Publications
M
Gee, P J, Hamprecht, F A, Schuler, L D, van Gunsteren, W F, Duchardt, E, Schwalbe, H, Albert, M and Seebach, D (2002).
A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution.
Helv. Chim. Acta.
85 618-632
L
Diego, F and Hamprecht, F A (2013).
Learning Multi-Level Sparse Representation for Identifying Neuronal Activity.
Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of Abstracts
Technical Report (1.05 MB) Andres, B, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2012).
The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models.
Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}.
http://dx.doi.org/10.1007/978-3-642-33786-4_12
Technical Report (446.28 KB) I
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) 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) G
Andres, B, Kröger, T, Briggmann, K L, Denk, W, Norogod, N, Knott, G W, Köthe, U and Hamprecht, F A (2012).
Globally Optimal Closed-Surface Segmentation for Connectomics.
ECCV 2012. Proceedings, Part 3. 778-791
Technical Report (2.72 MB) Köthe, U, Andres, B, Kröger, T and Hamprecht, F A (2010).
Geometric Analysis of 3D Electron Microscopy Data.
Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM). 22-26
Technical Report (1.43 MB) F
Hamprecht, F A, Achleitner, U, Krismer, A C, Lindner, K H, Wenzel, V, Strohmenger, H - U, Thiel, W and van Gunsteren, W F (2001).
Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation.
Resuscitation.
50 287-296
E
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) Andres, B, Kondermann, C, Kondermann, D, Köthe, U, Hamprecht, F A and Garbe, C S (2008).
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation.
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. 1-6
Technical Report (1.58 MB) Lichy, M P, Bachert, P, Hamprecht, F A, Weber, M - A, Debus, J, Schulz-Ertner, D, Kauczor, H - U and Schlemmer, H - P (2006).
Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren.
Zeitung für Röntgenforschung.
178 627-633
D
Kausler, B X, Schiegg, M, Andres, B, Lindner, M, Köthe, U, Leitte, H, Wittbrodt, J, Hufnagel, L and Hamprecht, F A (2012).
A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness.
ECCV 2012. Proceedings.
7574 144-157
Technical Report (809.07 KB) 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) C
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) Hanselmann, M, Kirchner, M, Renard, B Y, Amstalden, E R, Glunde, K, Heeren, R M A and Hamprecht, F A (2008).
Concise Representation of MS Images by Probabilistic Latent Semantic Analysis.
Analytical Chemistry.
80 9649-9658
Technical Report (3.91 MB) Pages