Improving uniformity in detection performance of clustered microcalcifications in mammograms. - Maria V. Sainz de Cea; Yongyi Yang (ICIP, 2015)

Case-adaptive decision rule for detection of clustered microcalcifications in mammograms. - Maria V. Sainz de Cea; Yongyi Yang (ISBI, 2015)

Case-based decision strategy using outlier probability in detection of microcalcifications in mammographic lesions. - Maria V. Sainz de Cea; Yongyi Yang (ICIP, 2016)

Point process modeling for determining detection accuracy of mammographic microcalcifications. - Maria V. Sainz de Cea; Yongyi Yang (ICIP, 2017)

Estimating the level of false positives in detection of microcalcifications in mammogram images. - Maria V. Sainz de Cea; Yongyi Yang (ISBI, 2017)

Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications. - Maria V. Sainz de Cea; Robert M. Nishikawa; Yongyi Yang (IEEE Trans. Medical Imaging, 2017)

Reducing the effect of false positives in classification of detected clustered microcalcifications. - Maria V. Sainz de Cea; Yongyi Yang; Robert M. Nishikawa (ISBI, 2018)

Single stain normalization for IHC whole slide images. - Yao Nie; Maria V. Sainz de Cea (Digital Pathology, 2018)

Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms. - María V. Sainz de Cea; Robert M. Nishikawa; Yongyi Yang (ISBI, 2019)

Reading Mammography with Multiple Prior Exams. - Chao Song; Maria V. Sainz de Cea; David Richmond (ISBI, 2020)

Multi-task Learning for Detection and Classification of Cancer in Screening Mammography. - Maria V. Sainz de Cea; Karl Diedrich; Ran Bakalo; Lior Ness; David Richmond (MICCAI (6), 2020)

Pneumoperitoneum Detection In Chest X-Ray By A Deep Learning Ensemble With Model Explainability. - María V. Sainz de Cea; David Gruen; David Richmond (ISBI, 2021)