Min Xian

Orcid: 0000-0001-6098-4441

According to our database1, Min Xian authored at least 53 papers between 2012 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation.
CoRR, 2024

CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks.
CoRR, 2023

Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model.
CoRR, 2023

An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel.
CoRR, 2023

BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations.
IEEE Access, 2023

Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Enhanced Sharp-Gan for Histopathology Image Synthesis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
SepNet: A neural network for directionally correlated data.
Neural Networks, 2022

TA-Net: Topology-Aware Network for Gland Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Application and Evaluation of a Deep Learning Architecture to Urban Tree Canopy Mapping.
Remote. Sens., 2021

Multi-slice low-rank tensor decomposition based multi-atlas segmentation: Application to automatic pathological liver CT segmentation.
Medical Image Anal., 2021

Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images.
CoRR, 2021

Understanding Fission Gas Bubble Distribution, Lanthanide Transportation, and Thermal Conductivity Degradation in Neutron-irradiated α-U Using Machine Learning.
CoRR, 2021

SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling.
Appl. Intell., 2021

Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020
Imputation of single-cell gene expression with an autoencoder neural network.
Quant. Biol., 2020

ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation.
CoRR, 2020

A review of computational approaches for evaluation of rehabilitation exercises.
Comput. Biol. Medicine, 2020

Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification.
Neurocomputing, 2019

Breast Anatomy Enriched Tumor Saliency Estimation.
CoRR, 2019

Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images.
CoRR, 2019

Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling.
CoRR, 2019

A Deep Learning Framework for Assessing Physical Rehabilitation Exercises.
CoRR, 2019

Workload-Aware Task Placement in Edge-Assisted Human Re-identification.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

2018
Automatic breast ultrasound image segmentation: A survey.
Pattern Recognit., 2018

Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices.
CoRR, 2018

Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey.
CoRR, 2018

A Benchmark for Breast Ultrasound Image Segmentation (BUSIS).
CoRR, 2018

A Hybrid Framework for Tumor Saliency Estimation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Loosecut: Interactive image segmentation with loosely bounded boxes.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Neutro-Connectedness Cut.
IEEE Trans. Image Process., 2016

Robust multiple cue fusion-based high-speed and nonrigid object tracking algorithm for short track speed skating.
J. Electronic Imaging, 2016

Unsupervised saliency estimation based on robust hypotheses.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

EISeg: Effective interactive segmentation.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

WENN for individualized cleaning in imbalanced data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains.
Pattern Recognit., 2015

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes.
CoRR, 2015

An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography.
CoRR, 2015

A saliency model for automated tumor detection in breast ultrasound images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

An algorithm based on LBPV and MIL for left atrial thrombi detection using transesophageal echocardiography.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Unsupervised co-segmentation based on a new global GMM constraint in MRF.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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