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ORCIDYizhe Zhang 0001
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- affiliation (former): University of Notre Dame, USA
Other persons with the same name
- Yizhe Zhang — disambiguation page
- Yizhe Zhang 0002 — Apple MLR, USA (and 2 more)
- Yizhe Zhang 0003
![[0000-0002-9599-7995]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9599-7995")
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China - Yizhe Zhang 0004 — RWTH Aachen University, Aachen, Germany
- Yizhe Zhang 0005 — Technical University of Munich (TUM), Germany
- Yizhe Zhang 0006 — University of Virginia, Charlottesville, Virginia, USA
- Yizhe Zhang 0007 — Xi'an University of Science and Technology, Xi'an, China
- Yizhe Zhang 0008 — Northwestern Polytechnical University, Xi'an, China
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2020 – today
- 2025
[j10]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. Pattern Recognit. 158: 110962 (2025)- 2024
- [j9]Yizhe Zhang, Tao Zhou, Yuhui Tao, Shuo Wang, Ye Wu, Benyuan Liu, Pengfei Gu, Qiang Chen, Danny Z. Chen:
TestFit: A plug-and-play one-pass test time method for medical image segmentation. Medical Image Anal. 92: 103069 (2024) - [c44]Pengfei Gu, Zihan Zhao, Hongxiao Wang, Yaopeng Peng, Yizhe Zhang, Nishchal Sapkota, Chaoli Wang, Danny Z. Chen:
Boosting Medical Image Classification with Segmentation Foundation Model. ISBI 2024: 1-5 - [c43]Ye Wu, Yue Ding, Xiaoming Liu, Jiaolong Qin, Yizhe Zhang, Yoonmi Hong, Tao Zhou:
SMNET: A Spherical Mean Network for Probing Tissue Microarchitecture from Single-Shell DMRI. ISBI 2024: 1-4 - [c42]Zinan Xiong, Shuijiao Chen, Yizhe Zhang, Yu Cao, Benyuan Liu, Xiaowei Liu:
Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos. ISBI 2024: 1-5 - [c41]Yizhe Zhang, Tao Zhou, Ye Wu, Shuo Wang, Danny Z. Chen:
Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images. ISBI 2024: 1-5 - [c40]Yizhe Zhang, Tao Zhou, Qiang Chen, Qi Dou, Shuo Wang:
Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation. UNSURE@MICCAI 2024: 92-102 - [c39]Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang:
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis. MICCAI (10) 2024: 251-262 - [c38]Qing Li, Yizhe Zhang, Yan Li, Jun Lyu, Meng Liu, Longyu Sun, Mengting Sun, Qirong Li, Wenyue Mao, Xinran Wu, Yajing Zhang, Yinghua Chu, Shuo Wang, Chengyan Wang:
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation. MICCAI (12) 2024: 432-442 - [c37]Yiming Zhao, Yi Zhou, Yizhe Zhang, Ye Wu, Tao Zhou:
TextPolyp: Point-Supervised Polyp Segmentation with Text Cues. MICCAI (11) 2024: 711-722 - [i38]Tianyu Huang, Tao Zhou, Weidi Xie, Shuo Wang, Qi Dou, Yizhe Zhang:
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. CoRR abs/2406.00956 (2024) - [i37]Pengfei Gu, Yejia Zhang, Huimin Li, Hongxiao Wang, Yizhe Zhang, Chaoli Wang, Danny Z. Chen:
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation. CoRR abs/2406.10519 (2024) - [i36]Pengfei Gu, Zihan Zhao, Hongxiao Wang, Yaopeng Peng, Yizhe Zhang, Nishchal Sapkota, Chaoli Wang, Danny Z. Chen:
Boosting Medical Image Classification with Segmentation Foundation Model. CoRR abs/2406.11026 (2024) - [i35]Qing Li, Yizhe Zhang, Yan Li, Jun Lyu, Meng Liu, Longyu Sun, Mengting Sun, Qirong Li, Wenyue Mao, Xinran Wu, Yajing Zhang, Yinghua Chu, Shuo Wang, Chengyan Wang:
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation. CoRR abs/2406.12646 (2024) - [i34]Xiao Ma, Yuhui Tao, Yuhan Zhang, Zexuan Ji, Yizhe Zhang, Qiang Chen:
Test-Time Generative Augmentation for Medical Image Segmentation. CoRR abs/2406.17608 (2024) - [i33]Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang:
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis. CoRR abs/2407.11401 (2024) - [i32]Zinan Xiong, Shuijiao Chen, Yizhe Zhang, Yu Cao, Benyuan Liu, Xiaowei Liu:
Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos. CoRR abs/2408.09261 (2024) - 2023
- [j8]Yuhui Tao, Xiao Ma, Yizhe Zhang, Kun Huang, Zexuan Ji, Wen Fan, Songtao Yuan, Qiang Chen:
LAGAN: Lesion-Aware Generative Adversarial Networks for Edema Area Segmentation in SD-OCT Images. IEEE J. Biomed. Health Informatics 27(5): 2432-2443 (2023) - [j7]Hengyi Yang, Tao Zhou, Yi Zhou, Yizhe Zhang, Huazhu Fu:
Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3349-3359 (2023) - [c36]Zhang Zhang, Xizhe Wang, Shuijiao Chen, Xiaowei Liu, Qilei Chen, Yizhe Zhang, Yu Cao, Benyuan Liu:
MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy. HealthCom 2023: 144-150 - [c35]Yizhe Zhang, Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen:
GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation. ISBI 2023: 1-5 - [c34]Yizhe Zhang, Shuo Wang, Yejia Zhang, Danny Z. Chen:
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification. UNSURE@MICCAI 2023: 12-21 - [c33]Yizhe Zhang, Tao Zhou, Shuo Wang, Peixian Liang, Yejia Zhang, Danny Z. Chen:
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 129-139 - [c32]Yizhe Zhang, Danny Z. Chen:
