Rezultati - Ha, Richard

Understanding artificial intelligence based radiology studies: What is overfitting? od 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 od Ha, Richard V., Nguyen, Tom C.

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Optimal timing of same-admission orthotopic heart transplantation after left ventricular assist device implantation od 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 od 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 od Ha, Richard, Kim, Hyonah, Mango, Victoria, Wynn, Ralph, Comstock, Christopher

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

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Biventricular VAD versus LVAD for right heart failure od 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 od 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 od 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 od 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 od 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 od 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 od 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? od 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 od 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 od 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 od 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 od 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... od 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 od Ha, Richard, Chang, Peter, Karcich, Jenika, Mutasa, Simukayi, Pascual Van Sant, Eduardo, Liu, Michael Z., Jambawalikar, Sachin

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