Theresa Thai to Humans
This is a "connection" page, showing publications Theresa Thai has written about Humans.
Connection Strength
0.152
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MRI manifestations of pancreatic disease, especially pancreatitis, in the pediatric population. AJR Am J Roentgenol. 2013 Dec; 201(6):W877-92.
Score: 0.026
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Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients. Comput Biol Med. 2024 Apr; 172:108240.
Score: 0.013
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Recent advances and clinical applications of deep learning in medical image analysis. Med Image Anal. 2022 07; 79:102444.
Score: 0.011
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Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images. J Xray Sci Technol. 2022; 30(2):377-388.
Score: 0.011
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Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. Comput Methods Programs Biomed. 2020 Dec; 197:105759.
Score: 0.010
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The role of chest computed tomography in the management of COVID-19: A review of results and recommendations. Exp Biol Med (Maywood). 2020 07; 245(13):1096-1103.
Score: 0.010
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Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker. Phys Med Biol. 2018 08 06; 63(15):155020.
Score: 0.009
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Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks. Ann Biomed Eng. 2018 Dec; 46(12):1988-1999.
Score: 0.009
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Uterine Didelphys with Bilateral Cervical Agenesis in a 15-Year-Old Girl. J Pediatr Adolesc Gynecol. 2018 Feb; 31(1):64-66.
Score: 0.008
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Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy. Acad Radiol. 2017 10; 24(10):1233-1239.
Score: 0.008
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A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images. Comput Methods Programs Biomed. 2017 Jun; 144:97-104.
Score: 0.008
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Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. BMC Med Imaging. 2016 08 31; 16(1):52.
Score: 0.008
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Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis. Acta Radiol. 2016 Sep; 57(9):1149-55.
Score: 0.007
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A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. IEEE Trans Med Imaging. 2016 Jan; 35(1):316-25.
Score: 0.007
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Measurements of adiposity as clinical biomarkers for first-line bevacizumab-based chemotherapy in epithelial ovarian cancer. Gynecol Oncol. 2014 Apr; 133(1):11-5.
Score: 0.007