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	1.	Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. [electronic resource] by Janowczyk, Andrew Madabhushi, Anant Producer: 20160826 In: Journal of pathology informatics vol. 7 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions. [electronic resource] by Janowczyk, Andrew Chandran, Sharat Madabhushi, Anant Producer: 20130617 In: Journal of pathology informatics vol. 4 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	3.	Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis. [electronic resource] by Chen, Yijiang Janowczyk, Andrew Madabhushi, Anant Producer: 20201030 In: JCO clinical cancer informatics vol. 4 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	4.	Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. [electronic resource] by Janowczyk, Andrew Basavanhally, Ajay Madabhushi, Anant Producer: 20180528 In: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society vol. 57 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	5.	A high-throughput active contour scheme for segmentation of histopathological imagery. [electronic resource] by Xu, Jun Janowczyk, Andrew Chandran, Sharat Madabhushi, Anant Producer: 20120209 In: Medical image analysis vol. 15 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6.	Current opinion, status and future development of digital pathology in Switzerland. [electronic resource] by Unternaehrer, Julia Grobholz, Rainer Janowczyk, Andrew Zlobec, Inti Producer: 20200622 In: Journal of clinical pathology vol. 73 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7.	A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. [electronic resource] by Janowczyk, Andrew Doyle, Scott Gilmore, Hannah Madabhushi, Anant Publication details: Computer methods in biomechanics and biomedical engineering. Imaging & visualization 2018 In: Computer methods in biomechanics and biomedical engineering. Imaging & visualization vol. 6 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	8.	HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides. [electronic resource] by Janowczyk, Andrew Zuo, Ren Gilmore, Hannah Feldman, Michael Madabhushi, Anant Producer: 20200615 In: JCO clinical cancer informatics vol. 3 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	9.	Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images. [electronic resource] by Romo-Bucheli, David Janowczyk, Andrew Gilmore, Hannah Romero, Eduardo Madabhushi, Anant Producer: 20180614 In: Scientific reports vol. 6 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	10.	A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers. [electronic resource] by Romo-Bucheli, David Janowczyk, Andrew Gilmore, Hannah Romero, Eduardo Madabhushi, Anant Producer: 20180326 In: Cytometry. Part A : the journal of the International Society for Analytical Cytology vol. 91 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	11.	Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays. [electronic resource] by Janowczyk, Andrew Chandran, Sharat Singh, Rajendra Sasaroli, Dimitra Coukos, George Feldman, Michael D Madabhushi, Anant Producer: 20100607 In: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention vol. 12 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	12.	An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival. [electronic resource] by Lu, Cheng Lewis, James S Dupont, William D Plummer, W Dale Janowczyk, Andrew Madabhushi, Anant Producer: 20180727 In: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc vol. 30 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	13.	High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts. [electronic resource] by Janowczyk, Andrew Chandran, Sharat Singh, Rajendra Sasaroli, Dimitra Coukos, George Feldman, Michael D Madabhushi, Anant Producer: 20120815 In: IEEE transactions on bio-medical engineering vol. 59 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	14.	Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. [electronic resource] by Lu, Cheng Romo-Bucheli, David Wang, Xiangxue Janowczyk, Andrew Ganesan, Shridar Gilmore, Hannah Rimm, David Madabhushi, Anant Producer: 20190613 In: Laboratory investigation; a journal of technical methods and pathology vol. 98 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	15.	Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images. [electronic resource] by Wang, Xiangxue Janowczyk, Andrew Zhou, Yu Thawani, Rajat Fu, Pingfu Schalper, Kurt Velcheti, Vamsidhar Madabhushi, Anant Producer: 20190702 In: Scientific reports vol. 7 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	16.	Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. [electronic resource] by Whitney, Jon Corredor, German Janowczyk, Andrew Ganesan, Shridar Doyle, Scott Tomaszewski, John Feldman, Michael Gilmore, Hannah Madabhushi, Anant Producer: 20190114 In: BMC cancer vol. 18 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	17.	A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue. [electronic resource] by Nirschl, Jeffrey J Janowczyk, Andrew Peyster, Eliot G Frank, Renee Margulies, Kenneth B Feldman, Michael D Madabhushi, Anant Producer: 20180718 In: PloS one vol. 13 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	18.	AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments. [electronic resource] by Penzias, Gregory Janowczyk, Andrew Singanamalli, Asha Rusu, Mirabela Shih, Natalie Feldman, Michael Stricker, Phillip D Delprado, Warick Tiwari, Sarita Böhm, Maret Haynes, Anne-Maree Ponsky, Lee Viswanath, Satish Madabhushi, Anant Producer: 20180703 In: Scientific reports vol. 6 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	19.	Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients. [electronic resource] by Bhargava, Hersh K Leo, Patrick Elliott, Robin Janowczyk, Andrew Whitney, Jon Gupta, Sanjay Fu, Pingfu Yamoah, Kosj Khani, Francesca Robinson, Brian D Rebbeck, Timothy R Feldman, Michael Lal, Priti Madabhushi, Anant Producer: 20210127 In: Clinical cancer research : an official journal of the American Association for Cancer Research vol. 26 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)