Segmentation
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients
CircleNet: Anchor-free Glomerulus Detection with Circle Representation
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies
Diagnostic Assessment of Deep Learning Algorithms for Detection and Segmentation of Lesion in Mammographic images
Efficient and Phase-aware Video Super-resolution for Cardiac MRI
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation
Learning Directional Feature Maps for Cardiac MRI Segmentation
Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms
TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling
Pay More Attention to Discontinuity for Medical Image Segmentation
Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation
Deep Class-specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation
Memory-efficient Automatic Kidney and Tumor Segmentation Based on Non-local Context Guided 3D U-Net
Deep Small Bowel Segmentation with Cylindrical Topological Constraints
Learning Sample-adaptive Intensity Lookup Table for Brain Tumor Segmentation
Superpixel-Guided Label Softening for Medical Image Segmentation
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
Robust Medical Image Segmentation from Non-expert Annotations with Tri-network
Robust Fusion of Probability Maps
Calibrated Surrogate Maximization of Dice
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices
Widening the focus: biomedical image segmentation challenges and the underestimated role of patch sampling and inference strategies
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing
Deep Active Contour Network for Medical Image Segmentation
Learning Crisp Edge Detector Using Logical Refinement Network
Defending Deep Learning-based Biomedical Image Segmentation from Adversarial Attacks: A Low-cost Frequency Refinement Approach
CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation
INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs
SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos
Orchestrating Medical Image Compression and Remote Segmentation Networks
Bounding Maps for Universal Lesion Detection
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks
Mt-UcGAN: Multi-task uncertainty-constrained GAN for joint segmentation, quantification and uncertainty estimation of renal tumors on CT
Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations
Multi-phase and Multi-level Selective Feature Fusion for Automated Pancreas Segmentation from CT Images
Asymmetrical Multi-Task Attention U-Net for the Segmentation of Prostate Bed in CT Image
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans
Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans
Universal loss reweighting to balance lesion size inequality in 3D medical image segmentation
Brain tumor segmentation with missing modalities via latent multi-source correlation representation
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
One Click Lesion RECIST Measurement and Segmentation on CT Scans
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI
Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans
Shape Models and Landmark Detection
Graph Reasoning and Shape Constraints for Cardiac Segmentation in Congenital Heart Defect
Nonlinear Regression on Manifolds for Shape Analysis using Intrinsic Bézier Splines
Self-Supervised Discovery of Anatomical Shape Landmarks
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms
Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes
Deep Learning Assisted Automatic Intra-operative 3D Aortic Deformation Reconstruction
Landmarks Detection with Anatomical Constraints for Total Hip Arthroplasty Preoperative Measurements
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
Miss the point: Targeted adversarial attack on multiple landmark detection
Automatic Tooth Segmentation and Dense Correspondence of 3D Dental Model
Move over there: One-click deformation correction for image fusion during endovascular aortic repair
Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model
Deformation Aware Augmented Reality for Craniotomy using 3D/2D Non-rigid Registration of Cortical Vessels
Skip-StyleGAN: Skip-connected Generative Adversarial Networks for Generating 3D Rendered Image of Hand Bone Complex
Dynamic multi-object Gaussian process models
A kernelized multi-level localization method for flexible shape modeling with few training data
Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta
Convolutional Bayesian Models for Anatomical Landmarking on Multi-Dimensional Shapes
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
Multi-Task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images using a Local Attention-based Graph Convolution Network.