Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images. - Min Xian; Jianhua Huang; Yingtao Zhang; Xianglong Tang (ICIP, 2012)

Unsupervised co-segmentation based on a new global GMM constraint in MRF. - Hongkai Yu; Min Xian; Xiaojun Qi 001 (ICIP, 2014)

A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness. - Min Xian; Heng-Da Cheng; Yingtao Zhang (ICPR, 2014)

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 (ICIP, 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 (ICIP, 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)

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes. - Hongkai Yu; Youjie Zhou; Hui Qian 001; Min Xian; Yuewei Lin; Dazhou Guo; Kang Zheng; Kareem Abdelfatah; Song Wang 002 (CoRR, 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)

WENN for individualized cleaning in imbalanced data. - Hongjiao Guan; Yingtao Zhang; Min Xian; Heng-Da Cheng; Xianglong Tang (ICPR, 2016)

EISeg: Effective interactive segmentation. - Min Xian; Fei Xu; Heng-Da Cheng; Yingtao Zhang; Jianrui Ding (ICPR, 2016)

Unsupervised saliency estimation based on robust hypotheses. - Fei Xu; Min Xian; Heng-Da Cheng; Jianrui Ding; Yingtao Zhang (WACV, 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)

Neutro-Connectedness Cut. - Min Xian; Yingtao Zhang; Heng-Da Cheng; Fei Xu; Jianrui Ding (IEEE Trans. Image Process., 2016)

Loosecut: Interactive image segmentation with loosely bounded boxes. - Hongkai Yu; Youjie Zhou; Hui Qian 001; Min Xian; Song Wang 002 (ICIP, 2017)

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 (ICPR, 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)

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)

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)

Automatic breast ultrasound image segmentation: A survey. - Min Xian; Yingtao Zhang; Heng-Da Cheng; Fei Xu; Boyu Zhang; Jianrui Ding (Pattern Recognit., 2018)

Workload-Aware Task Placement in Edge-Assisted Human Re-identification. - Anil Acharya; Yantian Hou; Ying Mao 001; Min Xian; Jiawei Yuan (SECON, 2019)

A Deep Learning Framework for Assessing Physical Rehabilitation Exercises. - Yalin Liao; Aleksandar Vakanski; Min Xian (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)

Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images. - Aleksandar Vakanski; Min Xian; Phoebe Freer (CoRR, 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)

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)

Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. - Bryar Shareef; Min Xian; Aleksandar Vakanski (ISBI, 2020)

Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. - Haotian Wang 005; Min Xian; Aleksandar Vakanski (ISBI, 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)

ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. - Bryar Shareef; Aleksandar Vakanski; Min Xian; Phoebe E. Freer (CoRR, 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)

Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. - Aleksandar Vakanski; Min Xian (MLSP, 2021)

Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. - Boyu Zhang 004; Aleksandar Vakanski; Min Xian (MLSP, 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)

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)

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 005; Heng-Da Cheng (Medical Image Anal., 2021)

Application and Evaluation of a Deep Learning Architecture to Urban Tree Canopy Mapping. - Zhe Wang; Chao Fan; Min Xian (Remote. Sens., 2021)

Development of Computer Vision Virtual Experiment Based on Virtual Simulation Technology. - Xiang Zheng; Min Xian; Jian Yang (ICATCI (1), 2022)

Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. - Sujata Butte; Haotian Wang 005; Min Xian; Aleksandar Vakanski (ISBI, 2022)

EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer. - Jiaqiao Shi; Aleksandar Vakanski; Min Xian; Jianrui Ding; Chunping Ning (ISBI, 2022)

MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. - Shoukun Sun; Min Xian; Aleksandar Vakanski; Hossny Ghanem (MICCAI (4), 2022)

TA-Net: Topology-Aware Network for Gland Segmentation. - Haotian Wang 005; Min Xian; Aleksandar Vakanski (WACV, 2022)

SepNet: A neural network for directionally correlated data. - Fuchang Gao; Yiqing Ma; Boyu Zhang 004; Min Xian (Neural Networks, 2022)

Enhanced Sharp-Gan for Histopathology Image Synthesis. - Sujata Butte; Haotian Wang 005; Aleksandar Vakanski; Min Xian (ISBI, 2023)

CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network. - Fenghe Tang; Lingtao Wang; Chunping Ning; Min Xian; Jianrui Ding (ISBI, 2023)

SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. - Haotian Wang 005; Min Xian; Aleksandar Vakanski; Bryar Shareef (ISBI, 2023)

Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. - Bryar Shareef; Min Xian; Aleksandar Vakanski; Haotian Wang 005 (MICCAI (4), 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 004 (MLSP, 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 004; Aleksandar Vakanski; Min Xian (IEEE Access, 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)

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)

Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks. - Longze Li; Jiang Chang; Aleksandar Vakanski; Min Xian (CoRR, 2023)

CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation. - Shoukun Sun; Min Xian; Fei Xu; Luca Capriotti; Tiankai Yao (AAAI, 2024)

A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. - Kyle Lucke; Aleksandar Vakanski; Min Xian (ISBI, 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)

Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis? - Mohamed Hassan; Aleksandar Vakanski; Min Xian (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)

Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. - Haotian Wang 005; Aleksandar Vakanski; Changfa Shi; Min Xian (Inf., 2024)

Semantic-Aware Adaptive Binary Search for Hard-Label Black-Box Attack. - Yiqing Ma; Kyle Lucke; Min Xian; Aleksandar Vakanski (Comput., 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 (AAAI, 2025)

Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model. - Lawhori Chakrabarti; Boyu Zhang 004; Hengyi Tian; Aleksandar Vakanski; Min Xian (IEEE Access, 2025)

Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? - Mohamed Hassan; Aleksandar Vakanski; Boyu Zhang 004; Min Xian (IEEE Access, 2025)

Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification. - Kyle Lucke; Aleksandar Vakanski; Min Xian (Comput., 2025)

GCSAM: Gradient Centralized Sharpness Aware Minimization. - Mohamed Hassan; Aleksandar Vakanski; Boyu Zhang 004; Min Xian (CoRR, 2025)

Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning. - Jiang Chang; Deekshith Basvoju; Aleksandar Vakanski; Indrajit Charit; Min Xian (CoRR, 2025)