Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound von Drukker, K., Sennett, C.A., Giger, M.L.

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Guest editorial computer-aided diagnosis in medical imaging von Giger, M.L., Karssemeijer, N., Armato, S.G.

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Ideal observer approximation using Bayesian classification neural networks von Kupinski, M.A., Edwards, D.C., Giger, M.L., Metz, C.E.

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Computer-aided diagnosis of breast lesions in medical images von Giger, M.L.

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Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis von Zhimin Huo, Giger, M.L., Vyborny, C.J.

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Incorporating Longitudinal Screening Data into Image-Based Breast Cancer Risk Assessment von Wagner, T, Klanecek, Z, Wang, Y.K, Cockmartin, L, Marshall, N, Studen, A, Jeraj, R, Bosmans, H

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Longitudinal Analysis of Micro-Calcifications Features for Breast Cancer Risk Prediction with the Mirai Model von Wang, Y.K, Klanecek, Z, Wagner, T, Cockmartin, L, Marshall, N.W, Studen, A, Jeraj, R, Bosmans, H

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Characterization of invasive breast cancer lesions in breast x-ray imaging: a reference dataset for virtual imaging trials von Keupers, M, Houbrechts, K, Cockmartin, L, Bosmans, H, Van Ongeval, C

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Longitudinal Interpretability of Deep Learning- based Breast Cancer Risk Prediction Model: Comparison of Different Attribution Methods von Klanecek, Zan, Wang, Yao-Kuan, Wagner, Tobias, Cockmartin, Lesley, Marshall, Nicholas, Schott, Brayden, Deatsch, Ali, Studen, Andrej, Hertl, Kristijana, Jarm, Katja, Krajc, Mateja, Vrhovec, Milos, Bosmans, Hilde, Jeraj, Robert

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Simulated image-specific microcalcification clusters and associated mass enhancement to enhance training of a deep learning model for cancer detection in contrast-enhanced mammogra... von Van Camp, Astrid, Woodruff, Henry C, Cockmartin, Lesley, Marshall, Nicholas W, Bosmans, Hilde, Lambin, Philippe

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Automated seeded lesion segmentation on digital mammograms von Kupinski, M.A., Giger, M.L.

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Computerized mass detection for digital breast tomosynthesis directly from the projection images von Reiser, I., Nishikawa, R. M., Giger, M. L., Wu, T., Rafferty, E. A., Moore, R., Kopans, D. B.

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OP0136 BCL-2 As a Potential Therapeutic Target in Human Lupus Tubulointerstitial Inflammation von Wang, L.C., Ko, K., Yanez, D., Kaverina, N., Liarski, V.M., Peng, Y., Lan, L., Perper, S., Schwartz, A., O'Connor, L., Souers, A., Elmore, S., Olson, L., Giger, M.L., Clark, M.

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A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications von Weijie Chen, Metz, C.E., Giger, M.L., Drukker, K.

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Po-topic III-09 von Giger, M.L., Horsch, K., Vyborny, C.J., Lan, L.

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Po-topic III-09: Multimodality cad for breast cancer diagnosis von Giger, M.L., Horsch, K., Vyborny, C.J., Lan, L.

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A multi-scale 3D radial gradient filter for computerized mass detection in digital tomosynthesis breast images von Reiser, I., Nishikawa, R.M., Giger, M.L., Kopans, D.B., Rafferty, E.A., Wu, T., Moore, R.

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Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering von Reiser, I., Nishikawa, R.M., Giger, M.L., Rafferty, E.A., Kopans, D.B., Moore, R., Wu, T.

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A fuzzy c-means (FCM) based algorithm for intensity inhomogeneity correction and segmentation of MR images von Chen, W., Giger, M.L.

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Investigation of regularized neural networks for the computerized detection of mass lesions in digital mammograms von Kupinski, M.A., Giger, M.L.

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