Linked e-resources

Details

Clinical Applications
Ophthalmology
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography
Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos
I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining
Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
Computational (Integrative) Pathology
GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
Prototypical models for classifying high-risk atypical breast lesions
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
A computational geometry approach for modeling neuronal fiber pathways
TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification
From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
Early Detection of Liver Fibrosis Using Graph Convolutional Networks
Hierarchical graph pathomic network for progression free survival prediction
Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in Humans
Weakly supervised pan-cancer segmentation tool
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations
MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification
Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image
Hybrid Supervision Learning for Whole Slide Image Classification
MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors
Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images
Modalities
Microscopy
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks
Annotation-efficient Cell Counting
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
Learning Neuron Stitching for Connectomics
CA^{2.5}-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection
Automated Malaria Cells Detection from Blood Smears under Severe Class Imbalance via Importance-aware Balanced Group Softmax
Non-parametric vignetting correction for sparse spatial transcriptomics images
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
Deep Reinforcement Exemplar Learning for Annotation Refinement
Modalities
Histopathology
Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment
Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
Ranking loss: A ranking-based deep neural network for colorectal cancer grading in pathology images
Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains
Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images
Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images
Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images
Adversarial learning of cancer tissue representations
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
Modalities
Ultrasound
USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning
Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound
Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images
Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval
Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach.

Browse Subjects

Show more subjects...

Statistics

from
to
Export