Yizhe Zhang

According to our database, Yizhe Zhang authored at least 55 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TestFit: A plug-and-play one-pass test time method for medical image segmentation.

Yizhe Zhang, Tao Zhou, Yuhui Tao, Shuo Wang, Ye Wu, Benyuan Liu, Pengfei Gu, Qiang Chen, Danny Z. Chen

Medical Image Anal., February, 2024

2023

Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation.

Hengyi Yang, Tao Zhou, Yi Zhou, Yizhe Zhang, Huazhu Fu

IEEE J. Biomed. Health Informatics, July, 2023

LAGAN: Lesion-Aware Generative Adversarial Networks for Edema Area Segmentation in SD-OCT Images.

Yuhui Tao, Xiao Ma, Yizhe Zhang, Kun Huang, Zexuan Ji, Wen Fan, Songtao Yuan, Qiang Chen

IEEE J. Biomed. Health Informatics, May, 2023

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model.

Yizhe Zhang, Shuo Wang, Tao Zhou, Qi Dou, Danny Z. Chen

CoRR, 2023

Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation.

Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu

CoRR, 2023

A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends.

Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu

CoRR, 2023

Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models.

Shuo Wang, Yan Zhu, Xiaoyuan Luo, Zhiwei Yang, Yizhe Zhang, Peiyao Fu, Manning Wang, Zhijian Song, Quanlin Li, Pinghong Zhou, Yike Guo

CoRR, 2023

Edge-aware Feature Aggregation Network for Polyp Segmentation.

Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan

CoRR, 2023

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.

Yizhe Zhang, Tao Zhou, Shuo Wang, Ye Wu, Pengfei Gu, Danny Z. Chen

CoRR, 2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.

Yizhe Zhang, Tao Zhou, Peixian Liang, Danny Z. Chen

CoRR, 2023

Can SAM Segment Polyps?

Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong

CoRR, 2023

GPT4MIA: Utilizing Geneative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis.

Yizhe Zhang, Danny Z. Chen

CoRR, 2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.

Yizhe Zhang, Tao Zhou, Shuo Wang, Peixian Liang, Yejia Zhang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification.

Yizhe Zhang, Shuo Wang, Yejia Zhang, Danny Z. Chen

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image Analysis.

Yizhe Zhang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation.

Yizhe Zhang, Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Data-Driven Deep Supervision for Medical Image Segmentation.

Suraj Mishra, Yizhe Zhang, Danny Z. Chen, X. Sharon Hu

IEEE Trans. Medical Imaging, 2022

H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation.

Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen

IEEE Trans. Medical Imaging, 2022

EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset).

Haoran Wang, Yan Zhu, Wenzheng Qin, Yizhe Zhang, Pinghong Zhou, Quanlin Li, Shuo Wang, Zhijian Song

CoRR, 2022

Perceptual Consistency in Video Segmentation.

Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation.

Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models.

Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Data-Driven Deep Supervision for Skin Lesion Classification.

Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device.

Hyojin Park, Alan Yessenbayev, Tushar Singhal, Navin Kumar Adhikari, Yizhe Zhang, Shubhankar Mangesh Borse, Hong Cai, Frank Mayer, Balaji Calidas, Nilesh Prasad Pandey, Fei Yin, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation.

Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation.

Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation.

Hong Cai, Janarbek Matai, Shubhankar Borse, Yizhe Zhang, Amin Ansari, Fatih Porikli

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation.

Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

AntVis: A web-based visual analytics tool for exploring ant movement data.

Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen

Vis. Informatics, 2020

A Cross-Domain Metal Trace Restoring Network for Reducing X-Ray CT Metal Artifacts.

Chengtao Peng, Bin Li, Peixian Liang, Jian Zheng, Yizhe Zhang, Bensheng Qiu, Danny Z. Chen

IEEE Trans. Medical Imaging, 2020

Structured Convolutions for Efficient Neural Network Design.

Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation.

Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, Hao Zheng, Siyuan Zhang, Danny Ziyi Chen

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking.

Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation.

Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training.

Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Second-order Non-local Attention Networks for Person Re-identification.

Bryan (Ning) Xia, Yuan Gong, Yizhe Zhang, Christian Poellabauer

CoRR, 2019

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation.

Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.

Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images.

Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation.

Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Second-Order Non-Local Attention Networks for Person Re-Identification.

Bryan Bryan, Yuan Gong, Yizhe Zhang, Christian Poellabauer

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.

Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Biomedical Image Segmentation via Representative Annotation.

Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning.

Ming Shao, Yizhe Zhang, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2018

BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.

Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen

CoRR, 2018

A new registration approach for dynamic analysis of calcium signals in organs.

Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images.

Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation.

Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

A seeding-searching-ensemble method for gland segmentation in H&E-stained images.

Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen

BMC Medical Informatics Decis. Mak., 2016

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation.

Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Ziyi Chen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut.

Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images.

Yizhe Zhang, Michael T. C. Ying, Lin Yang, Anil T. Ahuja, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning.

Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Segmenting subcellular structures in histology tissue images.

Jiazhuo Wang, John D. MacKenzie, Rageshree Ramachandran, Yizhe Zhang, Haitao Wang, Danny Ziyi Chen

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A seeding-searching-ensemble method for gland segmentation and detection.

Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015