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2020 – today
- 2024
[c10]Jack Breen, Nishant Ravikumar, Katie Allen, Kieran Zucker, Nicolas M. Orsi:
Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping. ISBI 2024: 1-5- [i6]Jack Breen, Katie Allen, Kieran Zucker
, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar:
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification. CoRR abs/2405.09990 (2024) - [i5]Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar:
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. CoRR abs/2407.18105 (2024) - 2023
- [j3]Tanja Magoc, Katie S. Allen, Cara McDonnell, Jean-Paul Russo, Jonathan Cummins, Joshua R. Vest, Christopher A. Harle:
Generalizability and portability of natural language processing system to extract individual social risk factors. Int. J. Medical Informatics 177: 105115 (2023) - [j2]Brian E. Dixon, Catherine J. Staes, Jessica Acharya, Katie S. Allen, Joel Hartsell, Theresa Cullen, Leslie Lenert, Donald W. Rucker, Harold P. Lehmann:
Enhancing the nation's public health information infrastructure: a report from the ACMI symposium. J. Am. Medical Informatics Assoc. 30(5): 1000-1005 (2023) - [j1]Jessica C. Acharya, Catherine J. Staes, Katie S. Allen, Joel Hartsell, Theresa A. Cullen, Leslie Lenert, Donald W. Rucker, Harold P. Lehmann, Brian E. Dixon:
Strengths, weaknesses, opportunities, and threats for the nation's public health information systems infrastructure: synthesis of discussions from the 2022 ACMI Symposium. J. Am. Medical Informatics Assoc. 30(6): 1011-1021 (2023) - [i4]Jack Breen, Katie S. Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar:
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. CoRR abs/2302.08867 (2023) - [i3]Jack Breen, Katie S. Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar:
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. CoRR abs/2303.18005 (2023) - [i2]Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi:
Generative Adversarial Networks for Stain Normalisation in Histopathology. CoRR abs/2308.02851 (2023) - [i1]Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi:
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning. CoRR abs/2310.12866 (2023) - 2022
- [c9]Tilanka Chandrasekera, Nicole Colston, Tutaleni I. Asino, Cynthia Orona, Katie Allen, Allison Howard, Piper Bott, Oluwafikayo Adewumi:
Work-in-Progress - Decolonizing the Digital Divide: Problem Based Spatial Design Through Immersive Technology for STEM Education in Minority Populations. iLRN 2022: 1-3 - 2021
- [c8]Katie S. Allen, Elizabeth C. Danielson, Sarah M. Downs, Olena Mazurenko, Julie DiIulio, Burke W. Mamlin, Christopher A. Harle:
Evaluating the Utility of a Prototype Clinical Decision Support Tool for Chronic Pain Treatment Choices in Primary Care. AMIA 2021 - [c7]Katie Allen, Daniel Hood, Jonathan Cummins, Suranga Nath Kasthurirathne, Peter J. Embí, Joshua R. Vest:
Extracting Social Variables from Clinical Documentation to Better Facilitate Response to Patient Need. AMIA 2021 - [c6]Sarah El-Azab, Siu Hui, Heidi Hosler, Katie Allen:
Race and Ethnicity Agreement Between Medicaid, Health Information Exchange, and Electronic Health Records. AMIA 2021 - 2020
- [c5]Sarah El-Azab, Luke Golichowski, Heidi Hosler, Siu Hui, Katie Allen:
Creating a Standardized Approach for Extracting Race and Ethnicity from a Regional Health Information Exchange. AMIA 2020
2010 – 2019
- 2019
- [c4]Daniel Hood, Shaun J. Grannis, Peter J. Embí, Josh Martin, Darshan Shah, John Roach, Katie Allen:
An information infrastructure for federated, person-level linkage and query capability across private- and public-sector health data: The Indiana state EMS to HIE ED pilot project. AMIA 2019 - 2018
- [c3]Swapna Abhyankar, Mary Zabriskie, Katie Allen, Daniel J. Vreeman:
Improving Mapping Accuracy with a Guide for LOINC Microbiology Terms. AMIA 2018 - 2017
- [c2]Theresa Cullen, Katie Allen, Sara Armson, Anna Roberts, Daniel J. Vreeman:
The Capture of Social and Behavioral Determinants of Health in Electronic Health Records. AMIA 2017 - 2015
- [c1]Jon D. Duke, Daniel J. Vreeman, Jeremy Leventhal, Chen Wen, Katie Allen, David A. Haggstrom:
Regenstrief ePRO: A Rule-Based Platform for Capturing Targeted Patient-Reported Outcomes. AMIA 2015
Coauthor Index
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last updated on 2024-09-09 01:18 CEST by the dblp team
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