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image Analysis. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 151-160 - [i31]Yizhe Zhang, Danny Z. Chen:
GPT4MIA: Utilizing Geneative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis. CoRR abs/2302.08722 (2023) - [i30]Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong:
Can SAM Segment Polyps? CoRR abs/2304.07583 (2023) - [i29]Yizhe Zhang, Tao Zhou, Peixian Liang, Danny Z. Chen:
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. CoRR abs/2304.11332 (2023) - [i28]Yizhe Zhang, Tao Zhou, Shuo Wang, Ye Wu, Pengfei Gu, Danny Z. Chen:
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. CoRR abs/2308.13759 (2023) - [i27]Yizhe Zhang, Shuo Wang, Yejia Zhang, Danny Z. Chen:
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification. CoRR abs/2309.04760 (2023) - [i26]Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan:
Edge-aware Feature Aggregation Network for Polyp Segmentation. CoRR abs/2309.10523 (2023) - [i25]Shuo Wang, Yan Zhu, Xiaoyuan Luo, Zhiwei Yang, Yizhe Zhang, Peiyao Fu, Manning Wang, Zhijian Song, Quanlin Li, Pinghong Zhou, Yike Guo:
Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models. CoRR abs/2310.11173 (2023) - [i24]Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu:
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends. CoRR abs/2311.18373 (2023) - [i23]Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu:
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. CoRR abs/2312.00312 (2023) - [i22]Yizhe Zhang, Shuo Wang, Tao Zhou, Qi Dou, Danny Z. Chen:
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model. CoRR abs/2312.09899 (2023) - [i21]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. CoRR abs/2312.16039 (2023) - 2022
- [j6]Suraj Mishra, Yizhe Zhang, Danny Z. Chen, X. Sharon Hu:
Data-Driven Deep Supervision for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(6): 1560-1574 (2022) - [j5]Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen:
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation. IEEE Trans. Medical Imaging 41(10): 2582-2597 (2022) - [c31]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:
Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device. CVPR 2022: 21399-21406 - [c30]Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, Danny Z. Chen:
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models. MICCAI (5) 2022: 173-182 - [c29]Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen:
Data-Driven Deep Supervision for Skin Lesion Classification. MICCAI (1) 2022: 721-731 - [c28]Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli:
Perceptual Consistency in Video Segmentation. WACV 2022: 2623-2632 - [c27]Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli:
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. WACV 2022: 2633-2642 - [i20]Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen:
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation. CoRR abs/2206.01309 (2022) - [i19]Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, Danny Z. Chen:
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models. CoRR abs/2207.00156 (2022) - [i18]Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen:
Data-Driven Deep Supervision for Skin Lesion Classification. CoRR abs/2209.01527 (2022) - [i17]Haoran Wang, Yan Zhu, Wenzheng Qin, Yizhe Zhang, Pinghong Zhou, Quanlin Li, Shuo Wang, Zhijian Song:
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset). CoRR abs/2212.12204 (2022) - 2021
- [c26]Hong Cai, Janarbek Matai, Shubhankar Borse, Yizhe Zhang, Amin Ansari, Fatih Porikli:
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. BMVC 2021: 41 - [c25]Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli:
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. BMVC 2021: 175 - [c24]Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli:
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. CVPR 2021: 5901-5911 - [c23]Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, Danny Z. Chen:
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation. MICCAI (1) 2021: 337-347 - [i16]Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli:
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. CoRR abs/2104.02745 (2021) - [i15]Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli:
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. CoRR abs/2110.12369 (2021) - [i14]Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli:
Perceptual Consistency in Video Segmentation. CoRR abs/2110.12385 (2021) - [i13]Hong Cai, Janarbek Matai, Shubhankar Borse, Yizhe Zhang, Amin Ansari, Fatih Porikli:
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. CoRR abs/2110.12516 (2021) - [i12]Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli:
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. CoRR abs/2111.02333 (2021) - 2020
- [j4]Chengtao Peng, Bin Li, Peixian Liang, Jian Zheng, Yizhe Zhang, Bensheng Qiu, Danny Z. Chen:
A Cross-Domain Metal Trace Restoring Network for Reducing X-Ray CT Metal Artifacts. IEEE Trans. Medical Imaging 39(12): 3831-3842 (2020) - [j3]Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen:
