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ORCIDCeline M. Vachon
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2020 – today
- 2024
[j4]Ramon Correa, Khushbu Pahwa
, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee:
Efficient adversarial debiasing with concept activation vector - Medical image case-studies. J. Biomed. Informatics 149: 104548 (2024)- 2023
- [c3]Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller:
Classification Using Deep Transfer Learning on Structured Healthcare Data. SSCI 2023: 1560-1565 - 2022
- [i2]Keshava Katti, Ramya Muthukrishnan, Angelina Heyler, Sarthak Pati, Aprupa Alahari, Michael Sanborn, Emily F. Conant, Christopher G. Scott, Stacey J. Winham, Celine M. Vachon, Pratik Chaudhari, Despina Kontos, Spyridon Bakas:
MammoDL: Mammographic Breast Density Estimation using Federated Learning. CoRR abs/2206.05575 (2022) - 2021
- [j3]Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher G. Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey J. Winham, Emily F. Conant, Celine M. Vachon, Despina Kontos:
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. Medical Image Anal. 73: 102138 (2021) - 2020
- [i1]Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher G. Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey J. Winham, Emily F. Conant, Celine M. Vachon, Despina Kontos:
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. CoRR abs/2011.08001 (2020)
2010 – 2019
- 2019
- [c2]Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor:
Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. DSAA 2019: 277-286 - 2017
- [c1]Rosalie G. Waller, Todd M. Darlington, Myke Madsen, Robert Klein, Steven Lipkin, Celine M. Vachon, Nicola Camp:
Novel Pedigree Analysis Allows for Genetic Heterogeneity to Aid in Gene Discovery for Common, Complex Diseases. AMIA 2017 - 2016
- [j2]Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, Martin Lillholm:
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans. Medical Imaging 35(5): 1322-1331 (2016) - 2013
- [j1]Sarah E. Reese, Kellie J. Archer, Terry M. Therneau, Elizabeth J. Atkinson, Celine M. Vachon, Mariza de Andrade, Jean-Pierre A. Kocher, Jeanette E. Eckel-Passow:
A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis. Bioinform. 29(22): 2877-2883 (2013)
Coauthor Index
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last updated on 2024-06-10 21:26 CEST by the dblp team
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