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Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases.

M. Alom, T. Aspiras, T. Taha, V. Asari, T. Bowen, D. Billiter, and S. Arkell. CoRR, (2019)

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Armando Aspiras

Ulrich Theus

Lukretia Theus

Ulrike Theus

Martin Theus

Other publications of authors with the same name

Weighted Nonlinear Line Attractor for Complex Manifold Learning.T. Aspiras, V. Asari, and W. Sakla. IJCCI (Selected Papers), volume 669 of Studies in Computational Intelligence, page 371-385. Springer, (2015)Edge/Region Fusion Network for Scene Labeling in Infrared Imagery.B. Sorg, T. Aspiras, and V. Asari. IMAWM, page 1-7. Society for Imaging Science and Technology, (2019)Log power representation of EEG spectral bands for the recognition of emotional states of mind.T. Aspiras, and V. Asari. ICICS, page 1-5. IEEE, (2011)Attention Focused Generative Network for Reducing Self-Occlusions in Aerial LiDAR.N. Singer, V. Asari, T. Aspiras, J. Schierl, A. Stokes, B. Keaffaber, A. van Rynbach, K. Decker, and D. Rabb. AIPR, page 1-7. IEEE, (2021)Boosted ringlet features for robust object tracking.E. Krieger, A. Essa, P. Sidike, T. Aspiras, and V. Asari. AIPR, page 1-7. IEEE Computer Society, (2016)Gaussian ringlet intensity distribution (GRID) features for rotation-invariant object detection in wide area motion imagery.T. Aspiras, V. Asari, and J. Vasquez. ICIP, page 2309-2313. IEEE, (2014)Multi-modal Data Analysis and Fusion for Robust Object Detection in 2D/3D Sensing.J. Schierl, Q. Graehling, T. Aspiras, V. Asari, A. van Rynbach, and D. Rabb. AIPR, page 1-7. IEEE, (2020)Directional ringlet intensity feature transform for tracking.E. Krieger, P. Sidike, T. Aspiras, and V. Asari. ICIP, page 3871-3875. IEEE, (2015)Long Short Working Memory (LSWM) Integration with Polynomial Connectivity for Object Tracking in Wide Area Motion Imagery.E. Krieger, T. Aspiras, V. Asari, and Y. Diskin. AVSS, page 1-6. IEEE, (2018)Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases.M. Alom, T. Aspiras, T. Taha, V. Asari, T. Bowen, D. Billiter, and S. Arkell. CoRR, (2019)

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Disambiguation of "Aspiras, Theus H."

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URL
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Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases.

Please choose a person to relate this publication to

Armando Aspiras

Ulrich Theus

Lukretia Theus

Ulrike Theus

Martin Theus

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Aspiras, Theus H."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases.

Please choose a person to relate this publication to

Armando Aspiras

Ulrich Theus

Lukretia Theus

Ulrike Theus

Martin Theus

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases.