Mr. Babak Ehteshami Bejnordi Profile

Babak Ehteshami Bejnordi

SPIE Involvement:

Author

Publications (7)

SPIE Journal Paper | 14 December 2017

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images

Babak Ehteshami Bejnordi, Guido Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak

JMI, Vol. 4, Issue 04, 044504, (December 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.4.044504

KEYWORDS: Binary data, Breast, Tissues, Image classification, Convolutional neural networks, Classification systems, Cancer, Diagnostics, Breast cancer, RGB color model

Read Abstract +

Proceedings Article | 20 March 2015 Paper

A novel spherical shell filter for reducing false positives in automatic detection of pulmonary nodules in thoracic CT scans

Sil van de Leemput, Frank Dorssers, Babak Ehteshami Bejnordi

Proceedings Volume 9414, 94142P (2015) https://doi.org/10.1117/12.2082298

KEYWORDS: Lung, Computed tomography, CAD systems, Spherical lenses, Image segmentation, Image filtering, Lung cancer, Feature extraction, Computer aided diagnosis and therapy, Computer aided design

Read Abstract +

Proceedings Article | 19 March 2015 Paper

Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens

G. Litjens, B. Ehteshami Bejnordi, N. Timofeeva, G. Swadi, I. Kovacs, C. Hulsbergen-van de Kaa, J. van der Laak

Proceedings Volume 9420, 94200B (2015) https://doi.org/10.1117/12.2081366

KEYWORDS: Cancer, Tissues, Biopsy, Prostate cancer, Computing systems, Prostate, RGB color model, Binary data, Biological research, Image segmentation

Read Abstract +

Proceedings Article | 19 March 2015 Paper

A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images

Babak Bejnordi, Geert Litjens, Meyke Hermsen, Nico Karssemeijer, Jeroen A. W. van der Laak

Proceedings Volume 9420, 94200H (2015) https://doi.org/10.1117/12.2081768

KEYWORDS: Tissues, Image classification, Detection and tracking algorithms, Breast, Image analysis, Image processing, Visualization, Breast cancer, Image segmentation, Image processing algorithms and systems

Read Abstract +

Proceedings Article | 20 March 2014 Paper

Quantitative analysis of stain variability in histology slides and an algorithm for standardization

Babak Ehteshami Bejnordi, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, Jeroen A. W. van der Laak

Proceedings Volume 9041, 904108 (2014) https://doi.org/10.1117/12.2043683

KEYWORDS: Tissues, RGB color model, Data modeling, Image segmentation, Image processing algorithms and systems, Expectation maximization algorithms, Quantitative analysis, Absorption, Pathology, Transform theory

Read Abstract +

Proceedings Article | 13 March 2014 Paper

A fully automatic unsupervised segmentation framework for the brain tissues in MR images

Qaiser Mahmood, Artur Chodorowski, Babak Ehteshami Bejnordi, Mikael Persson

Proceedings Volume 9038, 90381M (2014) https://doi.org/10.1117/12.2043646

KEYWORDS: Image segmentation, Tissues, Brain, Magnetic resonance imaging, Neuroimaging, Fuzzy logic, Brain mapping, Magnetism, Electroencephalography, Head

Read Abstract +

Proceedings Article | 29 March 2013 Paper

Novel chromatin texture features for the classification of pap smears

Babak Bejnordi, Ramin Moshavegh, K. Sujathan, Patrik Malm, Ewert Bengtsson, Andrew Mehnert

Proceedings Volume 8676, 867608 (2013) https://doi.org/10.1117/12.2007185

KEYWORDS: Particles, Feature selection, Image segmentation, Image classification, Image filtering, Absorbance, Feature extraction, Diagnostics, Binary data, Fractal analysis

Read Abstract +

Showing 5 of 7 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years