Min Xian

According to our database, Min Xian authored at least 58 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Semantic-Aware Adaptive Binary Search for Hard-Label Black-Box Attack.

Yiqing Ma, Kyle Lucke, Min Xian, Aleksandar Vakanski

Comput., August, 2024

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

Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian

Inf., July, 2024

Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation.

Shoukun Sun, Min Xian, Tiankai Yao, Fei Xu, Luca Capriotti

CoRR, 2024

A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification for Probabilistic Risk Assessment.

Min Xian, Tao Wang, Sai Zhang, Fei Xu, Zhegang Ma

CoRR, 2024

Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?

Mohamed Hassan, Aleksandar Vakanski, Min Xian

CoRR, 2024

Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework.

Shahidur Rahoman Sohag, Sai Zhang, Min Xian, Shoukun Sun, Fei Xu, Zhegang Ma

CoRR, 2024

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

Kyle Lucke, Aleksandar Vakanski, Min Xian

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation.

Shoukun Sun, Min Xian, Fei Xu, Luca Capriotti, Tiankai Yao

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.

Longze Li, Jiang Chang, Aleksandar Vakanski, Min Xian

CoRR, 2023

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

Fenghe Tang, Jianrui Ding, Lingtao Wang, Min Xian, Chunping Ning

CoRR, 2023

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

Shoukun Sun, Fei Xu, Lu Cai, Daniele Salvato, Fidelma Dilemma, Luca Capriotti, Min Xian, Tiankai Yao

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.

Boyu Zhang, Aleksandar Vakanski, Min Xian

IEEE Access, 2023

Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation.

Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang

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.

Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang

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.

Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network.

Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Enhanced Sharp-Gan for Histopathology Image Synthesis.

Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

SepNet: A neural network for directionally correlated data.

Fuchang Gao, Yiqing Ma, Boyu Zhang, Min Xian

Neural Networks, 2022

TA-Net: Topology-Aware Network for Gland Segmentation.

Haotian Wang, Min Xian, Aleksandar Vakanski

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.

Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem

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.

Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis.

Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski

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.

Zhe Wang, Chao Fan, Min Xian

Remote. Sens., 2021

Multi-slice low-rank tensor decomposition based multi-atlas segmentation: Application to automatic pathological liver CT segmentation.

Changfa Shi, Min Xian, Xiancheng Zhou, Haotian Wang, Heng-Da Cheng

Medical Image Anal., 2021

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

Lu Cai, Fei Xu, Fidelma Dilemma, Daniel J. Murray, Cynthia A. Adkins, Larry K. Aagesen Jr., Min Xian, Luca Caprriot, Tiankai Yao

CoRR, 2021

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

Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang

Appl. Intell., 2021

Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images.

Boyu Zhang, Aleksandar Vakanski, Min Xian

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.

Aleksandar Vakanski, Min Xian

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.

Md. Bahadur Badsha, Rui Li, Boxiang Liu, Yang I. Li, Min Xian, Nicholas E. Banovich, Audrey Qiuyan Fu

Quant. Biol., 2020

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

Bryar Shareef, Aleksandar Vakanski, Min Xian, Phoebe E. Freer

CoRR, 2020

A review of computational approaches for evaluation of rehabilitation exercises.

Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker

Comput. Biol. Medicine, 2020

Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images.

Haotian Wang, Min Xian, Aleksandar Vakanski

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation.

Bryar Shareef, Min Xian, Aleksandar Vakanski

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

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

Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Min Xian, Xianglong Tang

Neurocomputing, 2019

Breast Anatomy Enriched Tumor Saliency Estimation.

Fei Xu, Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

CoRR, 2019

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

Aleksandar Vakanski, Min Xian, Phoebe Freer

CoRR, 2019

Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling.

Fei Xu, Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

CoRR, 2019

A Deep Learning Framework for Assessing Physical Rehabilitation Exercises.

Yalin Liao, Aleksandar Vakanski, Min Xian

CoRR, 2019

Workload-Aware Task Placement in Edge-Assisted Human Re-identification.

Anil Acharya, Yantian Hou, Ying Mao, Min Xian, Jiawei Yuan

Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

2018

Automatic breast ultrasound image segmentation: A survey.

Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Boyu Zhang, Jianrui Ding

Pattern Recognit., 2018

Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices.

Yusheng Luo, Min Xian, Manish Mohanpurkar, Bishnu P. Bhattarai, Anudeep Medam, Rahul Kadavil, Rob Hovsapian

CoRR, 2018

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

Boyu Zhang, Yingtao Zhang, Heng-Da Cheng, Min Xian, Shan Gai, Olivia Cheng, Kuan Huang

CoRR, 2018

A Benchmark for Breast Ultrasound Image Segmentation (BUSIS).

Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Kuan Huang, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

CoRR, 2018

A Hybrid Framework for Tumor Saliency Estimation.

Fei Xu, Min Xian, Yingtao Zhang, Kuan Huang, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Loosecut: Interactive image segmentation with loosely bounded boxes.

Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Song Wang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Neutro-Connectedness Cut.

Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Jianrui Ding

IEEE Trans. Image Process., 2016

Robust multiple cue fusion-based high-speed and nonrigid object tracking algorithm for short track speed skating.

Chenguang Liu, Heng-Da Cheng, Yingtao Zhang, Yuxuan Wang, Min Xian

J. Electronic Imaging, 2016

Unsupervised saliency estimation based on robust hypotheses.

Fei Xu, Min Xian, Heng-Da Cheng, Jianrui Ding, Yingtao Zhang

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

EISeg: Effective interactive segmentation.

Min Xian, Fei Xu, Heng-Da Cheng, Yingtao Zhang, Jianrui Ding

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

WENN for individualized cleaning in imbalanced data.

Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang

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.

Min Xian, Yingtao Zhang, Heng-Da Cheng

Pattern Recognit., 2015

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes.

Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Yuewei Lin, Dazhou Guo, Kang Zheng, Kareem Abdelfatah, Song Wang

CoRR, 2015

An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography.

Jianrui Ding, Min Xian, Heng-Da Cheng, Yang Li, Fei Xu, Yingtao Zhang

CoRR, 2015

A saliency model for automated tumor detection in breast ultrasound images.

Haoyang Shao, Yingtao Zhang, Min Xian, Heng-Da Cheng, Fei Xu, Jianrui Ding

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.

Jianrui Ding, Min Xian, Heng-Da Cheng, Yingtao Zhang, Fei Xu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness.

Min Xian, Heng-Da Cheng, Yingtao Zhang

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Unsupervised co-segmentation based on a new global GMM constraint in MRF.

Hongkai Yu, Min Xian, Xiaojun Qi

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.

Min Xian, Jianhua Huang, Yingtao Zhang, Xianglong Tang

Proceedings of the 19th IEEE International Conference on Image Processing, 2012