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Yunzhe Xue
Yunzhe Xue
Ph.D student
Verified email at njit.edu
Title
Cited by
Cited by
Year
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Y Xue, FG Farhat, O Boukrina, AM Barrett, JR Binder, UW Roshan, ...
NeuroImage: Clinical 25, 102118, 2020
732020
Brain tumor classification with tumor segmentations and a dual path residual convolutional neural network from MRI and pathology images
Y Xue, Y Yang, FG Farhat, FY Shih, O Boukrina, AM Barrett, JR Binder, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
242020
Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks
M Xie, Y Li, Y Xue, R Shafritz, SA Rahimi, JW Ady, UW Roshan
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
222019
A multi-path decoder network for brain tumor segmentation
Y Xue, M Xie, FG Farhat, O Boukrina, AM Barrett, JR Binder, UW Roshan, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
182020
Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images
M Xie, Y Li, Y Xue, L Huntress, W Beckerman, SA Rahimi, JW Ady, ...
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
142020
Stochastic coordinate descent for 01 loss and its sensitivity to adversarial attacks
M Xie, Y Xue, U Roshan
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
142019
Vessel lumen segmentation in carotid artery ultrasounds with the U-Net convolutional neural network
M Xie, Y Li, Y Xue, L Huntress, W Beckerman, S Rahimi, J Ady, U Roshan
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
112020
Towards adversarial robustness with 01 loss neural networks
Y Xue, M Xie, U Roshan
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
112020
On the transferability of adversarial examples between convex and 01 loss models
Y Xue, M Xie, U Roshan
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
102020
Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks
Z Yang, Y Yang, Y Xue, FY Shih, J Ady, U Roshan
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
82020
A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images
Y Xue, M Xie, FG Farhat, O Boukrina, AM Barrett, JR Binder, UW Roshan, ...
arXiv preprint arXiv:1907.07807, 2019
72019
Image classification and retrieval with random depthwise signed convolutional neural networks
Y Xue, U Roshan
Advances in Computational Intelligence: 15th International Work-Conference …, 2019
22019
A cascaded neural network system for rating student performance in surgical knot tying simulation
Y Xue, O Eletta, JW Ady, NM Patel, A Bongu, U Roshan
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), 58-64, 2023
12023
Accuracy of white box and black box adversarial attacks on a sign activation 01 loss neural network ensemble
Y Xue, U Roshan
12023
Defending against substitute model black box adversarial attacks with the 01 loss
Y Xue, M Xie, U Roshan
arXiv preprint arXiv:2009.09803, 2020
12020
Robust binary classification with the 01 loss
Y Xue, M Xie, U Roshan
arXiv preprint arXiv:2002.03444, 2020
12020
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble
Y Xue, U Roshan
arXiv preprint arXiv:2402.07347, 2024
2024
An AI system for evaluating pass fail in fundamentals of laparoscopic surgery from live video in realtime with performative feedback
Y Xue, A Hu, R Muralidhar, JW Ady, A Bongu, U Roshan
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
2023
Gradient Free Sign Activation Zero One Loss Neural Networks for Adversarially Robust Classification
Y Xue
New Jersey Institute of Technology, 2021
2021
Challenges in predicting glioma survival time in multi-modal deep networks
A Aljouie, Y Xue, M Xie, U Roshan
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
2020
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