Maria V. Sainz de Cea

According to our database, Maria V. Sainz de Cea authored at least 12 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Pneumoperitoneum Detection In Chest X-Ray By A Deep Learning Ensemble With Model Explainability.

María V. Sainz de Cea, David Gruen, David Richmond

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Reading Mammography with Multiple Prior Exams.

Chao Song, Maria V. Sainz de Cea, David Richmond

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms.

María V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Single stain normalization for IHC whole slide images.

Yao Nie, Maria V. Sainz de Cea

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Reducing the effect of false positives in classification of detected clustered microcalcifications.

Maria V. Sainz de Cea, Yongyi Yang, Robert M. Nishikawa

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

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

Estimating the level of false positives in detection of microcalcifications in mammogram images.

Maria V. Sainz de Cea, Yongyi Yang

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Point process modeling for determining detection accuracy of mammographic microcalcifications.

Maria V. Sainz de Cea, Yongyi Yang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Case-based decision strategy using outlier probability in detection of microcalcifications in mammographic lesions.

Maria V. Sainz de Cea, Yongyi Yang

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Case-adaptive decision rule for detection of clustered microcalcifications in mammograms.

Maria V. Sainz de Cea, Yongyi Yang

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Improving uniformity in detection performance of clustered microcalcifications in mammograms.

Maria V. Sainz de Cea, Yongyi Yang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015