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F A Hamprecht

Showing results (1-10 of 10) with videos related to

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Journal of Medicinal Chemistry|July 3, 1998
Three-dimensional quantitative similarity-activity relationships (3D QSiAR) from SEAL similarity matricesH Kubinyi, F A Hamprecht, T Mietzner
Proteins|August 1, 1997
Generation of pseudonative protein structures for threadingF A Hamprecht, W Scott, W F van Gunsteren
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Carving: scalable interactive segmentation of neural volume electron microscopy imagesC N Straehle, U Köthe, G Knott, et al.
The Journal of Chemical Physics|October 13, 2023
KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theoryR Remme, T Kaczun, M Scheurer, et al.
Resuscitation|November 24, 2001
Preliminary results on the prediction of countershock success with fibrillation powerF A Hamprecht, D Jost, M Rüttimann, et al.
IEEE Transactions on Medical Imaging|June 11, 2017
Neuron Segmentation With High-Level Biological PriorsN E Krasowski, T Beier, G W Knott, et al.
NMR in Biomedicine|April 28, 2006
Optimal classification of long echo time in vivo magnetic resonance spectra in the detection of recurrent brain tumorsB H Menze, M P Lichy, P Bachert, et al.
Journal of Microscopy|July 21, 2015
Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nervesA Kreshuk, R Walecki, U Koethe, et al.
Der Urologe. Ausg. A|August 7, 2007
[Comparison of the accuracy of manual and automatic evaluation of MR spectra in prostate carcinoma]C Weber, C M Zechmann, B M Kelm, et al.
Resuscitation|November 24, 2001
Fibrillation power, an alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillationF A Hamprecht, U Achleitner, A C Krismer, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Journal of Medicinal Chemistry|July 3, 1998
Three-dimensional quantitative similarity-activity relationships (3D QSiAR) from SEAL similarity matricesH Kubinyi, F A Hamprecht, T Mietzner
Proteins|August 1, 1997
Generation of pseudonative protein structures for threadingF A Hamprecht, W Scott, W F van Gunsteren
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Carving: scalable interactive segmentation of neural volume electron microscopy imagesC N Straehle, U Köthe, G Knott, et al.
The Journal of Chemical Physics|October 13, 2023
KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theoryR Remme, T Kaczun, M Scheurer, et al.
Resuscitation|November 24, 2001
Preliminary results on the prediction of countershock success with fibrillation powerF A Hamprecht, D Jost, M Rüttimann, et al.
IEEE Transactions on Medical Imaging|June 11, 2017
Neuron Segmentation With High-Level Biological PriorsN E Krasowski, T Beier, G W Knott, et al.
NMR in Biomedicine|April 28, 2006
Optimal classification of long echo time in vivo magnetic resonance spectra in the detection of recurrent brain tumorsB H Menze, M P Lichy, P Bachert, et al.
Journal of Microscopy|July 21, 2015
Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nervesA Kreshuk, R Walecki, U Koethe, et al.
Der Urologe. Ausg. A|August 7, 2007
[Comparison of the accuracy of manual and automatic evaluation of MR spectra in prostate carcinoma]C Weber, C M Zechmann, B M Kelm, et al.
Resuscitation|November 24, 2001
Fibrillation power, an alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillationF A Hamprecht, U Achleitner, A C Krismer, et al.
Pageof 1