Min Xian

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 65

Top Topics

Fully Automatic

Breast Ultrasound

Image Segmentation

Top Venues

Publications

Kyle Lucke, Aleksandar Vakanski, Min Xian
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. CoRR (2024)
Shahidur Rahoman Sohag, Sai Zhang, Min Xian, Shoukun Sun, Fei Xu, Zhegang Ma
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework. CoRR (2024)
Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. Inf. 15 (7) (2024)
Shoukun Sun, Min Xian, Fei Xu, Luca Capriotti, Tiankai Yao
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation. AAAI (2024)
Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation. CoRR (2023)
Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. MICCAI (4) (2023)
Shoukun Sun, Fei Xu, Lu Cai, Daniele Salvato, Fidelma Dilemma, Luca Capriotti, Min Xian, Tiankai Yao
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel. CoRR (2023)
Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation. MLSP (2023)
Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. CoRR (2023)
Boyu Zhang, Aleksandar Vakanski, Min Xian
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 11 (2023)
Longze Li, Jiang Chang, Aleksandar Vakanski, Min Xian
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks. CoRR (2023)
Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian
Enhanced Sharp-Gan for Histopathology Image Synthesis. ISBI (2023)
Shoukun Sun, Min Xian, Fei Xu, Tiankai Yao, Luca Capriotti
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation. CoRR (2023)
Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian
Enhanced Sharp-GAN For Histopathology Image Synthesis. CoRR (2023)
Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding
CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network. ISBI (2023)
Fenghe Tang, Jianrui Ding, Lingtao Wang, Min Xian, Chunping Ning
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model. CoRR (2023)
Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. ISBI (2023)
Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network. CoRR (2022)
Fuchang Gao, Yiqing Ma, Boyu Zhang, Min Xian
SepNet: A neural network for directionally correlated data. Neural Networks 153 (2022)
Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem
MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. MICCAI (4) (2022)
Haotian Wang, Min Xian, Aleksandar Vakanski
TA-Net: Topology-Aware Network for Gland Segmentation. WACV (2022)
Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. CoRR (2022)
Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer. CoRR (2022)
Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. ISBI (2022)
Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning
EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer. ISBI (2022)
Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. CoRR (2022)
Boyu Zhang, Aleksandar Vakanski, Min Xian
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. CoRR (2021)
Aleksandar Vakanski, Min Xian
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. MLSP (2021)
Boyu Zhang, Aleksandar Vakanski, Min Xian
Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. MLSP (2021)
Aleksandar Vakanski, Min Xian
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. CoRR (2021)
Changfa Shi, Min Xian, Xiancheng Zhou, Haotian Wang, Heng-Da Cheng
Multi-slice low-rank tensor decomposition based multi-atlas segmentation: Application to automatic pathological liver CT segmentation. Medical Image Anal. 73 (2021)
Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. CoRR (2021)
Lu Cai, Fei Xu, Fidelma Dilemma, Daniel J. Murray, Cynthia A. Adkins, Larry K. Aagesen Jr., Min Xian, Luca Caprriot, Tiankai Yao
Understanding Fission Gas Bubble Distribution, Lanthanide Transportation, and Thermal Conductivity Degradation in Neutron-irradiated α-U Using Machine Learning. CoRR (2021)
Zhe Wang, Chao Fan, Min Xian
Application and Evaluation of a Deep Learning Architecture to Urban Tree Canopy Mapping. Remote. Sens. 13 (9) (2021)
Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang
SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling. Appl. Intell. 51 (3) (2021)
Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. CoRR (2021)
Changfa Shi, Min Xian, Xiancheng Zhou, Haotian Wang, Heng-Da Cheng
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation. CoRR (2021)
Haotian Wang, Min Xian, Aleksandar Vakanski
TA-Net: Topology-Aware Network for Gland Segmentation. CoRR (2021)
Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker
A review of computational approaches for evaluation of rehabilitation exercises. Comput. Biol. Medicine 119 (2020)
Haotian Wang, Min Xian, Aleksandar Vakanski
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. CoRR (2020)
