Picture for Yong Xia

Yong Xia

Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation

May 14, 2024
Figure 1 for Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation
Figure 2 for Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation
Figure 3 for Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation
Figure 4 for Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation
Viaarxiv icon

PairAug: What Can Augmented Image-Text Pairs Do for Radiology?

Add code
Apr 07, 2024
Viaarxiv icon

Learning with Diversification from Block Sparse Signal

Add code
Feb 07, 2024
Viaarxiv icon

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer

Add code
Jan 23, 2024
Viaarxiv icon

Part to Whole: Collaborative Prompting for Surgical Instrument Segmentation

Add code
Dec 22, 2023
Viaarxiv icon

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma

Add code
Dec 15, 2023
Figure 1 for SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Figure 2 for SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Figure 3 for SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Figure 4 for SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Viaarxiv icon

Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts

Add code
Dec 05, 2023
Figure 1 for Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Figure 2 for Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Figure 3 for Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Figure 4 for Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Viaarxiv icon

Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning

Add code
Nov 30, 2023
Viaarxiv icon

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation

Add code
Nov 30, 2023
Viaarxiv icon

SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings

Add code
Nov 28, 2023
Viaarxiv icon