Jing Wang

发表

Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model

Xi Chen, Xuanqin Mou, Jing Wang, 2018, Physics in medicine and biology.

Multi-objective radiomics model for predicting distant failure in lung SBRT

Steve B. Jiang, Zhiguo Zhou, Jing Wang, 2017, Physics in medicine and biology.

Shell feature: a new radiomics descriptor for predicting distant failure after radiotherapy in non-small cell lung cancer and cervix cancer

Fang Liu, Puneeth Iyengar, Hongxia Hao, 2017, Physics in medicine and biology.

Quantitative PET Imaging and Clinical Parameters as Predictive Factors for Patients With Cervical Carcinoma: Implications of a Prediction Model Generated Using Multi-Objective Support Vector Machine Learning

Zhiguo Zhou, K. Thomas, Jing Wang, 2020, Technology in cancer research & treatment.

Developing Predictive or Prognostic Biomarkers for Charged Particle Radiotherapy

Jing Wang, M. Story, 2018, International journal of particle therapy.

A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy

Steve B. Jiang, Pingkun Yan, Hongxia Hao, 2019, Medical Imaging.

Incorporating biomechanical modeling and deep learning into a deformation-driven liver CBCT reconstruction technique

Bin Li, Xun Jia, Liyuan Chen, 2019, Medical Imaging.

Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning*

Steve B. Jiang, Zhiguo Zhou, Jing Wang, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multifactorial cancer treatment outcome prediction through multifaceted radiomics.

Steve B. Jiang, Zhiguo Zhou, Jing Wang, 2018, 1807.09212.

Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling

Steve B. Jiang, Justin C. Park, Jing Wang, 2022, Physics in medicine and biology.

Locoregional recurrence prediction in head and neck cancer based on multi-modality and multi-view feature expansion

Zhiguo Zhou, Jing Wang, D. Sher, 2022, Physics in medicine and biology.

Phase II Trial of Sipuleucel-T and Stereotactic Ablative Body Radiation for Patients with Metastatic Castrate-Resistant Prostate Cancer

Laurentiu M. Pop, R. Hannan, Jing Wang, 2022, Biomedicines.

Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features

Jing Wang, Bin Li, Jianhua Ma, 2018, Physics in medicine and biology.

Medical image recognition and segmentation of pathological slices of gastric cancer based on Deeplab v3+ neural network

Jing Wang, Xiuping Liu, Jing Wang, 2021, Comput. Methods Programs Biomed..

A multi-objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancers.

Liyuan Chen, Rongfang Wang, Jing Wang, 2020, Medical physics.

Multifaceted radiomics for distant metastasis prediction in head & neck cancer

Hui Liu, Steve B. Jiang, Steve B Jiang, 2020, Physics in medicine and biology.

Predicting distant failure in early stage NSCLC treated with SBRT using clinical parameters.

Steve B. Jiang, Puneeth Iyengar, Jing Wang, 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models

Jing Wang, You Zhang, Liyuan Chen, 2023, ArXiv.

Attention Guided Lymph Node Malignancy Prediction in Head and Neck Cancer.

Zhiguo Zhou, Jing Wang, D. Sher, 2021, International journal of radiation oncology, biology, physics.

Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and aleatoric uncertainty

Jing Wang, D. Sher, M. Dohopolski, 2020, Physics in medicine and biology.

Technical Note: Deriving ventilation imaging from 4DCT by deep convolutional neural network.

Steve B. Jiang, Liyuan Chen, Thomas Guerrero, 2018, Medical physics.

Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model

Steve B. Jiang, Liyuan Chen, Jing Wang, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer

Steve B. Jiang, Liyuan Chen, Jing Wang, 2018, Physics in medicine and biology.

Multi-objective ensemble deep learning using electronic health records to predict outcomes after lung cancer radiotherapy

Liyuan Chen, Hongxia Hao, Jing Wang, 2019, Physics in medicine and biology.

On the robustness of deep learning-based lung-nodule classification for CT images with respect to image noise

Steve B. Jiang, Xun Jia, Liyuan Chen, 2020, Physics in medicine and biology.

Synthetic CT Generation from CBCT images via Deep Learning.

Steve B. Jiang, Liyuan Chen, Xiao Liang, 2019, Medical physics.

ARMO: automated and reliable multi-objective model for lymph node metastasis prediction in head and neck cancer

Zhiguo Zhou, Jing Wang, D. Sher, 2023, Physics in medicine and biology.

H-SegNet: hybrid segmentation network for lung segmentation in chest radiographs using mask region-based convolutional neural network and adaptive closed polyline searching method

Jing Wang, You Zhang, Caishan Wang, 2022, Physics in medicine and biology.

Synthetic CT generation from CBCT images via unsupervised deep learning

Steve B. Jiang, Jing Wang, D. Nguyen, 2021, Physics in medicine and biology.

Exploratory ensemble interpretable model for predicting local failure in head and neck cancer: the additive benefit of CT and intra-treatment cone-beam computed tomography features.

Jing Wang, M. Folkert, D. Sher, 2021, Quantitative imaging in medicine and surgery.

Accurate real time localization tracking in a clinical environment using Bluetooth Low Energy and deep learning

Jing Wang, Steve B. Jiang, Weiguo Lu, 2017, PloS one.

Convolutional Neural Networks Accurately Predict Benign versus Malignant Status Among Peripheral Nerve Sheath Tumors

A. Chhabra, Jing Wang, M. Folkert, 2021, Journal of Neuroimaging in Psychiatry & Neurology.

Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification

Steve B. Jiang, Jing Wang, Genggeng Qin, 2018, IEEE Journal of Biomedical and Health Informatics.

Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior

Liyuan Chen, Chenyang Shen, Jing Wang, 2019, Physics in medicine and biology.

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification

Xun Jia, Liyuan Chen, Jing Wang, 2019, Int. J. Comput. Assist. Radiol. Surg..

Automatic multi-objective based feature selection for classification pdf

Jing Wang, Genggeng Qin, Zhiguo Zhou, 2018, ArXiv.

Hybrid Automatic Lung Segmentation on Chest CT Scans

Thomas Canhao Xu, Shanq-Jang Ruan, Yihuai Wang, 2020, IEEE Access.

Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models

Jing Wang, You Zhang, Liyuan Chen, 2023, IEEE Transactions on Medical Imaging.

Shell feature: a new radiomics descriptor for predicting distant failure after radiotherapy in non-small cell lung cancer and cervix cancer

Zhiguo Zhou, Jing Wang, M. Folkert, 2017, Physics in medicine and biology.

A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT

Jing Wang, Bin Li, Steve B. Jiang, 2018, Medical Image Anal..

Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning*

Jing Wang, Steve B. Jiang, Liyuan Chen, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation

Jing Wang, Hongxia Hao, Zhiguo Zhou, 2017, Medical Imaging.

A collection input based support tensor machine for lesion malignancy classification in digital breast tomosynthesis

Liyuan Chen, Jing Wang, Genggeng Qin, 2019, Physics in medicine and biology.