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
∙
08/27/2023
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars
The Segment Anything Model (SAM) has demonstrated remarkable capabilitie...
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
∙
07/21/2023
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation
Medical imaging has witnessed remarkable progress but usually requires a...
research
∙
07/19/2023
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
Cross-modality medical image synthesis is a critical topic and has the p...
research
∙
07/09/2023
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
Graph-based methods have been extensively applied to whole-slide histopa...
research
∙
05/22/2023
Relabel Minimal Training Subset to Flip a Prediction
Yang et al. (2023) discovered that removing a mere 1 often lead to the f...
research
∙
03/18/2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Masked image modeling (MIM) with transformer backbones has recently been...
research
∙
03/16/2023
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
Animating virtual avatars to make co-speech gestures facilitates various...
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
∙
12/29/2022
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
We propose a novel teacher-student model for semi-supervised multi-organ...
research
∙
11/09/2022
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening
Contemporary methods have shown promising results on cardiac image segme...
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
∙
09/09/2022
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation
Co-occurrent visual pattern makes context aggregation become an essentia...
research
∙
09/04/2022
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
Preoperative and noninvasive prediction of the meningioma grade is impor...
research
∙
08/31/2022
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Multi-modal MR imaging is routinely used in clinical practice to diagnos...
research
∙
07/16/2022
You Should Look at All Objects
Feature pyramid network (FPN) is one of the key components for object de...
research
∙
05/10/2022
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training
Deep neural networks have achieved remarkable success in a wide variety ...
research
∙
04/08/2022
CD^2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning
Federated learning (FL) is a distributed learning paradigm that enables ...
research
∙
02/09/2022
Learning to Bootstrap for Combating Label Noise
Deep neural networks are powerful tools for representation learning, but...
research
∙
09/28/2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Semi-supervised learning has substantially advanced medical image segmen...
research
∙
09/28/2021
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning
The presence of metallic implants often introduces severe metal artifact...
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
∙
09/07/2021
nnFormer: Interleaved Transformer for Volumetric Segmentation
Transformers, the default model of choices in natural language processin...
research
∙
03/29/2021
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation
Batch Normalization (BN) is one of the key components for accelerating n...
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
∙
09/16/2020
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
Computed tomography (CT) has been widely used for medical diagnosis, ass...
research
∙
07/21/2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
The automatic diagnosis of various retinal diseases from fundus images i...
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
∙
07/04/2020
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
To better understand early brain growth patterns in health and disorder,...
research
∙
06/28/2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Although having achieved great success in medical image segmentation, de...
research
∙
06/06/2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep learning approaches have demonstrated remarkable progress in automa...
research
∙
05/15/2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Training deep neural networks usually requires a large amount of labeled...
research
∙
02/09/2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Automated prostate segmentation in MRI is highly demanded for computer-a...
research
∙
11/04/2019
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...
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
∙
07/06/2019
Revisiting Metric Learning for Few-Shot Image Classification
The goal of few-shot learning is to recognize new visual concepts with j...
research
∙
06/30/2019
Difficulty-aware Meta-Learning for Rare Disease Diagnosis
Rare diseases have extremely low-data regimes, unlike common diseases wi...
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
∙
05/05/2019
Unsupervised Detection of Distinctive Regions on 3D Shapes
This paper presents a novel approach to learn and detect distinctive reg...
research
∙
02/28/2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Deep convolutional neural networks have achieved remarkable progress on ...
research
∙
02/20/2019
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Glaucoma is a leading cause of irreversible blindness. Accurate segmenta...
research
∙
11/29/2018
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
We propose a novel framework, uncertainty-aware multi-view co-training (...
research
∙
08/12/2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Automatic skin lesion segmentation on dermoscopic images is an essential...
research
∙
07/16/2018