Yi Wang

Orcid: 0000-0002-8428-288X

Affiliations:
  • Shenzhen University, School of Biomedical Engineering, Health Science Center, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, China
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (PhD 2017)


According to our database1, Yi Wang authored at least 36 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation.
Expert Syst. Appl., March, 2024

ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration.
CoRR, 2024

Learning to Maximize Mutual Information for Chain-of-Thought Distillation.
CoRR, 2024

Pyramid Attention Network for Medical Image Registration.
CoRR, 2024

2023
Joint-phase attention network for breast cancer segmentation in DCE-MRI.
Expert Syst. Appl., August, 2023

SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Deep LSAC for Fine-Grained Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.
Medical Image Anal., 2022

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation.
CoRR, 2022

Graph-based Regional Feature Enhancing for Abdominal Multi-Organ Segmentation in CT.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021
Multitask Feature Learning Meets Robust Tensor Decomposition for EEG Classification.
IEEE Trans. Cybern., 2021

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound.
Medical Image Anal., 2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels.
CoRR, 2021

Reciprocal Learning for Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
IEEE Trans. Medical Imaging, 2020

AutoPath: Image-Specific Inference for 3D Segmentation.
Frontiers Neurorobotics, 2020

Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes.
Comput. Methods Programs Biomed., 2020

Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unsupervised 3D End-to-end Deformable Network for Brain MRI Registration.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound.
IEEE Trans. Medical Imaging, 2019

Online Subspace Learning from Gradient Orientations for Robust Image Alignment.
IEEE Trans. Image Process., 2019

FetusMap: Fetal Pose Estimation in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration.
IEEE Trans. Medical Imaging, 2018

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting.
IEEE J. Biomed. Health Informatics, 2018

Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Deep Attentional Features for Prostate Segmentation in Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration.
IEEE Trans. Medical Imaging, 2016

2014
Towards Personalized Biomechanical Model and MIND-Weighted Point Matching for Robust Deformable MR-TRUS Registration.
Proceedings of the Computer-Assisted and Robotic Endoscopy - First International Workshop, 2014

Personalized modeling of prostate deformation based on elastography for MRI-TRUS registration.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014


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