Andrew Janowczyk

发表

Mitko Veta, Constantino Carlos Reyes-Aldasoro, Andrew Janowczyk, 2019, Lecture Notes in Computer Science.

A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation

Andrew Janowczyk, Anant Madabhushi, Jun Xu, 2010, Medical Imaging.

Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens is predictive of early biochemical recurrence in prostate cancer patients

Andrew Janowczyk, Anant Madabhushi, Sanjay Gupta, 2018, Medical Imaging.

High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies

Andrew Janowczyk, Anant Madabhushi, Michael D. Feldman, 2010, Prostate Cancer Imaging.

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

Srinivas Aluru, Andrew Janowczyk, Sharat Chandran, 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments

Andrew Janowczyk, Anant Madabhushi, Michael Feldman, 2016, Scientific Reports.

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

Andrew Janowczyk, Anant Madabhushi, Ajay Basavanhally, 2017, Comput. Medical Imaging Graph..

Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays

Andrew Janowczyk, Anant Madabhushi, Rajendra Singh, 2009, MICCAI.

Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs

Andrew Janowczyk, Anant Madabhushi, Michael D. Feldman, 2011, Medical Imaging.

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

Andrew Janowczyk, Anant Madabhushi, Scott Doyle, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts

Andrew Janowczyk, Anant Madabhushi, Rajendra Singh, 2012, IEEE Transactions on Biomedical Engineering.

A high-throughput active contour scheme for segmentation of histopathological imagery

Andrew Janowczyk, Anant Madabhushi, Jun Xu, 2011, Medical Image Anal..

A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI

Andrew Janowczyk, Anant Madabhushi, Nathaniel Braman, 2018, Medical Imaging.

Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

Andrew Janowczyk, Anant Madabhushi, A. Madabhushi, 2016, Journal of pathology informatics.

Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation

Andrew Janowczyk, Anant Madabhushi, Kaustav Bera, 2020, Medical Imaging: Digital Pathology.

Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images

Andrew Janowczyk, Anant Madabhushi, Eduardo Romero, 2016, Scientific Reports.

Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer

Andrew Janowczyk, Anant Madabhushi, Adam K. Glaser, 2020, Medical Imaging: Digital Pathology.

Deep Learning Tissue Segmentation in Cardiac Histopathology Images

Andrew Janowczyk, Anant Madabhushi, Michael D. Feldman, 2017, Deep Learning for Medical Image Analysis.

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers

Can Fahrettin Koyuncu, Andrew Janowczyk, Prateek Prasanna, 2020, Medical Image Anal..

Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images

Andrew Janowczyk, Anant Madabhushi, Xiangxue Wang, 2017, Scientific Reports.

Predicting neo-adjuvant chemotherapy response from pre-treatment breast MRI using machine learning and HER2 status.

Andrew Janowczyk, Anant Madabhushi, Nathaniel Braman, 2018 .

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

Andrew Janowczyk, Anant Madabhushi, Michael D Feldman, 2018, PloS one.

A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers

Andrew Janowczyk, Anant Madabhushi, Eduardo Romero, 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

Andrew Janowczyk, Anant Madabhushi, Sharat Chandran, 2013, Journal of pathology informatics.

Current opinion, status and future development of digital pathology in Switzerland

Andrew Janowczyk, Inti Zlobec, Rainer Grobholz, 2019, Journal of Clinical Pathology.