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Kristians E. Diaz Rojas
Doctoral Candidate at Technische Univ München
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Publications (5)
Proceedings Article | 1 March 2017 Presentation + Paper
Context-sensitive patch histograms for detecting rare events in histopathological data
Kristians Diaz, Maximilian Baust, Nassir Navab
Proceedings Volume 10140, 101400F (2017) https://doi.org/10.1117/12.2254014
KEYWORDS: Convolutional neural networks, Image analysis, Neodymium, Sensors, Image segmentation, Blood, Bone, Liver, Feature extraction, Binary data
SPIE Journal Paper | 29 July 2015
Methodology to study the three-dimensional spatial distribution of prostate cancer and their dependence on clinical parameters
Kristians Diaz Rojas, Maria Montero, Jorge Yao, Edward Messing, Anees Fazili, Jean Joseph, Yangming Ou, Deborah Rubens, Kevin Parker, Christos Davatzikos, Benjamín Castañeda
JMI, Vol. 2, Issue 03, 037502, (July 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.3.037502
KEYWORDS: Prostate, Prostate cancer, Cancer, Databases, Tumors, 3D modeling, Biopsy, 3D image processing, Pathology, Image segmentation
Proceedings Article | 29 March 2013 Paper
Analysis of the spatial distribution of prostate cancer obtained from histopathological images
Kristians Diaz, Benjamin Castaneda, Maria Luisa Montero, Jorge Yao, Jean Joseph, Deborah Rubens, Kevin Parker
Proceedings Volume 8676, 86760V (2013) https://doi.org/10.1117/12.2006959
KEYWORDS: Prostate, Prostate cancer, Tumors, Cancer, 3D modeling, Image segmentation, Biopsy, Statistical analysis, Databases, 3D image processing
Proceedings Article | 13 March 2010 Paper
Development of an acquisition protocol and a segmentation algortihm for wounds of cutaneous Leishmaniasis in digital images
Kristians Diaz, Benjamín Castañeda, César Miranda, Roberto Lavarello, Alejandro Llanos
Proceedings Volume 7623, 76234L (2010) https://doi.org/10.1117/12.844534
KEYWORDS: Image segmentation, Skin, Algorithm development, RGB color model, Image processing algorithms and systems, Injuries, Mathematical morphology, Light sources and illumination, Cameras, Image acquisition
Proceedings Article | 26 March 2008 Paper
Semi-automated segmentation of the prostate gland boundary in ultrasound images using a machine learning approach
Proceedings Volume 6914, 69144A (2008) https://doi.org/10.1117/12.770965
KEYWORDS: Image segmentation, Prostate, 3D image processing, Ultrasonography, Image processing algorithms and systems, Machine learning, Image filtering, Binary data, Image classification, Skin cancer
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