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20162024
most citedOffline Writer Identification Using Convolutional Neural Network Activation Features

66 citations · 366 across the 73 of their papers we have counts for

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Showing 2018Show all

33 papers · 1 filter

physics.med-ph2018

Maximum Likelihood Estimation of Head Motion using Epipolar Consistency

Alexander Preuhs, Nishant Ravikumar, Michael Manhart +5

Open gantry C-arm systems that are placed within the interventional room enable 3-D imaging and guidance for stroke therapy without patient transfer. This can profit in drastically…

physics.med-ph2018

A 3-D Projection Model for X-ray Dark-field Imaging

Shiyang Hu, Lina Felsner, Andreas Maier +3

Talbot-Lau X-ray phase-contrast imaging is a novel imaging modality, which provides not only an X-ray absorption image, but also additionally a differential phase image and a dark-…

cs.CV2018

Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks

Marc Aubreville, Christof A. Bertram, Robert Klopfleisch +1

Most tumor grading systems for human as for veterinary histopathology are based upon the absolute count of mitotic figures in a certain reference area of a histology slide. Since t…

cs.CV2018

A Gentle Introduction to Deep Learning in Medical Image Processing

Andreas Maier, Christopher Syben, Tobias Lasser +1

This paper tries to give a gentle introduction to deep learning in medical image processing, proceeding from theoretical foundations to applications. We first discuss general reaso…

cs.CV2018

Augmented Mitotic Cell Count using Field Of Interest Proposal

Marc Aubreville, Christof A. Bertram, Robert Klopfleisch +1

Histopathological prognostication of neoplasia including most tumor grading systems are based upon a number of criteria. Probably the most important is the number of mitotic figure…

cs.CV2018

Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data

Thomas Köhler, Michel Bätz, Farzad Naderi +3

Capturing ground truth data to benchmark super-resolution (SR) is challenging. Therefore, current quantitative studies are mainly evaluated on simulated data artificially sampled f…