Md. Bahadur Badsha, Rui Li, Boxiang Liu, Yang I. Li, Min Xian, Nicholas E. Banovich, Audrey Qiuyan Fu
Imputation of single-cell gene expression with an autoencoder neural network. Quant. Biol. 8 (1) (2020)
Bryar Shareef, Min Xian, Aleksandar Vakanski
Stan: Small tumor-aware network for breast ultrasound image segmentation. CoRR (2020)
Bryar Shareef, Min Xian, Aleksandar Vakanski
Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. ISBI (2020)
Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises. CoRR (2020)
Haotian Wang, Min Xian, Aleksandar Vakanski
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. ISBI (2020)
Bryar Shareef, Aleksandar Vakanski, Min Xian, Phoebe E. Freer
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. CoRR (2020)
Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Min Xian, Xianglong Tang
BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification. Neurocomputing 357 (2019)
Yalin Liao, Aleksandar Vakanski, Min Xian
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises. CoRR (2019)
Fei Xu, Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
Breast Anatomy Enriched Tumor Saliency Estimation. CoRR (2019)
Anil Acharya, Yantian Hou, Ying Mao, Min Xian, Jiawei Yuan
Workload-Aware Task Placement in Edge-Assisted Human Re-identification. SECON (2019)
Aleksandar Vakanski, Min Xian, Phoebe Freer
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images. CoRR (2019)
Fei Xu, Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling. CoRR (2019)
Yusheng Luo, Min Xian, Manish Mohanpurkar, Bishnu P. Bhattarai, Anudeep Medam, Rahul Kadavil, Rob Hovsapian
Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices. CoRR (2018)
Boyu Zhang, Yingtao Zhang, Heng-Da Cheng, Min Xian, Shan Gai, Olivia Cheng, Kuan Huang
Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey. CoRR (2018)
Fei Xu, Min Xian, Yingtao Zhang, Kuan Huang, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
A Hybrid Framework for Tumor Saliency Estimation. ICPR (2018)
Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Kuan Huang, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
A Benchmark for Breast Ultrasound Image Segmentation (BUSIS). CoRR (2018)
Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Boyu Zhang, Jianrui Ding
Automatic breast ultrasound image segmentation: A survey. Pattern Recognit. 79 (2018)
Fei Xu, Min Xian, Yingtao Zhang, Kuan Huang, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
A Hybrid Framework for Tumor Saliency Estimation. CoRR (2018)
Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Song Wang
Loosecut: Interactive image segmentation with loosely bounded boxes. ICIP (2017)
Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Boyu Zhang, Jianrui Ding
Automatic Breast Ultrasound Image Segmentation: A Survey. CoRR (2017)
Chenguang Liu, Heng-Da Cheng, Yingtao Zhang, Yuxuan Wang, Min Xian
Robust multiple cue fusion-based high-speed and nonrigid object tracking algorithm for short track speed skating. J. Electronic Imaging 25 (1) (2016)
Fei Xu, Min Xian, Heng-Da Cheng, Jianrui Ding, Yingtao Zhang
Unsupervised saliency estimation based on robust hypotheses. WACV (2016)
Min Xian, Fei Xu, Heng-Da Cheng, Yingtao Zhang, Jianrui Ding
EISeg: Effective interactive segmentation. ICPR (2016)
Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Jianrui Ding
Neutro-Connectedness Cut. IEEE Trans. Image Process. 25 (10) (2016)
Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang
WENN for individualized cleaning in imbalanced data. ICPR (2016)
Jianrui Ding, Min Xian, Heng-Da Cheng, Yang Li, Fei Xu, Yingtao Zhang
An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography. CoRR (2015)
Haoyang Shao, Yingtao Zhang, Min Xian, Heng-Da Cheng, Fei Xu, Jianrui Ding
A saliency model for automated tumor detection in breast ultrasound images. ICIP (2015)
Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Yuewei Lin, Dazhou Guo, Kang Zheng, Kareem Abdelfatah, Song Wang
LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes. CoRR (2015)
Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Jianrui Ding
Neutro-Connectedness Cut. CoRR (2015)
Min Xian, Yingtao Zhang, Heng-Da Cheng
Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains. Pattern Recognit. 48 (2) (2015)
Jianrui Ding, Min Xian, Heng-Da Cheng, Yingtao Zhang, Fei Xu
An algorithm based on LBPV and MIL for left atrial thrombi detection using transesophageal echocardiography. ICIP (2015)
Hongkai Yu, Min Xian, Xiaojun Qi
Unsupervised co-segmentation based on a new global GMM constraint in MRF. ICIP (2014)
Min Xian, Heng-Da Cheng, Yingtao Zhang
A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness. ICPR (2014)
Min Xian, Jianhua Huang, Yingtao Zhang, Xianglong Tang
Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images. ICIP (2012)