T. Thai

发表

The role of chest computed tomography in the management of COVID-19: A review of results and recommendations

Hong Liu, M. Wong, T. Thai, 2020, Experimental biology and medicine.

Imaging biomarkers of adiposity and sarcopenia as potential predictors for overall survival among patients with endometrial cancer treated with bevacizumab

P. Thaker, B. Davidson, K. Moore, 2019, Gynecologic oncology reports.

Imaging biomarkers of adiposity and sarcopenia as potential predictors for overall survival among patients with endometrial cancer treated with bevacizumab

P. Thaker, B. Davidson, K. Moore, 2017, Gynecologic oncology reports.

Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks

B. Zheng, Hong Liu, K. Moxley, 2018, Annals of Biomedical Engineering.

Hepatic Actinomycosis in a Patient With Retained Common Bile Duct Stent

T. Thai, Michael Magguilli, G. Salem, 2019, ACG case reports journal.

MRI manifestations of pancreatic disease, especially pancreatitis, in the pediatric population.

T. Thai, K. Rust, D. Riherd, 2013, AJR. American journal of roentgenology.

Recent advances and clinical applications of deep learning in medical image analysis

B. Zheng, Hong Liu, Kecheng Zhang, 2021, Medical Image Anal..

Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker

Morteza Heidari, Hong Liu, Bin Zheng, 2018, Physics in medicine and biology.

Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy.

Bin Zheng, Gopichandh Danala, Yuchen Qiu, 2017, Academic radiology.

Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images.

T. Thai, B. Zheng, Meredith A Jones, 2022, Journal of X-ray science and technology.

A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images

Hong Liu, Bin Zheng, Yunzhi Wang, 2017, Comput. Methods Programs Biomed..

Uterine Didelphys with Bilateral Cervical Agenesis in a 15-Year-Old Girl.

T. Thai, Kate C. Arnold, L. Craig, 2017, Journal of pediatric and adolescent gynecology.

Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis

Bin Zheng, Yuchen Qiu, Maxine Tan, 2016, Acta radiologica.

Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome

Hong Liu, Bin Zheng, Yunzhi Wang, 2016, BMC Medical Imaging.

A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration

Zheng Li, Bin Zheng, Theresa C. Thai, 2016, IEEE Transactions on Medical Imaging.

Measurements of adiposity as clinical biomarkers for first-line bevacizumab-based chemotherapy in epithelial ovarian cancer.

K. Ding, T. Nelson, T. Thai, 2014, Gynecologic oncology.

Measurements of adiposity as prognostic biomarkers for survival with anti-angiogenic treatment in epithelial ovarian cancer: An NRG Oncology/Gynecologic Oncology Group ancillary data analysis of GOG 218.

Y. Wang, R. Burger, H. Gray, 2019, Gynecologic oncology.

Comparing the effectiveness of 2D and 3D features on predicting the response to chemotherapy for ovarian cancer patients

Kecheng Zhang, R. Mannel, K. Moore, 2023, BiOS.

Evaluating the Effectiveness of 2D and 3D Features for Predicting Tumor Response to Chemotherapy

Kecheng Zhang, R. Mannel, K. Moore, 2023, ArXiv.

Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients

Hong Liu, Wei Liu, Yuchen Qiu, 2020, Comput. Methods Programs Biomed..

Improving efficacy of metastatic tumor segmentation to facilitate early prediction of ovarian cancer patients' response to chemotherapy

Bin Zheng, Gopichandh Danala, Theresa C. Thai, 2017, BiOS.

Radiologic Predictors of Increased Number of Necrosectomies During Endoscopic Management of Walled-off Pancreatic Necrosis

D. Early, J. Maple, V. Kushnir, 2021, Journal of clinical gastroenterology.

Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study

Hong Liu, Bin Zheng, Gopichandh Danala, 2017, Medical Imaging.

Developing a low cost image marker to identify lymph node metastasis for cervical cancer patients: an initial study

Bin Zheng, Hong Liu, Theresa C. Thai, 2020, BiOS.

Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study

Hong Liu, Bin Zheng, Theresa C. Thai, 2015, Medical Imaging.

Virtual adversarial training for semi-supervised breast mass classification

Theresa C. Thai, Robert S. Mannel, Xuxin Chen, 2022, BiOS.

Utilizing deep learning technology to develop a novel CT image marker for categorizing cervical cancer patients at early stage

Hong Liu, Bin Zheng, Theresa C. Thai, 2019, BiOS.

Evaluating the Effectiveness of 2D and 3D CT Image Features for Predicting Tumor Response to Chemotherapy

T. Thai, Xuxin Chen, Neman Abdoli, 2023, Bioengineering.

Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks

Hong Liu, Bin Zheng, Theresa C. Thai, 2018, Annals of Biomedical Engineering.

Development of a transferring GAN based CAD scheme for breast mass classification: an initial study

Bin Zheng, Theresa C. Thai, Yuchen Qiu, 2021, BiOS.

Assessing the performance of quantitative image features on early stage prediction of treatment effectiveness for ovary cancer patients: a preliminary investigation

Bin Zheng, Theresa C. Thai, Kathleen N. Moore, 2018, BiOS.

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification

Hong Liu, Bin Zheng, Theresa C. Thai, 2018, Medical Imaging.

Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients

Kecheng Zhang, R. Mannel, T. Thai, 2023, ArXiv.

Quantitative measurement of adiposity using CT images to predict the benefit of bevacizumab-based chemotherapy in epithelial ovarian cancer patients.

B. Zheng, Hong Liu, K. Ding, 2016, Oncology letters.

Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy.

B. Zheng, Hong Liu, R. Mannel, 2017, Academic radiology.