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Disambiguation of "Janowczyk, Andrew"

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A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.

, , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (3): 270-276 (2018)

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Andrew Singer

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Other publications of authors with the same name

A high-throughput active contour scheme for segmentation of histopathological imagery., , , and . Medical Image Anal., 15 (6): 851-862 (2011)Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology., , and . Comput. Medical Imaging Graph., (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)Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer., , , , , , , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 113200G. SPIE, (2020)Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients., , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810D. SPIE, (2018)Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer., , , , , , and . Medical Image Anal., (2023)A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750C. SPIE, (2018)Deep Learning Tissue Segmentation in Cardiac Histopathology Images., , , , , , and . Deep Learning for Medical Image Analysis, Academic Press, (2017)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)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)