Xiangde Luo

Orcid: 0000-0001-8574-0005

According to our database1, Xiangde Luo authored at least 36 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Diversified and Personalized Multi-rater Medical Image Segmentation.
CoRR, 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

Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals.
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


  Loading...