Zhennan Yan
Orcid: 0000-0001-7128-1696
According to our database1,
Zhennan Yan
authored at least 45 papers
between 2007 and 2024.
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Bibliography
2024
Medical Image Anal., January, 2024
2023
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning.
Medical Image Anal., April, 2023
2022
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.
CoRR, 2022
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Modality Bank: Learn multi-modality images across data centers without sharing medical data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation.
IEEE Trans. Medical Imaging, 2021
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.
Medical Image Anal., 2021
Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
IEEE Trans. Medical Imaging, 2020
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information.
CoRR, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer Aggregation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Towards large-scale MR thigh image analysis via an integrated quantification framework.
Neurocomputing, 2017
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.
IEEE Trans. Medical Imaging, 2016
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification.
Comput. Vis. Image Underst., 2016
2015
Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues.
IEEE Trans. Cybern., 2015
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT.
Comput. Medical Imaging Graph., 2015
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials.
Comput. Medical Imaging Graph., 2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Automated anatomical landmark detection ondistal femur surface using convolutional neural network.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Accurate thigh inter-muscular adipose quantification using a data-driven and sparsity-constrained deformable model.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Efficient deformable model with sparse shape composition prior on compromised right lung segmentation in CT.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer'S disease.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2011
Proceedings of the Functional Imaging and Modeling of the Heart, 2011
2008
Deformation modeling using global medial representation structures and evaluation by biset mesh matching.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
2007
Proceedings of the Advances in Artificial Reality and Tele-Existence, 2007