Resultados de procura - Ha, Richard

Understanding artificial intelligence based radiology studies: What is overfitting? por Mutasa, Simukayi, Sun, Shawn, Ha, Richard

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Commentary: Superior vena cava syndrome should not hinder use of a percutaneous right ventricular assist device por Ha, Richard V., Nguyen, Tom C.

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Optimal timing of same-admission orthotopic heart transplantation after left ventricular assist device implantation por Gulati, Gunsagar, Ouyang, David, Ha, Richard, Banerjee, Dipanjan

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Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment por Mango, Victoria L., Sun, Mary, Wynn, Ralph T., Ha, Richard

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Ultrasonographic features and clinical implications of benign palpable breast lesions in young women por Ha, Richard, Kim, Hyonah, Mango, Victoria, Wynn, Ralph, Comstock, Christopher

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Innovations in image-guided preoperative breast lesion localization por Cheang, Ellen, Ha, Richard, Thornton, Cynthia M, Mango, Victoria L

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Biventricular VAD versus LVAD for right heart failure por Boulate, David, Marques, Michael A., Ha, Richard, Banerjee, Dipanjan, Haddad, Francois

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Breast MRI Screening for Average-Risk Women: A Monte Carlo Simulation Cost–Benefit Analysis por Mango, Victoria L., Goel, Akshay, Mema, Eralda, Kwak, Ellie, Ha, Richard

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Simultaneous ramp right heart catheterization and echocardiography in a ReliantHeart left ventricular assist device por Banerjee, Dipanjan, Dutt, Debleena, Duclos, Sebastien, Sallam, Karim, Wheeler, Matthew, Ha, Richard

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Dynamic Changes of Convolutional Neural Network-based Mammographic Breast Cancer Risk Score Among Women Undergoing Chemoprevention Treatment por Manley, Haley, Mutasa, Simukayi, Chang, Peter, Desperito, Elise, Crew, Katherine, Ha, Richard

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A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database por Liu, Michael Z., Mutasa, Simukayi, Chang, Peter, Siddique, Maham, Jambawalikar, Sachin, Ha, Richard

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Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study por Ha, Richard, Mema, Eralda, Guo, Xiaotao, Mango, Victoria, Desperito, Elise, Ha, Jason, Wynn, Ralph, Zhao, Binsheng

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A Single-Institution Experience in the Preoperative Selection of DCIS Patients for IORT using the ASTRO Consensus Guidelines por Chin, Christine, Hirji, Sitara, Onishi, Maika, Ha, Richard, Taback, Bret, Horowitz, David P., Connolly, Eileen P.

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Stereotactic breast biopsy efficiency: Does a pre-biopsy grid image help? por Mango, Victoria L., D’Alessio, Donna, Morris, Elizabeth A., Ha, Richard, Bernard-Davila, Blanca, Jochelson, Maxine S.

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Influence of Durable Mechanical Circulatory Support and Allosensitization on Mortality After Heart Transplantation por Chiu, Peter, Schaffer, Justin M., Oyer, Philip E., Pham, Michael, Banerjee, Dipanjan, Woo, Y. Joseph, Ha, Richard

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Evaluation of Partial Breast Reirradiation with Intraoperative Radiotherapy after Prior Thoracic Radiation: A Single-Institution Report of Outcomes and Toxicity por Chin, Christine, Jadeja, Priya, Taback, Bret, Horowitz, David P., Feldman, Sheldon M., Ha, Richard, Connolly, Eileen P.

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Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset por Ha, Richard, Chang, Peter, Karcich, Jenika, Mutasa, Simukayi, Fardanesh, Reza, Wynn, Ralph T., Liu, Michael Z., Jambawalikar, Sachin

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Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement por Ha, Richard, Chang, Peter, Mema, Eralda, Mutasa, Simukayi, Karcich, Jenika, Wynn, Ralph T., Liu, Michael Z., Jambawalikar, Sachin

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Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network–Based Machine Learning Approach Using Mammographic Image Data... por Ha, Richard, Mutasa, Simukayi, Sant, Eduardo Pascual Van, Karcich, Jenika, Chin, Christine, Liu, Michael Z., Jambawalikar, Sachin

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Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset por Ha, Richard, Chang, Peter, Karcich, Jenika, Mutasa, Simukayi, Pascual Van Sant, Eduardo, Liu, Michael Z., Jambawalikar, Sachin

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