Jianing Wang
Orcid: 0000-0002-1362-8273Affiliations:
- Siemens Healthineers, Digital Technology and Innovation, Princeton, NJ, USA
- Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA
According to our database1,
Jianing Wang
authored at least 17 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training.
IEEE Trans. Medical Imaging, May, 2024
2023
A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2021
Metal artifact reduction, intra cochlear anatomy segmentation, and cochlear implant electrodes localization in CT images with a multi-task 3D network.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Validation of a hybrid active shape and deep learning intracochlear anatomy segmentation method for image-guided cochlear implant programming.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Atlas-based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs.
Medical Image Anal., 2020
Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Validation of a metal artifact reduction method based on 3D conditional GANs for CT images of the ear.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Metal Artifact Reduction and Intra Cochlear Anatomy Segmentation Inct Images of the Ear With A Multi-Resolution Multi-Task 3D Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs.
Medical Image Anal., 2019
Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
A Deep-Learning-Based Method for the Localization of Cochlear Implant Electrodes in CT Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Segmentation of skin lesions in chronic graft versus host disease photographs with fully convolutional networks.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Automatic selection of landmarks in T1-weighted head MRI with regression forests for image registration initialization.
Proceedings of the Medical Imaging 2017: Image Processing, 2017