Sharon Xiaolei Huang

Associate Professor

Sharon Xiaolei Huang

Publication Tags

Neural Networks Image Resolution Convolutional Neural Networks Image Segmentation Learning Neoplasms Network Architecture Datasets Image Retrieval Deep Learning Labels Segmentation Screening Machine Learning Computer Vision Object Detection Color Image Quality Air X Rays Pixels Zebrafish Image Classification Fluids Experiments

Most Recent Papers

Zebrafish Histotomography Noise Removal in Projection and Reconstruction Domains

Amogh Subbakrishna Adishesha, Daniel Vanselow, Patrick La Riviere, Sharon Xiaolei Huang, Keith Cheng, on p. 140-144

Zebrafish histotomography noise removal in projection and reconstruction domains

Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick La Riviere, Xiaolei Huang, Keith Cheng, 2021, on p. 140-144

LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

Yanglan Ou, Ye Yuan, Sharon Xiaolei Huang, Kelvin Wong, John Volpi, James Wang, Stephen Wong, 2021, on p. 731-741

Epsilon Consistent Mixup: Structural Regularization with an Adaptive Consistency‐Interpolation Tradeoff

V. Pisztora, Y. Ou, Sharon Xiaolei Huang, F. Chiaromonte, J. Li, 2021, Stat on p. Article No. e425

Selective synthetic augmentation with HistoGAN for improved histopathology image classification

Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang, 2021, Medical Image Analysis

A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Jiarong Ye, Yuan Xue, Keith Cheng, Richard Zaino, Peter Liu, Sharon Xiaolei Huang, 2021, on p. 613-623

Label-free detection of rare circulating tumor cells by image analysis and machine learning

Shen Wang, Yuyuan Zhou, Xiaochen Qin, Suresh Nair, Xiaolei Huang, Yaling Liu, 2020, Scientific Reports

Evaluation of image segmentation techniques for image-based rock property estimation

Prakash Purswani, Zuleima T. Karpyn, Khaled Enab, Yuan Xue, Xiaolei Huang, 2020, Journal of Petroleum Science and Engineering

Lane Detection

Dun Liang, Yuan Chen Guo, Shao Kui Zhang, Tai Jiang Mu, Xiaolei Huang, 2020, Journal of Computer Science and Technology on p. 493-505

Semi-Supervised Cervical Dysplasia Classification with Learnable Graph Convolutional Network

Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang, 2020, on p. 1720-1724

Most-Cited Papers

Global contrast based salient region detection

Ming Ming Cheng, Guo Xin Zhang, Niloy J. Mitra, Xiaolei Huang, Shi Min Hu, 2011, on p. 409-416

Global contrast based salient region detection

Ming Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Philip H.S. Torr, Shi Min Hu, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence on p. 569-582

StackGAN

Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas, 2017, on p. 5908-5916

AttnGAN

Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He, 2018, on p. 1316-1324

Traffic-Sign Detection and Classification in the Wild

Zhe Zhu, Dun Liang, Songhai Zhang, Xiaolei Huang, Baoli Li, Shimin Hu, 2016, on p. 2110-2118

StackGAN++

Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence on p. 1947-1962

SalientShape: Group saliency in image collections

Ming Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Shi Min Hu, 2014, Visual Computer on p. 443-453

SegAN: Adversarial network with multi-scale L <sub>1</sub> loss for medical image segmentation

Yuan Xue, Tao Xu, Han Zhang, L. Rodney Long, Xiaolei Huang, 2018, Neuroinformatics on p. 383-392

SPDA-CNN: Unifying semantic part detection and abstraction for fine-grained recognition

Han Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed Elgammal, Dimitris Metaxas, 2016, on p. 1143-1152

Multimodal deep learning for cervical dysplasia diagnosis

Tao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas, 2016, on p. 115-123