research
∙
09/14/2023
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
In computation pathology, the pyramid structure of gigapixel Whole Slide...
share
research
∙
08/25/2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Whole slide image (WSI) analysis has become increasingly important in th...
research
∙
08/04/2023
Frustratingly Easy Model Generalization by Dummy Risk Minimization
Empirical risk minimization (ERM) is a fundamental machine learning para...
research
∙
08/02/2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening
Breast cancer is a major cause of cancer death among women, emphasising ...
research
∙
03/24/2023
Improving API Documentation Comprehensibility via Continuous Optimization and Multilingual SDK
Optimizing and maintaining up-to-date API documentation is a challenging...
research
∙
03/23/2023
Reduce API Debugging Overhead via Knowledge Prepositioning
OpenAPI indicates a behavior where producers offer Application Programmi...
research
∙
03/23/2023
gDoc: Automatic Generation of Structured API Documentation
Generating and maintaining API documentation with integrity and consiste...
research
∙
03/18/2023
HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck
Alzheimer's disease prognosis is critical for early Mild Cognitive Impai...
research
∙
03/14/2023
GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue
Current point cloud segmentation architectures suffer from limited long-...
research
∙
02/21/2023
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
Whole slide image (WSI) has been widely used to assist automated diagnos...
research
∙
11/17/2022
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Traffic flow analysis is revolutionising traffic management. Qualifying ...
research
∙
10/30/2022
gMeta: Template-based Regular Expression Generation over Noisy Examples
Regular expressions (regexes) are widely used in different fields of com...
research
∙
10/12/2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Learning medical visual representations directly from paired radiology r...
research
∙
09/18/2022
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Surgical action triplet recognition provides a better understanding of t...
research
∙
09/13/2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Modern deep neural networks struggle to transfer knowledge and generaliz...
research
∙
01/07/2021
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
Annotation scarcity is a long-standing problem in medical image analysis...
research
∙
10/13/2020
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
The whole slide histopathology images (WSIs) play a critical role in gas...
research
∙
10/13/2020
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Deep convolutional neural networks have significantly boosted the perfor...
research
∙
10/04/2020
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation
The success of deep convolutional neural networks is partially attribute...
research
∙
07/18/2020
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
The generalization capability of neural networks across domains is cruci...
research
∙
07/13/2020
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation
Medical image annotations are prohibitively time-consuming and expensive...
research
∙
10/10/2019
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
Standard plane localization is crucial for ultrasound (US) diagnosis. In...
research
∙
07/16/2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Training deep convolutional neural networks usually requires a large amo...
research
∙
06/26/2019
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
Accurate segmentation of the optic disc (OD) and cup (OC)in fundus image...
research
∙
02/20/2019
