Random depthwise signed convolutional neural networks. - Yunzhe Xue; Usman Roshan (CoRR, 2018)

Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks. - Meiyan Xie; Yunzhu Li; Yunzhe Xue; Randy Shafritz; Saum A. Rahimi; Justin W. Ady; Usman W. Roshan (BIBM, 2019)

A Multi-path Decoder Network for Brain Tumor Segmentation. - Yunzhe Xue; Meiyan Xie; Fadi G. Farhat; Olga Boukrina; A. M. Barrett; Jeffrey R. Binder; Usman W. Roshan; William W. Graves (BrainLes@MICCAI (2), 2019)

Brain Tumor Classification with Tumor Segmentations and a Dual Path Residual Convolutional Neural Network from MRI and Pathology Images. - Yunzhe Xue; Yanan Yang; Fadi G. Farhat; Frank Y. Shih; Olga Boukrina; A. M. Barrett; Jeffrey R. Binder; William W. Graves; Usman W. Roshan (BrainLes@MICCAI (2), 2019)

Stochastic Coordinate Descent for 01 Loss and Its Sensitivity to Adversarial Attacks. - Meiyan Xie; Yunzhe Xue; Usman Roshan (ICMLA, 2019)

Image Classification and Retrieval with Random Depthwise Signed Convolutional Neural Networks. - Yunzhe Xue; Usman Roshan (IWANN (1), 2019)

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images. - Yunzhe Xue; Fadi G. Farhat; Olga Boukrina; A. M. Barrett; Jeffrey R. Binder; Usman W. Roshan; William W. Graves (CoRR, 2019)

A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images. - Yunzhe Xue; Meiyan Xie; Fadi G. Farhat; Olga Boukrina; A. M. Barrett; Jeffrey R. Binder; Usman W. Roshan; William W. Graves (CoRR, 2019)

Challenges in predicting glioma survival time in multi-modal deep networks. - Abdulrhman Aljouie; Yunzhe Xue; Meiyan Xie; Usman Roshan (BIBM, 2020)

Vessel lumen segmentation in carotid artery ultrasounds with the U-Net convolutional neural network. - Meiyan Xie; Yunzhi Li; Yunzhe Xue; Lauren Huntress; William Beckerman; Saum A. Rahimi; Justin W. Ady; Usman Roshan (BIBM, 2020)

Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks. - Zhibo Yang; Yanan Yang; Yunzhe Xue; Frank Y. Shih; Justin W. Ady; Usman Roshan (BIBM, 2020)

Classification of Histopathology Images with Random Depthwise Convolutional Neural Networks. - Yanan Yang; Fadi G. Farhat; Yunzhe Xue; Frank Y. Shih; Usman Roshan (ICBRA, 2020)

Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images. - Meiyan Xie; Yunzhu Li; Yunzhe Xue; Lauren Huntress; William Beckerman; Saum A. Rahimi; Justin W. Ady; Usman W. Roshan (ICMLA, 2020)

Towards adversarial robustness with 01 loss neural networks. - Yunzhe Xue; Meiyan Xie; Usman Roshan (ICMLA, 2020)

On the transferability of adversarial examples between convex and 01 loss models. - Yunzhe Xue; Meiyan Xie; Usman Roshan (ICMLA, 2020)

Robust binary classification with the 01 loss. - Yunzhe Xue; Meiyan Xie; Usman Roshan (CoRR, 2020)

Defending against substitute model black box adversarial attacks with the 01 loss. - Yunzhe Xue; Meiyan Xie; Usman Roshan (CoRR, 2020)

An AI system for evaluating pass fail in fundamentals of laparoscopic surgery from live video in realtime with performative feedback. - Yunzhe Xue; Andrew Hu; Rohit Muralidhar; Justin W. Ady; Advaith Bongu; Usman Roshan (BIBM, 2023)

A Cascaded Neural Network System For Rating Student Performance In Surgical Knot Tying Simulation. - Yunzhe Xue; Olanrewaju Eletta; Justin W. Ady; Nell M. Patel; Advaith Bongu; Usman Roshan (ICHI, 2023)

Accuracy of white box and black box adversarial attacks on a sign activation 01 loss neural network ensemble. - Yunzhe Xue; Usman Roshan (Tiny Papers @ ICLR, 2023)

Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble. - Yunzhe Xue; Usman Roshan (CoRR, 2024)