Publications by authors named "Tahsin M Kurc"

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ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.
Jakub R Kaczmarzyk, Rajarsi Gupta, Tahsin M Kurc, Shahira Abousamra, Joel H Saltz

Comput Methods Programs Biomed· September 2023

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Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types.
Le Hou, Rajarsi Gupta, John S Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Tahsin M Kurc

Sci Data· June 2020

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Robust Histopathology Image Analysis: to Label or to Synthesize?
Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M Kurc, Rajarsi R Gupta

Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit· June 2019

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Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images.
Le Hou, Vu Nguyen, Ariel B Kanevsky, Dimitris Samaras, Tahsin M Kurc

Pattern Recognit· February 2019

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Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images.
Si Wen, Tahsin M Kurc, Le Hou, Joel H Saltz, Rajarsi R Gupta

AMIA Jt Summits Transl Sci Proc· May 2018

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A Methodology for Texture Feature-based Quality Assessment in Nucleus Segmentation of Histopathology Image.
Si Wen, Tahsin M Kurc, Yi Gao, Tianhao Zhao, Joel H Saltz

J Pathol Inform· September 2017

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Algorithm sensitivity analysis and parameter tuning for tissue image segmentation pipelines.
George Teodoro, Tahsin M Kurç, Luís F R Taveira, Alba C M A Melo, Yi Gao

Bioinformatics· April 2017

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ConvNets with Smooth Adaptive Activation Functions for Regression.
Le Hou, Dimitris Samaras, Tahsin M Kurc, Yi Gao, Joel H Saltz

Proc Mach Learn Res· April 2017

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Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images.
Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M Kurc, Joel H Saltz

IEEE Winter Conf Appl Comput Vis· March 2017

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Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification.
Le Hou, Dimitris Samaras, Tahsin M Kurc, Yi Gao, James E Davis

Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit· January 2016

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High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms.
George Teodoro, Tony Pan, Tahsin M Kurc, Jun Kong, Lee A D Cooper

Proc IPDPS (Conf)· May 2013

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Accelerating Large Scale Image Analyses on Parallel, CPU-GPU Equipped Systems.
George Teodoro, Tahsin M Kurc, Tony Pan, Lee A D Cooper, Jun Kong

Proc IPDPS (Conf)· May 2012

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Digital Pathology: Data-Intensive Frontier in Medical Imaging: Health-information sharing, specifically of digital pathology, is the subject of this paper which discusses how sharing the rich images in pathology can stretch the capabilities of all otherwise well-practiced disciplines.
Lee A D Cooper, Alexis B Carter, Alton B Farris, Fusheng Wang, Jun Kong, Tahsin M Kurc

Proc IEEE Inst Electr Electron Eng· April 2012

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Integrative, multimodal analysis of glioblastoma using TCGA molecular data, pathology images, and clinical outcomes.
Jun Kong, Lee A D Cooper, Fusheng Wang, David A Gutman, Jingjing Gao, Tahsin M Kurc

IEEE Trans Biomed Eng· December 2011

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An integrative approach for in silico glioma research.
Lee A D Cooper, Jun Kong, David A Gutman, Fusheng Wang, Sharath R Cholleti, Tahsin M Kurc

IEEE Trans Biomed Eng· October 2010

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A caGRID-ENABLED, LEARNING BASED IMAGE SEGMENTATION METHOD FOR HISTOPATHOLOGY SPECIMENS.
David J Foran, Lin Yang, Oncel Tuzel, Wenjin Chen, Jun Hu, Tahsin M Kurc

Proc IEEE Int Symp Biomed Imaging· July 2009

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Informatics in radiology: GridCAD: grid-based computer-aided detection system.
Tony C Pan, Metin N Gurcan, Stephen A Langella, Scott W Oster, Shannon L Hastings, Tahsin M Kurc

Radiographics· June 2007

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A grid-based image archival and analysis system.
Shannon Hastings, Scott Oster, Stephen Langella, Tahsin M Kurc, Tony Pan

J Am Med Inform Assoc· June 2005

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