Xiangde Luo

Orcid: 0000-0001-8574-0005

According to our database1, Xiangde Luo authored at least 49 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation Across Multiple Hospitals.
IEEE Trans. Medical Imaging, December, 2024

Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency.
Pattern Recognit., 2024

DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation.
Medical Image Anal., 2024

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers.
Medical Image Anal., 2024

Cycle-Consistent Bridge Diffusion Model for Accelerated MRI Reconstruction.
CoRR, 2024

Cross Group Attention and Group-wise Rolling for Multimodal Medical Image Synthesis.
CoRR, 2024

Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning.
CoRR, 2024

Dataset, Challenge, and Evaluation for Tumor Segmentation Variability.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-center Dataset.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Rethinking Abdominal Organ Segmentation (RAOS) in the Clinical Scenario: A Robustness Evaluation Benchmark with Challenging Cases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

An Uncertainty-Guided Tiered Self-training Framework for Active Source-Free Domain Adaptation in Prostate Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Sam-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Diversified and Personalized Multi-Rater Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Toward Source-Free Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning.
IEEE Trans. Medical Imaging, September, 2023

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.
Medical Image Anal., August, 2023

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
Comput. Methods Programs Biomed., April, 2023

PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation.
IEEE Trans. Medical Imaging, 2023

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers.
CoRR, 2023

Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification.
CoRR, 2023

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset.
CoRR, 2023

ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Advancing Delineation of Gross Tumor Volume Based on Magnetic Resonance Imaging by Performing Source-Free Domain Adaptation in Nasopharyngeal Carcinoma.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training.
IEEE J. Biomed. Health Informatics, 2022

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.
Medical Image Anal., 2022

SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching.
Medical Image Anal., 2022

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
Medical Image Anal., 2022

Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping.
CoRR, 2022

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Efficient Semi-supervised Multi-organ Segmentation Using Uncertainty Rectified Pyramid Consistency.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

2021
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.
Medical Image Anal., 2021

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region.
CoRR, 2021

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
CoRR, 2021

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Few-Shot Domain Adaptation with Polymorphic Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Fully Test-Time Adaptation for Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Elastica For Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Medical Image Segmentation using Squeeze-and-Expansion Transformers.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Semi-supervised Medical Image Segmentation through Dual-task Consistency.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma.
CoRR, 2020

Learning Euler's Elastica Model for Medical Image Segmentation.
CoRR, 2020

Semi-supervised Medical Image Segmentation through Dual-task Consistency.
CoRR, 2020

CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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