Publications by authors named "Tahsin Kurc"

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Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images.
Shahira Abousamra, Danielle Fassler, Rajarsi Gupta, Tahsin Kurc, Luisa F Escobar-Hoyos

IEEE Trans Med Imaging· September 2025

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PixCell: A generative foundation model for digital histopathology images.
Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Varun Belagali, Tahsin Kurc

ArXiv· June 2025

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Pathomics Image Analysis of Tumor Infiltrating Lymphocytes (TILs) in Colon Cancer.
Yuwei Zhang, Shahira Abousamra, Mahmudul Hasan, Luke Torre-Healy, Spencer Krichevsky, Tahsin Kurc

Res Sq· April 2025

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Linking and GenBank to the National Clinical Cohort Collaborative.
Ahmad Baghal, Joel Saltz, Tahsin Kurc, Prateek Prasanna, Samantha Baghal

Learn Health Syst· January 2025

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Optimized Whole-Slide-Image H&E Stain Normalization: A Step Towards Big Data Integration in Digital Pathology.
Jose L Agraz, Carlos Agraz, Andrew A Chen, Charles Rice, Robert S Pozos, Tahsin Kurc

IEEE Open J Eng Med Biol· September 2024

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Uncertainty Estimation for Tumor Prediction with Unlabeled Data.
Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin Kurc

Conf Comput Vis Pattern Recognit Workshops· June 2024

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Keratin 17 modulates the immune topography of pancreatic cancer.
Lyanne Delgado-Coka, Michael Horowitz, Mariana Torrente-Goncalves, Lucia Roa-Peña, Cindy V Leiton, Tahsin Kurc

J Transl Med· May 2024

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Understanding metric-related pitfalls in image analysis validation.
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tahsin Kurc

ArXiv· February 2024

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An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on Machine Learning and Joint Kernel-based Supervised Hashing.
David J Foran, Wenjin Chen, Tahsin Kurc, Rajarshi Gupta, Jakub Roman Kaczmarzyk

Cancer Inform· February 2024

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Understanding metric-related pitfalls in image analysis validation.
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tahsin Kurc

Nat Methods· February 2024

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Metrics reloaded: recommendations for image analysis validation.
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Tahsin Kurc

Nat Methods· February 2024

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Keratin 17 modulates the immune topography of pancreatic cancer.
Lyanne A Delgado-Coka, Michael Horowitz, Mariana Torrente-Goncalves, Lucia Roa-Peña, Cindy V Leiton, Tahsin Kurc

Res Sq· February 2024

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Open and reusable deep learning for pathology with WSInfer and QuPath.
Jakub R Kaczmarzyk, Alan O'Callaghan, Fiona Inglis, Swarad Gat, Tahsin Kurc

NPJ Precis Oncol· January 2024

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PathLDM: Text conditioned Latent Diffusion Model for Histopathology.
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin Kurc, Joel Saltz

IEEE Winter Conf Appl Comput Vis· January 2024

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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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Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images.
Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi Gupta, Tahsin Kurc

Proc Mach Learn Res· July 2023

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Topology-Guided Multi-Class Cell Context Generation for Digital Pathology.
Shahira Abousamra, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz

Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit· June 2023

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Effective and efficient active learning for deep learning-based tissue image analysis.
André L S Meirelles, Tahsin Kurc, Jun Kong, Renato Ferreira, Joel Saltz

Bioinformatics· April 2023

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Author Correction: Federated learning enables big data for rare cancer boundary detection.
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, Tahsin Kurc

Nat Commun· January 2023

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Robust Image Population Based Stain Color Normalization: How Many Reference Slides Are Enough?
Jose L Agraz, Caleb M Grenko, Andrew A Chen, Angela N Viaene, MacLean D Nasrallah, Tahsin Kurc

IEEE Open J Eng Med Biol· January 2023

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Federated learning enables big data for rare cancer boundary detection.
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, Tahsin Kurc

Nat Commun· December 2022

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Deep learning for survival analysis in breast cancer with whole slide image data.
Huidong Liu, Tahsin Kurc

Bioinformatics· July 2022

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Effective active learning in digital pathology: A case study in tumor infiltrating lymphocytes.
André Ls Meirelles, Tahsin Kurc, Joel Saltz, George Teodoro

Comput Methods Programs Biomed· June 2022

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Building Efficient CNN Architectures for Histopathology Images Analysis: A Case-Study in Tumor-Infiltrating Lymphocytes Classification.
André L S Meirelles, Tahsin Kurc, Jun Kong, Renato Ferreira, Joel H Saltz

Front Med (Lausanne)· May 2022

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Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression.
Danielle J Fassler, Luke A Torre-Healy, Rajarsi Gupta, Alina M Hamilton, Soma Kobayashi, Tahsin Kurc

Cancers (Basel)· April 2022

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