A Pivotal Study of Optoacoustic Imaging to Diagnose Benign and Malignant Breast Masses: A New Evaluation Tool for Radiologists
Neuschler, Erin I, Butler, Reni, Young, Catherine A, Barke, Lora D, Bertrand, Margaret L, Böhm-Vélez, Marcela, Destounis, Stamatia, Donlan, Pamela, Grobmyer, Stephen R, Katzen, Janine, Kist, Kenneth A, Lavin, Philip T, Makariou, Erini V, Parris, Tchaiko M, Schilling, Kathy J, Tucker, F Lee, Dogan, Basak E
Published in Radiology (01.05.2018)
Published in Radiology (01.05.2018)
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Exploring the Utility of Optoacoustic Imaging in Differentiation of Benign and Malignant Breast Masses: Gen 2 Study
Ghannam, Sammar, Koneru, Varshaa, Karabon, Patrick, Darling, Rachel, Kist, Kenneth A, Otto, Pamela, Van, Thanh
Published in Academic radiology (19.10.2024)
Published in Academic radiology (19.10.2024)
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Optoacoustic Breast Imaging: Imaging-Pathology Correlation of Optoacoustic Features in Benign and Malignant Breast Masses
Butler, Reni, Lavin, Philip T, Tucker, F Lee, Barke, Lora D, Böhm-Vélez, Marcela, Destounis, Stamatia, Grobmyer, Stephen R, Katzen, Janine, Kist, Kenneth A, Makariou, Erini V, Schilling, Kathy J, Young, Catherine A, Dogan, Basak E, Neuschler, Erin I
Published in American journal of roentgenology (1976) (01.11.2018)
Published in American journal of roentgenology (1976) (01.11.2018)
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Downgrading and Upgrading Gray-Scale Ultrasound BI-RADS Categories of Benign and Malignant Masses With Optoacoustics: A Pilot Study
Neuschler, Erin I, Lavin, Philip T, Tucker, F Lee, Barke, Lora D, Bertrand, Margaret L, Böhm-Vélez, Marcela, Destounis, Stamatia, Dogan, Basak E, Grobmyer, Stephen R, Katzen, Janine, Kist, Kenneth A, Makariou, Erini V, Parris, Tchaiko M, Young, Catherine A, Butler, Reni
Published in American journal of roentgenology (1976) (01.09.2018)
Published in American journal of roentgenology (1976) (01.09.2018)
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A Deep Learning Decision Support Tool to Improve Risk Stratification and Reduce Unnecessary Biopsies in BI-RADS 4 Mammograms
Ezeana, Chika F, He, Tiancheng, Patel, Tejal A, Kaklamani, Virginia, Elmi, Maryam, Brigmon, Erika, Otto, Pamela M, Kist, Kenneth A, Speck, Heather, Wang, Lin, Ensor, Joe, Shih, Ya-Chen T, Kim, Bumyang, Pan, I-Wen, Cohen, Adam L, Kelley, Kristen, Spak, David, Yang, Wei T, Chang, Jenny C, Wong, Stephen T C
Published in Radiology. Artificial intelligence (01.11.2023)
Published in Radiology. Artificial intelligence (01.11.2023)
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An overview of breast MRI
Shahid, Hassan, Wiedenhoefer, James F, Dornbluth, Carol, Otto, Pamela, Kist, Kenneth A
Published in Applied radiology (1976) (01.10.2016)
Published in Applied radiology (1976) (01.10.2016)
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Abstract 5698: A multicenter study validated an integrated deep learning model for precision malignancy risk assessment and reducing unnecessary biopsies in BI-RADS 4 cases
Ezeana, Chika F., He, Tiancheng, Patel, Tejal A., Kaklamani, Virginia, Elmi, Maryam, Ibarra, Erica, Otto, Pamela M., Kist, Kenneth A., Speck, Heather, Wang, Lin, Ensor, Joe, Shih, Ya-Chen T., Kim, Bumyang, Pan, I-Wen, Spak, David, Yang, Wei T., Chang, Jenny C., Wong, Stephen T.
Published in Cancer research (Chicago, Ill.) (04.04.2023)
Published in Cancer research (Chicago, Ill.) (04.04.2023)
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