Computational (Integrative) Pathology
Semi-supervised histological image segmentation via hierarchical consistency enforcement
Federated Stain Normalization for Computational Pathology
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification
Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction
SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis
Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study
End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
Sample hardness based gradient loss for long-tailed cervical cell detection
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology
Predicting molecular traits from tissue morphology through self-interactive multi-instance learning
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation
Transformer based multiple instance learning for weakly supervised histopathology image segmentation
GradMix for nuclei segmentation and classification in imbalanced pathology image datasets
Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors
Semi-Supervised PR Virtual Staining for Breast Histopathological Images
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images
Test Time Transform Prediction for Open Set Histopathological Image Recognition
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification
Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer
Self-Supervised Pre-Training for Nuclei Segmentation
LifeLonger: A Benchmark for Continual Disease Classification
Unsupervised Nuclei Segmentation using Spatial Organization Priors
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling
Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation
Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification
Computational Anatomy and Physiology
Physiological Model based Deep Learning Framework for Cardiac TMP Recovery
DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models
Landmark-free Statistical Shape Modeling via Neural Flow Deformations
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach
Opthalmology
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT
DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation
Visual explanations for the detection of diabetic retinopathy from retinal fundus images
Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task
Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography
Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation
Opinions Vary? Diagnosis First!
Learning self-calibrated optic disc and cup segmentation from multi-rater annotations
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
DRGen: Domain Generalization in Diabetic Retinopathy Classification
Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images
SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity
Noise transfer for unsupervised domain adaptation of retinal OCT images
Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation
Fetal Imaging
Weakly Supervised Online Action Detection for Infant General Movements
Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression
SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency
Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network.