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)

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)

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 (AMIA, 2017)

Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. - Akram Farhadi; David Chen 003; Rozalina G. McCoy; Christopher Scott; John A. Miller 001; Celine M. Vachon; Che Ngufor (DSAA, 2019)

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)

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)

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; et al. (CoRR, 2022)

Classification Using Deep Transfer Learning on Structured Healthcare Data. - Ayda Farhadi; David Chen 003; Rozalina G. McCoy; Christopher Scott; Ping Ma 001; Celine M. Vachon; Jingyi Zhang 004; Che Ngufor; John A. Miller 001 (SSCI, 2023)

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, 2024)