Celine M. Vachon

According to our database, Celine M. Vachon authored at least 9 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient adversarial debiasing with concept activation vector - Medical image case-studies.

Ramon Correa, Khushbu Pahwa, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee

J. Biomed. Informatics, January, 2024

2023

Classification Using Deep Transfer Learning on Structured Healthcare Data.

Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

MammoDL: Mammographic Breast Density Estimation using Federated Learning.

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

CoRR, 2022

2021

Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.

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

Medical Image Anal., 2021

2020

Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.

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

CoRR, 2020

2019

Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data.

Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2017

Novel Pedigree Analysis Allows for Genetic Heterogeneity to Aid in Gene Discovery for Common, Complex Diseases.

Rosalie G. Waller, Todd M. Darlington, Myke Madsen, Robert Klein, Steven Lipkin, Celine M. Vachon, Nicola Camp

Proceedings of the AMIA 2017, 2017

2016

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring.

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

IEEE Trans. Medical Imaging, 2016

2013

A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis.

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

Bioinform., 2013