Celine M. Vachon

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 8

Top Topics

Medical Image Fusion

Pectoral Muscle

Transfer Learning

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

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 (2024)
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)
Keshava Katti, Ramya Muthukrishnan, Angelina Heyler, Sarthak Pati, Aprupa Alahari, Michael Sanborn, Emily F. Conant, Christopher Scott, Stacey Winham, Celine M. Vachon, Pratik Chaudhari, Despina Kontos, Spyridon Bakas
MammoDL: Mammographic Breast Density Estimation using Federated Learning. CoRR (2022)
Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey 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 (2021)
Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey 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 (2020)
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)
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)
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) (2016)
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) (2013)