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Biomarkers Resolving quantitative MRI model degeneracy with machine learning via training data distribution design
Subtype and stage inference with timescales
Brain connectomics HoloBrain: A Harmonic Holography for Self-organized Brain Function
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
Computer-Aided Diagnosis/Surgery Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease
Filtered trajectory recovery: a continuous extension to event-based model for Alzheimer’s disease progression modeling
Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-stage Breast Invasive Carcinoma from Whole-slide Pathological Images
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Pixel-level explanation of multiple instance learning models in biomedical single cell images
Marr Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
Weakly Semi-Supervised Detection in Lung Ultrasound Videos
Optimization Differentiable Gamma Index-based loss functions: accelerating Monte-Carlo radiotherapy dose simulation
Diversified stochastic orthonormal projective non-negative matrix factorization for big neuroimaging data
Reconstruction Deep Physics-informed Super-resolution of Cardiac 4D-flow MRI
Fast-MC-PET: A Novel Deep Learning-aid Motion Correction and Reconstruction Framework for Accelerated PET
MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging.
Subtype and stage inference with timescales
Brain connectomics HoloBrain: A Harmonic Holography for Self-organized Brain Function
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
Computer-Aided Diagnosis/Surgery Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease
Filtered trajectory recovery: a continuous extension to event-based model for Alzheimer’s disease progression modeling
Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-stage Breast Invasive Carcinoma from Whole-slide Pathological Images
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Pixel-level explanation of multiple instance learning models in biomedical single cell images
Marr Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
Weakly Semi-Supervised Detection in Lung Ultrasound Videos
Optimization Differentiable Gamma Index-based loss functions: accelerating Monte-Carlo radiotherapy dose simulation
Diversified stochastic orthonormal projective non-negative matrix factorization for big neuroimaging data
Reconstruction Deep Physics-informed Super-resolution of Cardiac 4D-flow MRI
Fast-MC-PET: A Novel Deep Learning-aid Motion Correction and Reconstruction Framework for Accelerated PET
MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging.