Ergebnisse einschränken

Heat kernels on regular graphs and generalized Ihara zeta function formulas

Chinta, G. ; Jorgenson, J. ; Karlsson, A.

In: Monatshefte für Mathematik, 2015, vol. 178, no. 2, p. 171-190

A statistical shape model of the human second cervical vertebra

Clogenson, Marine ; Duff, John ; Luethi, Marcel ; Levivier, Marc ; Meuli, Reto ; Baur, Charles ; Henein, Simon

In: International Journal of Computer Assisted Radiology and Surgery, 2015, vol. 10, no. 7, p. 1097-1107

Thermal expansion imaging for monitoring lesion depth using M-mode ultrasound during cardiac RF ablation: in vitro study

Baki, Peter ; Sanabria, Sergio ; Kosa, Gabor ; Szekely, Gabor ; Goksel, Orcun

In: International Journal of Computer Assisted Radiology and Surgery, 2015, vol. 10, no. 6, p. 681-693

Revisiting ( k , ℓ )-step methods

Gutknecht, Martin

In: Numerical Algorithms, 2015, vol. 69, no. 2, p. 455-469

Fine-grained breast cancer classification with bilinear convolutional neural networks (BCNNS)

Liu, Weihuang ; Juhas, Mario ; Zhang, Yang

In: Frontiers in Genetics, 2020, vol. 11, p. -

Classification of histopathological images of cancer is challenging even for well- trained professionals, due to the fine-grained variability of the disease. Deep Convolutional Neural Networks (CNNs) showed great potential for classification of a number of the highly variable fine-grained objects. In this study, we introduce a Bilinear Convolutional Neural Networks (BCNNs) based deep learning...

Gaussian mean field regularizes by limiting learned information

Kunze, Julius ; Kirsch, Louis ; Ritter, Hippolyt ; Barber, David

In: Entropy, 2019, vol. 21, no. 8, p. 758

Variational inference with a factorized Gaussian posterior estimate is a widely-used approach for learning parameters and hidden variables. Empirically, a regularizing effect can be observed that is poorly understood. In this work, we show how mean field inference improves generalization by limiting mutual information between learned parameters and the data through noise. We quantify a...

Statistical model-based segmentation of the proximal femur in digital antero-posterior (AP) pelvic radiographs

Xie, Weiguo ; Franke, Jochen ; Chen, Cheng ; Grützner, Paul ; Schumann, Steffen ; Nolte, Lutz-P ; Zheng, Guoyan

In: International Journal of Computer Assisted Radiology and Surgery, 2014, vol. 9, no. 2, p. 165-176

Optimal Real-Time Filters for Linear Prediction Problems

Wildi, Marc ; McElroy, Tucker

In: Journal of Time Series Econometrics, 2016, vol. 8, no. 2, p. 155-192

Surgical planning tool for robotically assisted hearing aid implantation

Gerber, Nicolas ; Bell, Brett ; Gavaghan, Kate ; Weisstanner, Christian ; Caversaccio, Marco ; Weber, Stefan

In: International Journal of Computer Assisted Radiology and Surgery, 2014, vol. 9, no. 1, p. 11-20

Variational Image Registration Using Inhomogeneous Regularization

Jud, Christoph ; Lüthi, Marcel ; Albrecht, Thomas ; Schönborn, Sandro ; Vetter, Thomas

In: Journal of Mathematical Imaging and Vision, 2014, vol. 50, no. 3, p. 246-260