Andrew Janowczyk

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 13

Top Topics

Prognostic Factors

Prostate Cancer

Microscopy Images

Top Venues

Medical Imaging: Digital Pathology

Medical Image Anal.

Medical Imaging: Computer-Aided Diagnosis

Publications

Cedric Walker, Tasneem Talawalla, Robert Toth, Akhil Ambekar, Kien Rea, Oswin Chamian, Fan Fan, Sabina Berezowska, Sven Rottenberg, Anant Madabhushi, Marie Maillard, Laura Barisoni, Hugo Mark Horlings, Andrew Janowczyk
PatchSorter: a high throughput deep learning digital pathology tool for object labeling. npj Digit. Medicine 7 (1) (2024)
Fan Fan, Georgia Martinez, Thomas DeSilvio, John Shin, Yijiang Chen, Bangchen Wang, Takaya Ozeki, Maxime W. Lafarge, Viktor H. Koelzer, Laura Barisoni, Anant Madabhushi, Satish E. Viswanath, Andrew Janowczyk
CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. CoRR (2023)
Yufei Zhou, Can Fahrettin Koyuncu, Cheng Lu, Rainer Grobholz, Ian Katz, Anant Madabhushi, Andrew Janowczyk
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer. Medical Image Anal. 84 (2023)
Cedric Walker, Tasneem Talawalla, Robert Toth, Akhil Ambekar, Kien Rea, Oswin Chamian, Fan Fan, Sabina Berezowska, Sven Rottenberg, Anant Madabhushi, Marie Maillard, Laura Barisoni, Hugo Mark Horlings, Andrew Janowczyk
PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling. CoRR (2023)
Cheng Lu, Can Fahrettin Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James Lewis, Vamsidhar Velcheti, Anant Madabhushi
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Anal. 68 (2021)
Amir Reza Sadri, Andrew Janowczyk, Ren Zou, Ruchika Verma, Jacob Antunes, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data. CoRR (2020)
Sara ArabYarmohammadi, Zelin Zhang, Patrick Leo, Marjan Firouznia, Andrew Janowczyk, Haojia Li, Nathaniel M. Braman, Kaustav Bera, Behtash G. Nezami, Howard Meyerson, Jun Xu, Leland Metheny, Anant Madabhushi
Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. Medical Imaging: Digital Pathology (2020)
Can Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan T. C. Liu, Anant Madabhushi
Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer. Medical Imaging: Digital Pathology (2020)
Patrick Leo, Eswar Shankar, Robin Elliott, Andrew Janowczyk, Anant Madabhushi, Sanjay Gupta
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. Medical Imaging: Digital Pathology (2018)
Kavya Ravichandran, Nathaniel Braman, Andrew Janowczyk, Anant Madabhushi
A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2018)
Andrew Janowczyk, Scott Doyle, Hannah Gilmore, Anant Madabhushi
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (3) (2018)
Andrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Comput. Medical Imaging Graph. 57 (2017)
David Romo-Bucheli, Andrew Janowczyk, Eduardo Romero, Hannah Gilmore, Anant Madabhushi
Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images. Medical Imaging: Digital Pathology (2016)
Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi
High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts. IEEE Trans. Biomed. Eng. 59 (5) (2012)
Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Anal. 15 (6) (2011)
Andrew Janowczyk, Sharat Chandran, Michael D. Feldman, Anant Madabhushi
Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs. Medical Imaging: Image Processing (2011)
Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation. Medical Imaging: Image Processing (2010)
Jun Xu, Rachel Sparks, Andrew Janowczyk, John E. Tomaszewski, Michael D. Feldman, Anant Madabhushi
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Prostate Cancer Imaging (2010)
Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi
Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. MICCAI (1) (2009)
Andrew Janowczyk, Sharat Chandran, Srinivas Aluru
Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application. ICVGIP (2008)