AntVis: A web-based visual analytics tool for exploring ant movement data. Vis. Informatics 4(1): 58-70 (2020) - [c22]Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen:
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. AAAI 2020: 6925-6932 - [c21]Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. BIBM 2020: 815-820 - [c20]Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, Hao Zheng, Siyuan Zhang, Danny Ziyi Chen:
A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation. CBMS 2020: 41-46 - [c19]Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen:
InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. CBMS 2020: 332-337 - [c18]Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli:
Structured Convolutions for Efficient Neural Network Design. NeurIPS 2020 - [i11]Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli:
Structured Convolutions for Efficient Neural Network Design. CoRR abs/2008.02454 (2020) - [i10]Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. CoRR abs/2012.09373 (2020)
2010 – 2019
- 2019
- [c17]Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Biomedical Image Segmentation via Representative Annotation. AAAI 2019: 5901-5908 - [c16]Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. AAAI 2019: 5909-5916 - [c15]Bryan Bryan, Yuan Gong, Yizhe Zhang, Christian Poellabauer:
Second-Order Non-Local Attention Networks for Person Re-Identification. ICCV 2019: 3759-3768 - [c14]Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. ISBI 2019: 339-342 - [c13]Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen:
Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. MICCAI (2) 2019: 641-650 - [c12]Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. MICCAI (2) 2019: 759-767 - [c11]Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen:
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. MIDL 2019: 572-587 - [i9]Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation. CoRR abs/1901.04949 (2019) - [i8]Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen:
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. CoRR abs/1903.00035 (2019) - [i7]Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen:
Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. CoRR abs/1906.02901 (2019) - [i6]Bryan (Ning) Xia, Yuan Gong, Yizhe Zhang, Christian Poellabauer:
Second-order Non-local Attention Networks for Person Re-identification. CoRR abs/1909.00295 (2019) - 2018
- [j2]Ming Shao, Yizhe Zhang, Yun Fu:
Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1019-1032 (2018) - [c10]Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen:
A new registration approach for dynamic analysis of calcium signals in organs. ISBI 2018: 934-937 - [i5]Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen:
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs. CoRR abs/1802.00491 (2018) - [i4]Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen:
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation. CoRR abs/1806.00593 (2018) - [i3]Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. CoRR abs/1812.03945 (2018) - 2017
- [c9]Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen:
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. MICCAI (3) 2017: 399-407 - [c8]Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen:
Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. MICCAI (3) 2017: 408-416 - [i2]Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen:
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. CoRR abs/1706.04737 (2017) - 2016
- [j1]Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen:
A seeding-searching-ensemble method for gland segmentation in H&E-stained images. BMC Medical Informatics Decis. Mak. 16(S-2): 80 (2016) - [c7]Yizhe Zhang, Michael T. C. Ying, Lin Yang, Anil T. Ahuja, Danny Z. Chen:
Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images. BIBM 2016: 443-448 - [c6]Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut. MICCAI (2) 2016: 658-666 - [c5]Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Ziyi Chen:
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. NIPS 2016: 3036-3044 - [i1]Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Z. Chen:
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. CoRR abs/1609.01006 (2016) - 2015
- [c4]Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen:
A seeding-searching-ensemble method for gland segmentation and detection. BIBM 2015: 357-362 - [c3]Jiazhuo Wang, John D. MacKenzie, Rageshree Ramachandran, Yizhe Zhang, Haitao Wang, Danny Ziyi Chen:
Segmenting subcellular structures in histology tissue images. ISBI 2015: 556-559 - [c2]Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning. MICCAI (3) 2015: 292-299 - 2013
- [c1]Yizhe Zhang, Ming Shao, Edward K. Wong, Yun Fu:
Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition. ICCV 2013: 2416-2423
Coauthor Index
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