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Jianing Wang 0004
Person information
- affiliation: Siemens Healthineers, Digital Technology and Innovation, Princeton, NJ, USA
- affiliation: Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA
Other persons with the same name
- Jianing Wang (aka: Jia-Ning Wang) — disambiguation page
- Jianing Wang 0001
— Hefei University of Technology, School of Electrical Engineering and Automation, China (and 1 more) - Jianing Wang 0002
(aka: Jia-ning Wang 0002) — East China Normal University, School of Data Science and Engineering, Shanghai, China - Jianing Wang 0003
— Xidian University, School of Artificial Intelligence, Xi'an, China
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2020 – today
- 2024
[j3]Han Liu
, Zhoubing Xu, Riqiang Gao
, Hao Li
, Jianing Wang
, Guillaume Chabin
, Ipek Oguz
, Sasa Grbic:
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. IEEE Trans. Medical Imaging 43(5): 1995-2009 (2024)- 2023
[c13]Yubo Fan, Jianing Wang, Yiyuan Zhao, Rui Li, Han Liu, Robert F. Labadie, Jack H. Noble, Benoit M. Dawant:
A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization. MICCAI (9) 2023: 376-385
[i4]Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz
, Sasa Grbic:
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training. CoRR abs/2304.14030 (2023)- 2021
[c12]Jianing Wang, Dingjie Su, Yubo Fan, Srijata Chakravorti, Jack H. Noble, Benoit M. Dawant:
Atlas-based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks. MICCAI (4) 2021: 14-23
[c11]Yubo Fan, Jianing Wang, Rueben A. Banalagay, Jack H. Noble, Benoit M. Dawant:
Validation of a hybrid active shape and deep learning intracochlear anatomy segmentation method for image-guided cochlear implant programming. Image-Guided Procedures 2021
[c10]Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant:
Metal artifact reduction, intra cochlear anatomy segmentation, and cochlear implant electrodes localization in CT images with a multi-task 3D network. Image Processing 2021
[i3]Jianing Wang, Dingjie Su, Yubo Fan, Srijata Chakravorti, Jack H. Noble, Benoit M. Dawant:
Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks. CoRR abs/2107.03987 (2021)- 2020
[j2]Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs. Medical Image Anal. 61: 101659 (2020)
[c9]Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Metal Artifact Reduction and Intra Cochlear Anatomy Segmentation Inct Images of the Ear With A Multi-Resolution Multi-Task 3D Network. ISBI 2020: 596-599
[c8]Jianing Wang, Srijata Chakravorti, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant:
Validation of a metal artifact reduction method based on 3D conditional GANs for CT images of the ear. Image-Guided Procedures 2020: 1131507
[c7]Yubo Fan, Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images. Image Processing 2020: 113131D
2010 – 2019
- 2019
[j1]Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs. Medical Image Anal. 58 (2019)
[c6]Yujie Chi, Jianing Wang, Yiyuan Zhao
, Jack H. Noble, Benoit M. Dawant:
A Deep-Learning-Based Method for the Localization of Cochlear Implant Electrodes in CT Images. ISBI 2019: 1141-1145
[c5]Dongqing Zhang, Rueben A. Banalagay, Jianing Wang, Yiyuan Zhao
, Jack H. Noble, Benoit M. Dawant:
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. Image Processing 2019: 1094907
[i2]Yiyuan Zhao, Jianing Wang, Rui Li, Robert F. Labadie, Benoit M. Dawant, Jack H. Noble:
Validation of image-guided cochlear implant programming techniques. CoRR abs/1909.10137 (2019)- 2018
[c4]Jianing Wang, Fuyao Chen, Laura E. Dellalana, Madan H. Jagasia, Eric R. Tkaczyk
, Benoit M. Dawant:
Segmentation of skin lesions in chronic graft versus host disease photographs with fully convolutional networks. Computer-Aided Diagnosis 2018: 105750N
[c3]Jianing Wang, Yiyuan Zhao
, Jack H. Noble, Benoit M. Dawant:
Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear. MICCAI (1) 2018: 3-11
[c2]Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
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. MICCAI (4) 2018: 703-711
[i1]Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
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. CoRR abs/1806.04725 (2018)- 2017
[c1]Jianing Wang, Yuan Liu, Jack H. Noble, Benoit M. Dawant:
Automatic selection of landmarks in T1-weighted head MRI with regression forests for image registration initialization. Image Processing 2017: 101332M
Coauthor Index

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last updated on 2025-11-22 01:15 CET by the dblp team
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