{"total":28,"rows":[{"id":"2108.12043","title":"Learning Disentangled Representations in the Imaging Domain","created":"2021-08-26","cited_by_count":46,"area":null},{"id":"2203.11132","title":"Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare","created":"2022-03-21","cited_by_count":9,"area":null},{"id":"2205.01592","title":"Conditional $\\beta$-VAE for De Novo Molecular Generation","created":"2022-05-01","cited_by_count":8,"area":null},{"id":"2210.04371","title":"A Detailed Study of Interpretability of Deep Neural Network based Top Taggers","created":"2022-10-09","cited_by_count":7,"area":null},{"id":"2408.02018","title":"Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease","created":"2024-08-04","cited_by_count":7,"area":null},{"id":"2106.13734","title":"Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis","created":"2021-06-25","cited_by_count":5,"area":null},{"id":"2201.13081","title":"Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction","created":"2022-01-31","cited_by_count":4,"area":null},{"id":"2402.17806","title":"Material Microstructure Design Using VAE-Regression with Multimodal Prior","created":"2024-02-27","cited_by_count":3,"area":null},{"id":"2406.17792","title":"Applications of interpretable deep learning in neuroimaging: a comprehensive review","created":"2024-05-30","cited_by_count":3,"area":null},{"id":"2410.16945","title":"IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation","created":"2024-10-22","cited_by_count":3,"area":null},{"id":"2112.09414","title":"Disentangled representations: towards interpretation of sex determination from hip bone","created":"2021-12-17","cited_by_count":1,"area":null},{"id":"2311.12836","title":"AI-based association analysis for medical imaging using latent-space geometric confounder correction","created":"2023-10-03","cited_by_count":1,"area":null},{"id":"2504.05610","title":"Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks","created":"2025-04-08","cited_by_count":1,"area":null},{"id":"2606.07599","title":"DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2104.06613","title":"Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression","created":"2021-04-14","cited_by_count":0,"area":null},{"id":"2205.14751","title":"A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare","created":"2022-05-29","cited_by_count":0,"area":null},{"id":"2209.10029","title":"Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision","created":"2022-09-20","cited_by_count":0,"area":null},{"id":"2211.05979","title":"Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors","created":"2022-11-11","cited_by_count":0,"area":null},{"id":"2306.11107","title":"A Lightweight Generative Model for Interpretable Subject-level Prediction","created":"2023-06-19","cited_by_count":0,"area":null},{"id":"2308.08038","title":"Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views","created":"2023-08-15","cited_by_count":0,"area":null},{"id":"2406.02610","title":"MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor","created":"2024-06-03","cited_by_count":0,"area":null},{"id":"2409.07942","title":"Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data","created":"2024-09-12","cited_by_count":0,"area":null},{"id":"2410.13363","title":"Statistical testing on generative AI anomaly detection tools in Alzheimer's Disease diagnosis","created":"2024-10-17","cited_by_count":0,"area":null},{"id":"2411.11190","title":"DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images","created":"2024-11-17","cited_by_count":0,"area":null},{"id":"2502.02182","title":"Sequence models for continuous cell cycle stage prediction from brightfield images","created":"2025-02-04","cited_by_count":0,"area":null},{"id":"2508.19482","title":"MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2601.20480","title":"An explainable framework for the relationship between dementia and glucose metabolism patterns","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2607.05653","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","created":"2026-07-06","cited_by_count":0,"area":null}],"next_cursor":null}