Registration
Hypermorph: Amortized Hyperparameter Learning for Image Registration
Deep learning based geometric registration for medical images: How accurate can we get without visual features
Diffeomorphic registration with density changes for the analysis of imbalanced shapes
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum
Multiple-shooting adjoint method for whole-brain dynamic causal modeling
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
Partial Matching in the Space of Varifolds
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images
Cortical Morphometry Analysis based on Worst Transportation Theory
Geodesic B-Score for Improved Assessment of Knee Osteoarthritis
Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping
Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts
Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets
A Multi-Scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize The Eloquent Cortex in Brain Tumor Patients
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
Geodesic Tubes for Uncertainty Quantification in Diffusion MRI
Structural Connectome Atlas Construction in the Space of Riemannian Metrics
A Higher Order Manifold-valued Convolutional Neural Network with Applications in Diffusion MRI Processing
Representation Disentanglement for Multi-modal Brain MR Analysis
Variational Knowledge Distillation for Disease Classification in Chest X-Rays
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
A 3D SegNet: Anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation, artifact reduction, and modality translation
Unsupervised Learning of Local Discriminative Representation for Medical Images
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer
Segmenting two-dimensional structures with strided tensor networks
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline
Feature Library: A Benchmark for Cervical Lesion Segmentation
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation.-EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images
Teach me to segment with mixed-supervision: confident students become masters
Sequential modelling
Future Frame Prediction for Robot-assisted Surgery
Velocity-To-Pressure (V2P)
Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities
Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces
Mixture modeling for identifying subtypes in disease course mapping
Learning transition times in event sequences: the temporal event-based model of disease progression
Learning with few or low quality labels
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator
Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects using Very Few Expert Segmentations
Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Multimodal Self-Supervised Learning for Medical Image Analysis
Uncertainty Quantification and Generative Modelling
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations
Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection
A Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations
Is segmentation uncertainty useful?
Principled Ultrasound Data Augmentation for Classification of Standard Planes
Adversarial Regression Learning for Bone Age Estimation
Learning image quality assessment by reinforcing task amenable data selection
Collaborative Multi-Agent Reinforcement Learning for Landmark Localization Using Continuous Action Space.