🍎Finished
Evidence Localization for Pathology Images Using Weakly Supervised Learning
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy
Unsupervised Ensemble Strategy for Retinal Vessel Segmentation
Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images
Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations
Local and Global Consistency Regularized Mean Teacher for Semi- supervised Nuclei Classification
🍏Unfinished
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation
Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound
Unsupervised Quality Control of Image Segmentation Based on Bayesian Learning .
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans .
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation .
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation .
Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation .
Instance Segmentation from Volumetric Biomedical Images Without Voxel-Wise Labeling .
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice .
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation .
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images .
PHiSeg: Capturing Uncertainty in Medical Image Segmentation
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images .
Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation .
Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data .
Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences Using Contextual Memory
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion.
Mixed-Supervised Dual-Network for Medical Image Segmentation .
Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks .
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images .
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation . .
Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents
Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks. .
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation .
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss .
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation .
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation .
3D U2-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation .
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation .
Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation .
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network
Constrained Domain Adaptation for Segmentation
🍎Finished
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Uncertainty-Informed Detection of Epileptogenic Brain Malformations Using Bayesian Neural Networks
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube
Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning
DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi- supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification
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