Minfeng Xu

Orcid: 0000-0002-0639-9361

According to our database1, Minfeng Xu authored at least 26 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans.
CoRR, 2024

2023
GBGVD: Growth-based geodesic Voronoi diagrams.
Graph. Model., October, 2023

Hybrid Optimization-based Cutting Simulation for Soft Objects.
Comput. Aided Des., October, 2023

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images.
CoRR, 2023

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation.
CoRR, 2023

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
CoRR, 2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Div-Attention: A Plug-and-Play Module for 3D Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Mutual consistency learning for semi-supervised medical image segmentation.
Medical Image Anal., 2022

Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding.
CoRR, 2022

A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation.
CoRR, 2022

2021
Fast exposure fusion of detail enhancement for brightest and darkest regions.
Vis. Comput., 2021

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.
CoRR, 2021

Blind motion deblurring via L0 sparse representation.
Comput. Graph., 2021

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Weakly Supervised Organ Localization with Attention Maps Regularized by Local Area Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Training Liver Vessel Segmentation Deep Neural Networks on Noisy Labels from Contrast CT Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
An Efficient Surface Remeshing Algorithm Based on Centroidal Power Diagram.
Proceedings of the ICIT 2019, 2019

2018
A Simulation-Based Approach of QoS-Aware Service Selection in Mobile Edge Computing.
Wirel. Commun. Mob. Comput., 2018

Towards globally optimal normal orientations for thin surfaces.
Comput. Graph., 2018

2016
Building binary orientation octree for an arbitrary scattered point set.
Graph. Model., 2016


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