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Patterns (New York, N.Y.)|September 10, 2025
ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of expertsJonathan de Bruin, Peter Lombaers, Casper Kaandorp, et al.Patterns (New York, N.Y.)|June 9, 2025
Bringing AI participation down to scaleDavid Moats, Chandrima GangulyPatterns (New York, N.Y.)|June 9, 2025
SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputationBrandon Theodorou, Anant Dadu, Mike Nalls, et al.Patterns (New York, N.Y.)|June 9, 2025
Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation dataJakub Mlost, Rame Dawli, Xuan Liu, et al.Patterns (New York, N.Y.)|February 19, 2024
A critical period for developing face recognitionJinge Wang, Runnan Cao, Puneeth N Chakravarthula, et al.Patterns (New York, N.Y.)|February 19, 2024
MDIC3: Matrix decomposition to infer cell-cell communicationYi Liu, Yuelei Zhang, Xiao Chang, et al.Patterns (New York, N.Y.)|February 19, 2024
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovationSuraj Rajendran, Weishen Pan, Mert R Sabuncu, et al.Patterns (New York, N.Y.)|February 19, 2024
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmologyBingjie Yan, Danmin Cao, Xinlong Jiang, et al.Patterns (New York, N.Y.)|March 15, 2024
The DIRAC framework: Geometric structure underlies roles of diversity and accuracy in combining classifiersMatthew J Sniatynski, John A Shepherd, Lynne R Wilkens, et al.Patterns (New York, N.Y.)|March 15, 2024
Federated learning for multi-omics: A performance evaluation in Parkinson's diseaseBenjamin P Danek, Mary B Makarious, Anant Dadu, et al.Pageof 95