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Disambiguation of "Janowczyk, Andrew"

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Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.

, , and . Comp. Med. Imag. and Graph., (2017)

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Dr. Andrew Clifton University of Stuttgart

Grand challenges in the digitalisation of wind energy, , , , , , , , , and 1 other author(s). Wind energy science, 8 (6): 947-974 (2023)

Andrew Furze University of Stuttgart

Dr. Andrew Clark University of Stuttgart

Andrew Nelson Butterfield University of Stuttgart

 

Other publications of authors with the same name

Deep Learning Tissue Segmentation in Cardiac Histopathology Images., , , , , , and . Deep Learning for Medical Image Analysis, Academic Press, (2017)Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs., , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79622N. SPIE, (2011)Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology., , and . Comp. Med. Imag. and Graph., (2017)A high-throughput active contour scheme for segmentation of histopathological imagery., , , and . Medical Image Analysis, 15 (6): 851-862 (2011)Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays., , , , , , and . MICCAI (1), volume 5761 of Lecture Notes in Computer Science, page 230-238. Springer, (2009)High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies., , , , , and . Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 77-88. Springer, (2010)Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images., , , , and . Medical Imaging: Digital Pathology, volume 9791 of SPIE Proceedings, page 979106. SPIE, (2016)A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation., , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76230Y. SPIE, (2010)High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts., , , , , , and . IEEE Trans. Biomed. Engineering, 59 (5): 1240-1252 (2012)A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images., , , and . CMBBE: Imaging & Visualization, 6 (3): 270-276 (2018)