Andrew Janowczyk

25 papers B 2Journal 12Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images. CoRR Mark S. Keller, Nicholas J. Lucarelli, Yijiang Chen, Samuel P. Border, Andrew Janowczyk, Jonathan Himmelfarb, Matthias Kretzler, Jeffrey Hodgin, Laura Barisoni, Dawit Demeke, Leal Herlitz, Gilbert Moeckel, Avi Z. Rosenberg, Yanli Ding, Pinaki Sarder, Nils Gehlenborg
2024	J	`jnl`	HoverFast: an accurate, high-throughput, clinically deployable nuclear segmentation tool for brightfield digital pathology images. J. Open Source Softw. Petros Liakopoulos, Julien Massonnet, Jonatan Bonjour, Medya Tekes Mizrakli, Simon Graham, Michel A. Cuendet, Amanda H. Seipel, Olivier Michielin, Doron Merkler, Andrew Janowczyk
2024	J	`jnl`	PatchSorter: a high throughput deep learning digital pathology tool for object labeling. npj Digit. Medicine 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
2023	J	`jnl`	CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. CoRR 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
2023	J	`jnl`	Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer. Medical Image Anal. Yufei Zhou, Can Koyuncu, Cheng Lu, Rainer Grobholz, Ian Katz, Anant Madabhushi, Andrew Janowczyk
2023	J	`jnl`	PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling. CoRR 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
2023	—	`conf`	Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker. Digital and Computational Pathology Germán Corredor, Can Koyuncu, Andrew Janowczyk, Paula Toro, Sepideh Azarianpour, James S. Lewis Jr., Anant Madabhushi
2021	J	`jnl`	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. Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James S. Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi
2020	—	`conf`	Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. Digital Pathology 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
2020	J	`jnl`	MRQy: An Open-Source Tool for Quality Control of MR Imaging Data. CoRR Amir Reza Sadri, Andrew Janowczyk, Ren Zou, Ruchika Verma, Jacob Antunes, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
2020	—	`conf`	Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer. Digital Pathology Can Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan T. C. Liu, Anant Madabhushi
2019	—	`ed.`	Digital Pathology - 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings ECDP Constantino Carlos Reyes-Aldasoro, Andrew Janowczyk, Mitko Veta, Peter Bankhead, Korsuk Sirinukunwattana
2018	—	`conf`	A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI. Computer-Aided Diagnosis Kavya Ravichandran, Nathaniel Braman, Andrew Janowczyk, Anant Madabhushi
2018	J	`jnl`	A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Andrew Janowczyk, Scott Doyle, Hannah Gilmore, Anant Madabhushi
2018	—	`conf`	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. Digital Pathology Patrick Leo, Eswar Shankar, Robin Elliott, Andrew Janowczyk, Anant Madabhushi, Sanjay Gupta
2017	—	`ch.`	Deep Learning Tissue Segmentation in Cardiac Histopathology Images. Deep Learning for Medical Image Analysis Jeffrey J. Nirschl, Andrew Janowczyk, Eliot G. Peyster, Renee Frank, Kenneth B. Margulies, Michael D. Feldman, Anant Madabhushi
2017	J	`jnl`	Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Comput. Medical Imaging Graph. Andrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
2016	—	`conf`	Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images. Digital Pathology David Romo-Bucheli, Andrew Janowczyk, Eduardo Romero, Hannah Gilmore, Anant Madabhushi
2012	J	`jnl`	High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts. IEEE Trans. Biomed. Eng. Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi
2011	J	`jnl`	A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Anal. Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
2011	B	`conf`	Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs. Image Processing Andrew Janowczyk, Sharat Chandran, Michael D. Feldman, Anant Madabhushi
2010	B	`conf`	A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation. Image Processing Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
2010	—	`conf`	High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Prostate Cancer Imaging Jun Xu, Rachel Sparks, Andrew Janowczyk, John Tomaszewski, Michael D. Feldman, Anant Madabhushi
2009	—	`conf`	Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. MICCAI (1) Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi
2008	—	`conf`	Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application. ICVGIP Andrew Janowczyk, Sharat Chandran, Srinivas Aluru