Andrew Janowczyk
Title
Cited by
Cited by
Year
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
A Janowczyk, A Madabhushi
Journal of pathology informatics 7, 2016
5572016
Stain normalization using sparse autoencoders (StaNoSA): application to digital pathology
A Janowczyk, A Basavanhally, A Madabhushi
Computerized Medical Imaging and Graphics 57, 50-61, 2017
872017
Deep tissue photoacoustic imaging using a miniaturized 2-D capacitive micromachined ultrasonic transducer array
SR Kothapalli, TJ Ma, S Vaithilingam, ÷ Oralkan, BT Khuri-Yakub, ...
IEEE Transactions on Biomedical Engineering 59 (5), 1199-1204, 2012
752012
SPIE Medical Imaging
S Kappler, F Glasser, S Janssen, E Kraft, M Reinwand
International Society for Optics and Photonics, 76221Z-76221Z, 2010
732010
A high-throughput active contour scheme for segmentation of histopathological imagery
J Xu, A Janowczyk, S Chandran, A Madabhushi
Medical image analysis 15 (6), 851-862, 2011
492011
A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue
JJ Nirschl, A Janowczyk, EG Peyster, R Frank, KB Margulies, ...
PloS one 13 (4), e0192726, 2018
462018
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images
A Janowczyk, S Doyle, H Gilmore, A Madabhushi
Computer Methods in Biomechanics and Biomedical Engineering: Imaging†…, 2018
432018
Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images
X Wang, A Janowczyk, Y Zhou, R Thawani, P Fu, K Schalper, V Velcheti, ...
Scientific reports 7 (1), 1-10, 2017
432017
Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images
D Romo-Bucheli, A Janowczyk, H Gilmore, E Romero, A Madabhushi
Scientific reports 6, 32706, 2016
422016
A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation
J Xu, A Janowczyk, S Chandran, A Madabhushi
Medical Imaging 2010: Image Processing 7623, 76230Y, 2010
382010
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers
D Romo‐Bucheli, A Janowczyk, H Gilmore, E Romero, A Madabhushi
Cytometry Part A 91 (6), 566-573, 2017
362017
High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts
A Janowczyk, S Chandran, R Singh, D Sasaroli, G Coukos, MD Feldman, ...
IEEE transactions on biomedical engineering 59 (5), 1240-1252, 2011
332011
Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers
C Lu, D Romo-Bucheli, X Wang, A Janowczyk, S Ganesan, H Gilmore, ...
Laboratory Investigation 98 (11), 1438-1448, 2018
302018
HistoQC: an open-source quality control tool for digital pathology slides
A Janowczyk, R Zuo, H Gilmore, M Feldman, A Madabhushi
JCO clinical cancer informatics 3, 1-7, 2019
242019
A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI
K Ravichandran, N Braman, A Janowczyk, A Madabhushi
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105750C, 2018
212018
High-throughput prostate cancer gland detection, segmentation, and classification from digitized needle core biopsies
J Xu, R Sparks, A Janowczyk, JE Tomaszewski, MD Feldman, ...
International Workshop on Prostate Cancer Imaging, 77-88, 2010
212010
Hierarchical normalized cuts: Unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays
A Janowczyk, S Chandran, R Singh, D Sasaroli, G Coukos, MD Feldman, ...
International Conference on Medical Image Computing and Computer-Assisted†…, 2009
192009
Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer
J Whitney, G Corredor, A Janowczyk, S Ganesan, S Doyle, ...
BMC cancer 18 (1), 610, 2018
172018
An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival
C Lu, JS Lewis, WD Dupont, WD Plummer, A Janowczyk, A Madabhushi
Modern Pathology 30 (12), 1655-1665, 2017
162017
Deep learning tissue segmentation in cardiac histopathology images
JJ Nirschl, A Janowczyk, EG Peyster, R Frank, KB Margulies, ...
Deep Learning for Medical Image Analysis, 179-195, 2017
112017
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