Yizhe Zhang
Orcid: 0000-0002-8676-9763Affiliations:
- Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- University of Notre Dame, USA (former)
According to our database1,
Yizhe Zhang
authored at least 74 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2025
Mach. Intell. Res., February, 2025
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation.
Pattern Recognit., 2025
2024
Medical Image Anal., February, 2024
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation.
CoRR, 2024
CoRR, 2024
Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos.
CoRR, 2024
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation.
CoRR, 2024
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation.
CoRR, 2024
Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
SMNET: A Spherical Mean Network for Probing Tissue Microarchitecture from Single-Shell DMRI.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
IEEE J. Biomed. Health Informatics, July, 2023
LAGAN: Lesion-Aware Generative Adversarial Networks for Edema Area Segmentation in SD-OCT Images.
IEEE J. Biomed. Health Informatics, May, 2023
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation.
CoRR, 2023
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model.
CoRR, 2023
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation.
CoRR, 2023
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends.
CoRR, 2023
Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models.
CoRR, 2023
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.
CoRR, 2023
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.
CoRR, 2023
GPT4MIA: Utilizing Geneative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis.
CoRR, 2023
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.
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.
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.
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.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
2022
IEEE Trans. Medical Imaging, 2022
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).
CoRR, 2022
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Vis. Informatics, 2020
IEEE Trans. Medical Imaging, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.
CoRR, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
BMC Medical Informatics Decis. Mak., 2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation.
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.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2013
Proceedings of the IEEE International Conference on Computer Vision, 2013