Zhifan Gao
Orcid: 0000-0002-1576-4439
According to our database1,
Zhifan Gao
authored at least 65 papers
between 2010 and 2024.
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Bibliography
2024
A Deformable Constraint Transport Network for Optimal Aortic Segmentation From CT Images.
IEEE Trans. Medical Imaging, April, 2024
Iterative Residual Optimization Network for Limited-Angle Tomographic Reconstruction.
IEEE Trans. Image Process., 2024
2023
Multi-view stereoscopic attention network for 3D tumor classification in automated breast ultrasound.
Expert Syst. Appl., December, 2023
Inf. Fusion, November, 2023
Accurate 3D contrast-free myocardial infarction delineation using a 4D dual-stream spatiotemporal feature learning framework.
Appl. Soft Comput., October, 2023
Distance transform learning for structural and functional analysis of coronary artery from dual-view angiography.
Future Gener. Comput. Syst., August, 2023
Vessel Contour Detection in Intracoronary Images via Bilateral Cross-Domain Adaptation.
IEEE J. Biomed. Health Informatics, July, 2023
IEEE Trans. Medical Imaging, June, 2023
Reliable Mutual Distillation for Medical Image Segmentation Under Imperfect Annotations.
IEEE Trans. Medical Imaging, June, 2023
Comput. Methods Programs Biomed., June, 2023
Motion estimation based on projective information disentanglement for 3D reconstruction of rotational coronary angiography.
Comput. Biol. Medicine, May, 2023
Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation.
Inf. Fusion, April, 2023
IEEE Trans. Medical Imaging, March, 2023
Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules.
IEEE Internet Things J., January, 2023
Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT.
IEEE J. Biomed. Health Informatics, 2023
A Physics-Guided Deep Learning Approach for Functional Assessment of Cardiovascular Disease in IoT-Based Smart Health.
IEEE Internet Things J., 2023
Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Controllable Deep Learning Denoising Model for Ultrasound Images Using Synthetic Noisy Image.
Proceedings of the Advances in Computer Graphics, 2023
2022
IEEE Trans. Medical Imaging, 2022
Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction.
Patterns, 2022
Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks.
Future Gener. Comput. Syst., 2022
Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.
CoRR, 2022
CS<sup>2</sup>: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading.
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
2021
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping.
IEEE Trans. Neural Networks Learn. Syst., 2021
Industrial Pervasive Edge Computing-Based Intelligence IoT for Surveillance Saliency Detection.
IEEE Trans. Ind. Informatics, 2021
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences.
Medical Image Anal., 2021
Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things.
IEEE Internet Things J., 2021
MIST-net: Multi-domain Integrative Swin Transformer network for Sparse-View CT Reconstruction.
CoRR, 2021
Appl. Soft Comput., 2021
Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-Branch Multi-scale Attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging.
IEEE Trans. Medical Imaging, 2020
Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging.
Neural Networks, 2020
IEEE Netw., 2020
Neural Comput. Appl., 2020
Trustful Internet of Surveillance Things Based on Deeply Represented Visual Co-Saliency Detection.
IEEE Internet Things J., 2020
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst., 2020
Unified model for interpreting multi-view echocardiographic sequences without temporal information.
Appl. Soft Comput., 2020
2019
Learning the implicit strain reconstruction in ultrasound elastography using privileged information.
Medical Image Anal., 2019
Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach.
IEEE Trans. Medical Imaging, 2018
Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle.
IEEE J. Biomed. Health Informatics, 2018
Multim. Tools Appl., 2018
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical Image Anal., 2018
An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram.
IEEE Access, 2018
IEEE Access, 2018
IEEE Access, 2018
Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Robust estimation of carotid artery wall motion using the elasticity-based state-space approach.
Medical Image Anal., 2017
An artificial neural network method for lumen and media-adventitia border detection in IVUS.
Comput. Medical Imaging Graph., 2017
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Detection of lumen and media-adventitia borders in IVUS images using sparse auto-encoder neural network.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Motion Estimation of Common Carotid Artery Wall Using a H ∞ Filter Based Block Matching Method.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
2012
Robust heart beat detection from photoplethysmography interlaced with motion artifacts based on Empirical Mode Decomposition.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010