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Maria V. Sainz de Cea

María V. Sainz de Cea

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Journal Articles

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2017
[j1]
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Maria V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang:
Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications. IEEE Trans. Medical Imaging 36(5): 1162-1171 (2017)

Conference and Workshop Papers

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2021
[c11]
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María V. Sainz de Cea, David Gruen, David Richmond:
Pneumoperitoneum Detection In Chest X-Ray By A Deep Learning Ensemble With Model Explainability. ISBI 2021: 1637-1641
2020
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Chao Song, Maria V. Sainz de Cea, David Richmond:
Reading Mammography with Multiple Prior Exams. ISBI 2020: 1116-1119
[c9]
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Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond:
Multi-task Learning for Detection and Classification of Cancer in Screening Mammography. MICCAI (6) 2020: 241-250
2019
[c8]
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María V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang:
Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms. ISBI 2019: 1061-1064
2018
[c7]
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Maria V. Sainz de Cea, Yongyi Yang, Robert M. Nishikawa:
Reducing the effect of false positives in classification of detected clustered microcalcifications. ISBI 2018: 253-256
[c6]
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Yao Nie, Maria V. Sainz de Cea:
Single stain normalization for IHC whole slide images. Medical Imaging: Digital Pathology 2018: 1058104
2017
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Maria V. Sainz de Cea, Yongyi Yang:
Point process modeling for determining detection accuracy of mammographic microcalcifications. ICIP 2017: 1357-1361
[c4]
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Maria V. Sainz de Cea, Yongyi Yang:
Estimating the level of false positives in detection of microcalcifications in mammogram images. ISBI 2017: 978-981
2016
[c3]
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Maria V. Sainz de Cea, Yongyi Yang:
Case-based decision strategy using outlier probability in detection of microcalcifications in mammographic lesions. ICIP 2016: 3409-3413
2015
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Maria V. Sainz de Cea, Yongyi Yang:
Improving uniformity in detection performance of clustered microcalcifications in mammograms. ICIP 2015: 842-846
[c1]
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Maria V. Sainz de Cea, Yongyi Yang:
Case-adaptive decision rule for detection of clustered microcalcifications in mammograms. ISBI 2015: 1147-1150

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