Suivre
Min Xian (鲜敏)
Min Xian (鲜敏)
Department of Computer Science, University of Idaho
Adresse e-mail validée de uidaho.edu - Page d'accueil
Titre
Citée par
Citée par
Année
Automatic Breast Ultrasound Image Segmentation: A Survey
M Xian, Y Zhang, HD Cheng, F Xu, B Zhang, J Ding
Pattern Recognition 79, 340-355, 2018
2552018
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Y Liao, A Vakanski, M Xian
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020
2272020
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
A Vakanski, M Xian, P Freer
Ultrasound in Medicine & Biology, 2020
1822020
Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains
M Xian, Y Zhang, HD Cheng
Pattern Recognition 48 (2), 485-497, 2015
1622015
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Y Zhang, M Xian, HD Cheng, B Shareef, J Ding, F Xu, K Huang, B Zhang, ...
Healthcare 10 (4), 729, 2022
128*2022
A review of computational approaches for evaluation of rehabilitation exercises
Y Liao, A Vakanski, M Xian, D Paul, R Baker
Computers in biology and medicine 119, 103687, 2020
1182020
STAN: Small tumor-aware network for breast ultrasound image segmentation
B Shareef, M Xian, A Vakanski
2020 IEEE 17th International Symposium on Biomedical Imaging, 2020
1062020
SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling
H Guan, Y Zhang, M Xian, HD Cheng, X Tang
Applied Intelligence 51, 1394-1409, 2021
1012021
Cmu-net: a strong convmixer-based medical ultrasound image segmentation network
F Tang, L Wang, C Ning, M Xian, J Ding
2023 IEEE 20th international symposium on biomedical imaging (ISBI), 1-5, 2023
812023
Imputation of single-cell gene expression with an autoencoder neural network
MB Badsha, R Li, B Liu, YI Li, M Xian, NE Banovich, A Fu
Quantitative Biology 8 (1), 78-94, 2020
682020
Loosecut: Interactive image segmentation with loosely bounded boxes
H Yu, Y Zhou, H Qian, M Xian, S Wang
2017 IEEE International Conference on Image Processing (ICIP), 3335-3339, 2017
612017
ESTAN: Enhanced small tumor-aware network for breast ultrasound image segmentation
B Shareef, A Vakanski, PE Freer, M Xian
Healthcare 10 (11), 2262, 2022
602022
A saliency model for automated tumor detection in breast ultrasound images
H Shao, Y Zhang, M Xian, HD Cheng, F Xu, J Ding
2015 IEEE International Conference on Image Processing (ICIP), 1424-1428, 2015
492015
Bending loss regularized network for nuclei segmentation in histopathology images
H Wang, M Xian, A Vakanski
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-5, 2020
402020
Neutro-connectedness cut
M Xian, Y Zhang, HD Cheng, F Xu, J Ding
IEEE Transactions on Image Processing 25 (10), 4691-4703, 2016
382016
Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images
M Xian, J Huang, Y Zhang, X Tang
2012 19th IEEE International Conference on Image Processing, 2021-2024, 2012
342012
A fully automatic breast ultrasound image segmentation approach based on neutro-connectedness
M Xian, HD Cheng, Y Zhang
2014 22nd International Conference on Pattern Recognition, 2495-2500, 2014
322014
Workload-aware task placement in edge-assisted human re-identification
A Acharya, Y Hou, Y Mao, M Xian, J Yuan
2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019
292019
Local-weighted Citation-kNN algorithm for breast ultrasound image classification
J Ding, HD Cheng, M Xian, Y Zhang, F Xu
Optik 126 (24), 5188-5193, 2015
262015
TA-Net: Topology-Aware Network for Gland Segmentation
H Wang, M Xian, A Vakanski
IEEE WACV, 2022
252022
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