Yuting He
Orcid: 0000-0003-0878-8915Affiliations:
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, OH, USA
- Southeast University, School of Computer Science and Engineering, Laboratory of Image Science and Technology, Nanjing, China (PhD 2023)
According to our database1,
Yuting He
authored at least 29 papers
between 2019 and 2025.
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Bibliography
2025
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025
Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024
CoRR, 2024
2023
Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT.
IEEE J. Biomed. Health Informatics, April, 2023
O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.
Knowl. Based Syst., April, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
MVSGAN: Spatial-Aware Multi-View CMR Fusion for Accurate 3D Left Ventricular Myocardium Segmentation.
IEEE J. Biomed. Health Informatics, 2022
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.
IEEE J. Biomed. Health Informatics, 2022
Projection network with Spatio-temporal information: 2D + time DSA to 2D aorta segmentation.
Multim. Tools Appl., 2022
BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images.
Knowl. Based Syst., 2022
RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification.
Knowl. Based Syst., 2022
X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images.
Knowl. Based Syst., 2022
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention.
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint.
IEEE Trans. Image Process., 2021
Medical Image Anal., 2021
CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021
Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.
Medical Image Anal., 2020
Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019