.1007/978-3-319-17876-9_4 Fiaschi, L, Diego, F, Grosser, K - H, Schiegg, M, Köthe, U, Zlatic, M and Hamprecht, F A (2014).
Tracking indistinguishable translucent objects over time using weakly supervised structured learning.
CVPR. Proceedings. 2736 - 2743
Technical Report (1.47 MB) 2015
Kreshuk, A, Walecki, R, Köthe, U, Gierthmühlen, M, Plachta, D, Genoud, C, Haastert-Talini, K and Hamprecht, F A (2015).
Automated Tracing of Myelinated Axons and Detection of the Nodes of Ranvier in Serial Images of Peripheral Nerves.
Journal of Microscopy.
259 (2) 143-154
Kappes, J H, Andres, B, Hamprecht, F A, Schnörr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kröger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015).
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
International Journal of Computer Vision. 1-30
Technical Report (1.5 MB) Krasowski, N, Beier, T, Knott, G W, Köthe, U, Hamprecht, F A and Kreshuk, A (2015).
Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors.
12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015. 536-539
Technical Report (2.25 MB) Cali, C, Baghabra, J, Boges, D J, Holst, G R, Kreshuk, A, Hamprecht, F A, Srinivasan, M, Lehväslaiho, H and Magistretti, P J (2015).
Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues.
Journal of Comparative Neurology.
524 23-38
Pages