Machine Learning in Medical Imaging von Giger, Maryellen L.

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Artificial intelligence in the interpretation of breast cancer on MRI von Sheth, Deepa, Giger, Maryellen L.

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A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets von Antropova, Natalia, Huynh, Benjamin Q., Giger, Maryellen L.

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A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI von Hu, Qiyuan, Whitney, Heather M., Giger, Maryellen L.

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Deep learning in medical imaging and radiation therapy von Sahiner, Berkman, Pezeshk, Aria, Hadjiiski, Lubomir M., Wang, Xiaosong, Drukker, Karen, Cha, Kenny H., Summers, Ronald M., Giger, Maryellen L.

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Artificial intelligence in cancer imaging: Clinical challenges and applications von Bi, Wenya Linda, Hosny, Ahmed, Schabath, Matthew B., Giger, Maryellen L., Birkbak, Nicolai J., Mehrtash, Alireza, Allison, Tavis, Arnaout, Omar, Abbosh, Christopher, Dunn, Ian F., Mak, Raymond H., Tamimi, Rulla M., Tempany, Clare M., Swanton, Charles, Hoffmann, Udo, Schwartz, Lawrence H., Gillies, Robert J., Huang, Raymond Y., Aerts, Hugo J. W. L.

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Digital mammographic tumor classification using transfer learning from deep convolutional neural networks von Huynh, Benjamin Q, Li, Hui, Giger, Maryellen L

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MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays von Li, Hui, Zhu, Yitan, Burnside, Elizabeth S, Drukker, Karen, Hoadley, Katherine A, Fan, Cheng, Conzen, Suzanne D, Whitman, Gary J, Sutton, Elizabeth J, Net, Jose M, Ganott, Marie, Huang, Erich, Morris, Elizabeth A, Perou, Charles M, Ji, Yuan, Giger, Maryellen L

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Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century von El Naqa, Issam, Haider, Masoom A, Giger, Maryellen L, Ten Haken, Randall K

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Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma von Zhu, Yitan, Li, Hui, Guo, Wentian, Drukker, Karen, Lan, Li, Giger, Maryellen L., Ji, Yuan

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Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images von Durkee, Madeleine S., Abraham, Rebecca, Clark, Marcus R., Giger, Maryellen L.

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Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma von Li, Hui, Mendel, Kayla R, Lan, Li, Sheth, Deepa, Giger, Maryellen L

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Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer von Giger, Maryellen L, Karssemeijer, Nico, Schnabel, Julia A

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Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method von Whitney, Heather M, Li, Hui, Yu, Ji, Liu, Peifang, Giger, Maryellen L

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A review of explainable and interpretable AI with applications in COVID‐19 imaging von Fuhrman, Jordan D., Gorre, Naveena, Hu, Qiyuan, Li, Hui, El Naqa, Issam, Giger, Maryellen L.

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Specific in situ inflammatory states associate with progression to renal failure in lupus nephritis von Abraham, Rebecca, Durkee, Madeleine S, Ai, Junting, Veselits, Margaret, Casella, Gabriel, Asano, Yuta, Chang, Anthony, Ko, Kichul, Oshinsky, Charles, Peninger, Emily, Giger, Maryellen L, Clark, Marcus R

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Criteria for the translation of radiomics into clinically useful tests von Huang, Erich P., O’Connor, James P. B., McShane, Lisa M., Giger, Maryellen L., Lambin, Philippe, Kinahan, Paul E., Siegel, Eliot L., Shankar, Lalitha K.

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Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI von Ji, Yu, Whitney, Heather M, Li, Hui, Liu, Peifang, Giger, Maryellen L, Zhang, Xuening

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Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks von Antropova, Natalia, Abe, Hiroyuki, Giger, Maryellen L

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Construction of a digital fetus library for radiation dosimetry von Qu, Shuiyin, Xie, Tianwu, Giger, Maryellen L., Mao, Xianqing, Zaidi, Habib

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