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Bioinformatics | Computational Biology | Genomics Deep learning in spatially resolved transcriptfomics: a comprehensive technical view. March 14, 2024
Neurology | Radiology Deep Learning-Driven Transformation: A Novel Approach for Mitigating Batch Effects in Diffusion MRI Beyond Traditional Harmonization. October 25, 2023
Computational Biology | Genomics scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics. June 23, 2023
Computer Science | Neurology DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data. May 10, 2023
Neurology | Radiology Image Harmonization: A Review of Statistical and Deep Learning Methods for Removing Batch Effects and Evaluation Metrics for Effective Harmonization. April 21, 2023
Biomedical imaging | Neuroimaging Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study. May 9, 2022
Neurology | Radiology Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. February 7, 2022
Bioinformatics | Computational Biology Mapping single-cell data to reference atlases by transfer learning. August 31, 2021
Dermatopathology | Pathology Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study. February 2, 2021
Bioinformatics | Data Science | Metabolomics NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data. March 24, 2020