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2020 – today
- 2024
[j7]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)- 2023
- [j6]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: 102702 (2023) - [i3]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 abs/2307.07528 (2023) - [i2]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 abs/2307.08673 (2023) - 2021
- [j5]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: 101903 (2021) - 2020
- [c10]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: 113200G - [c9]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: 1132004 - [i1]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 abs/2004.04871 (2020)
2010 – 2019
- 2019
- [e1]Constantino Carlos Reyes-Aldasoro, Andrew Janowczyk, Mitko Veta, Peter Bankhead, Korsuk Sirinukunwattana:
Digital Pathology - 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11435, Springer 2019, ISBN 978-3-030-23936-7 [contents] - 2018
- [j4]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): 270-276 (2018) - [c8]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: 105750C - [c7]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: 105810D - 2017
- [j3]Andrew Janowczyk, Ajay Basavanhally, Anant Madabhushi:
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Comput. Medical Imaging Graph. 57: 50-61 (2017) - [p1]Jeffrey J. Nirschl, Andrew Janowczyk, Eliot G. Peyster, Renee Frank, Kenneth B. Margulies, Michael D. Feldman, Anant Madabhushi:
Deep Learning Tissue Segmentation in Cardiac Histopathology Images. Deep Learning for Medical Image Analysis 2017: 179-195 - 2016
- [c6]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: 979106 - 2012
- [j2]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): 1240-1252 (2012) - 2011
- [j1]Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi:
A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Anal. 15(6): 851-862 (2011) - [c5]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: 79622N - 2010
- [c4]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: 77-88 - [c3]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: 76230Y
2000 – 2009
- 2009
- [c2]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: 230-238 - 2008
- [c1]Andrew Janowczyk, Sharat Chandran, Srinivas Aluru:
Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application. ICVGIP 2008: 171-178
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last updated on 2024-08-23 18:29 CEST by the dblp team
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