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Journal Articles
- 2024
[j14]Yiqing Ma, Kyle Lucke, Min Xian
, Aleksandar Vakanski:
Semantic-Aware Adaptive Binary Search for Hard-Label Black-Box Attack. Comput. 13(8): 203 (2024)- [j13]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): 417 (2024) - 2023
- [j12]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: 79480-79494 (2023) - 2022
- [j11]Fuchang Gao, Yiqing Ma, Boyu Zhang, Min Xian:
SepNet: A neural network for directionally correlated data. Neural Networks 153: 215-223 (2022) - 2021
- [j10]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): 1394-1409 (2021) - [j9]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: 102152 (2021) - [j8]Zhe Wang, Chao Fan, Min Xian:
Application and Evaluation of a Deep Learning Architecture to Urban Tree Canopy Mapping. Remote. Sens. 13(9): 1749 (2021) - 2020
- [j7]Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker:
A review of computational approaches for evaluation of rehabilitation exercises. Comput. Biol. Medicine 119: 103687 (2020) - [j6]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): 78-94 (2020) - 2019
- [j5]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: 125-134 (2019) - 2018
- [j4]Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Boyu Zhang, Jianrui Ding:
Automatic breast ultrasound image segmentation: A survey. Pattern Recognit. 79: 340-355 (2018) - 2016
- [j3]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): 013014 (2016) - [j2]Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Jianrui Ding:
Neutro-Connectedness Cut. IEEE Trans. Image Process. 25(10): 4691-4703 (2016) - 2015
- [j1]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): 485-497 (2015)
Conference and Workshop Papers
- 2024
- [c26]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: 5017-5024 - [c25]Kyle Lucke, Aleksandar Vakanski, Min Xian:
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. ISBI 2024: 1-5 - 2023
- [c24]Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian:
Enhanced Sharp-Gan for Histopathology Image Synthesis. ISBI 2023: 1-5 - [c23]Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding:
CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network. ISBI 2023: 1-5 - [c22]Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef:
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. ISBI 2023: 1-5 - [c21]Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang:
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. MICCAI (4) 2023: 344-353 - [c20]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: 1-6 - 2022
- [c19]Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski:
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. ISBI 2022: 1-5 - [c18]Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning:
EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer. ISBI 2022: 1-5 - [c17]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: 401-410 - [c16]Haotian Wang, Min Xian, Aleksandar Vakanski:
TA-Net: Topology-Aware Network for Gland Segmentation. WACV 2022: 3241-3249 - 2021
- [c15]Aleksandar Vakanski, Min Xian:
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. MLSP 2021: 1-6 - [c14]Boyu Zhang, Aleksandar Vakanski, Min Xian:
Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. MLSP 2021: 1-6 - 2020
- [c13]Bryar Shareef, Min Xian, Aleksandar Vakanski:
Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. ISBI 2020: 1-5 - [c12]Haotian Wang, Min Xian, Aleksandar Vakanski:
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. ISBI 2020: 1-5 - 2019
- [c11]Anil Acharya, Yantian Hou, Ying Mao, Min Xian, Jiawei Yuan:
Workload-Aware Task Placement in Edge-Assisted Human Re-identification. SECON 2019: 1-9 - 2018
- [c10]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: 3935-3940 - 2017
- [c9]Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Song Wang:
Loosecut: Interactive image segmentation with loosely bounded boxes. ICIP 2017: 3335-3339 - 2016
- [c8]Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang:
WENN for individualized cleaning in imbalanced data. ICPR 2016: 456-461 - [c7]Min Xian, Fei Xu, Heng-Da Cheng, Yingtao Zhang, Jianrui Ding:
EISeg: Effective interactive segmentation. ICPR 2016: 1982-1987 - [c6]Fei Xu, Min Xian, Heng-Da Cheng, Jianrui Ding, Yingtao Zhang:
Unsupervised saliency estimation based on robust hypotheses. WACV 2016: 1-6 - 2015
- [c5]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: 1424-1428 - [c4]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: 4224-4227 - 2014
- [c3]Hongkai Yu, Min Xian, Xiaojun Qi:
Unsupervised co-segmentation based on a new global GMM constraint in MRF. ICIP 2014: 4412-4416 - [c2]Min Xian, Heng-Da Cheng, Yingtao Zhang:
A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness. ICPR 2014: 2495-2500 - 2012
- [c1]Min Xian, Jianhua Huang, Yingtao Zhang, Xianglong Tang:
Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images. ICIP 2012: 2021-2024
Informal and Other Publications
- 2024
- [i37]Kyle Lucke, Aleksandar Vakanski, Min Xian:
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. CoRR abs/2403.15560 (2024) - [i36]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 abs/2404.05656 (2024) - [i35]Mohamed Hassan, Aleksandar Vakanski, Min Xian:
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis? CoRR abs/2408.04065 (2024) - 2023
- [i34]Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian:
Enhanced Sharp-GAN For Histopathology Image Synthesis. CoRR abs/2301.10187 (2023) - [i33]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 abs/2302.12833 (2023) - [i32]Shoukun Sun, Min Xian, Fei Xu, Tiankai Yao, Luca Capriotti:
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation. CoRR abs/2303.05620 (2023) - [i31]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 abs/2305.09447 (2023) - [i30]Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang:
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. CoRR abs/2308.02101 (2023) - [i29]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 abs/2308.14213 (2023) - [i28]Longze Li, Jiang Chang, Aleksandar Vakanski, Min Xian:
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks. CoRR abs/2311.02495 (2023) - 2022
- [i27]Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning:
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer. CoRR abs/2201.04795 (2022) - [i26]Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem:
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. CoRR abs/2205.01674 (2022) - [i25]Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef:
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. CoRR abs/2209.02412 (2022) - [i24]Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding:
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network. CoRR abs/2210.13012 (2022) - 2021
- [i23]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 abs/2102.12056 (2021) - [i22]Aleksandar Vakanski, Min Xian:
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. CoRR abs/2103.03328 (2021) - [i21]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 abs/2104.05786 (2021) - [i20]Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian:
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. CoRR abs/2109.15283 (2021) - [i19]Boyu Zhang, Aleksandar Vakanski, Min Xian:
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. CoRR abs/2110.04069 (2021) - [i18]Haotian Wang, Min Xian, Aleksandar Vakanski:
TA-Net: Topology-Aware Network for Gland Segmentation. CoRR abs/2110.14593 (2021) - [i17]Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski:
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. CoRR abs/2110.14709 (2021) - 2020
- [i16]Haotian Wang, Min Xian, Aleksandar Vakanski:
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. CoRR abs/2002.01020 (2020) - [i15]Bryar Shareef, Min Xian, Aleksandar Vakanski:
Stan: Small tumor-aware network for breast ultrasound image segmentation. CoRR abs/2002.01034 (2020) - [i14]Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker:
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises. CoRR abs/2003.08767 (2020) - [i13]Bryar Shareef, Aleksandar Vakanski, Min Xian, Phoebe E. Freer:
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. CoRR abs/2009.12894 (2020) - 2019
- [i12]Yalin Liao, Aleksandar Vakanski, Min Xian:
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises. CoRR abs/1901.10435 (2019) - [i11]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 abs/1906.07760 (2019) - [i10]Aleksandar Vakanski, Min Xian, Phoebe Freer:
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images. CoRR abs/1910.08978 (2019) - [i9]Fei Xu, Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang:
Breast Anatomy Enriched Tumor Saliency Estimation. CoRR abs/1910.10652 (2019) - 2018
- [i8]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 abs/1801.03182 (2018) - [i7]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 abs/1802.04894 (2018) - [i6]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 abs/1806.10283 (2018) - [i5]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 abs/1806.10696 (2018) - 2017
- [i4]Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Boyu Zhang, Jianrui Ding:
Automatic Breast Ultrasound Image Segmentation: A Survey. CoRR abs/1704.01472 (2017) - 2015
- [i3]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 abs/1507.03060 (2015) - [i2]Jianrui Ding, Min Xian, Heng-Da Cheng, Yang Li, Fei Xu, Yingtao Zhang:
An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography. CoRR abs/1508.05995 (2015) - [i1]Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Jianrui Ding:
Neutro-Connectedness Cut. CoRR abs/1512.06285 (2015)
Coauthor Index
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