| Multi-task learning for detection and classification of cancer in screening mammography MV Sainz de Cea, K Diedrich, R Bakalo, L Ness, D Richmond Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 24 | 2020 |
| Estimating the accuracy level among individual detections in clustered microcalcifications MV Sainz de Cea, RM Nishikawa, Y Yang IEEE transactions on medical imaging 36 (5), 1162-1171, 2017 | 18 | 2017 |
| Automatic assay assessment and normalization for image processing Y Nie, MVS de Cea US Patent 11,380,085, 2022 | 7 | 2022 |
| Artifact removal in medical imaging DM Sargent, SY Park, MVS de Cea, D Richmond US Patent 11,151,703, 2021 | 5 | 2021 |
| Single stain normalization for IHC whole slide images MV Sainz de Cea, Y Nie Medical Imaging 2018: Digital Pathology 10581, 1058104, 2018 | 5* | 2018 |
| Case-adaptive decision rule for detection of clustered microcalcifications in mammograms MV Sainz de Cea, Y Yang Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, 1147-1150, 2015 | 5* | 2015 |
| Pneumoperitoneum detection in chest X-ray by a deep learning ensemble with model explainability MVS de Cea, D Gruen, D Richmond 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1637-1641, 2021 | 4 | 2021 |
| Improving uniformity in detection performance of clustered microcalcifications in mammograms MV Sainz de Cea, Y Yang Image Processing (ICIP), 2015 IEEE International Conference on, 842-846, 2015 | 4* | 2015 |
| Deep learning modeling using health screening images A Mohamed, MVS de Cea, D Richmond US Patent 11,734,819, 2023 | 2 | 2023 |
| Reducing the effect of false positives in classification of detected clustered microcalcifications MV Sainz de Cea, Y Yang, RM Nishikawa Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 2* | 2018 |
| Locally adaptive decision in detection of clustered microcalcifications in mammograms MV Sainz de Cea, RM Nishikawa, Y Yang Physics in Medicine and Biology, 2018 | 2 | 2018 |
| Evaluating a mammogram using a plurality of prior mammograms and deep learning algorithms MVS de Cea, D Richmond, C Song US Patent 11,308,619, 2022 | 1 | 2022 |
| Deep learning models using locally and globally annotated training images MVS de Cea, D Richmond US Patent App. 16/940,695, 2022 | 1 | 2022 |
| Reading mammography with multiple prior exams C Song, MVS de Cea, D Richmond 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1116-1119, 2020 | 1 | 2020 |
| Point process modeling for determining detection accuracy of mammographic microcalcifications MV Sainz de Cea, Y Yang Image Processing (ICIP), 2017 IEEE International Conference on, 1357-1361, 2017 | 1* | 2017 |
| Estimating the level of false positives in detection of microcalcifications in mammogram images MV Sainz de Cea, Y Yang Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on …, 2017 | 1* | 2017 |
| Case-based decision strategy using outlier probability in detection of microcalcifications in mammographic lesions MV Sainz de Cea, Y Yang Image Processing (ICIP), 2016 IEEE International Conference on, 3409-3413, 2016 | 1* | 2016 |
| Treatment planning based on multimodal case similarity D Richmond, A Katouzian, MVS de Cea, SY PARK US Patent 11,830,183, 2023 | | 2023 |
| Automatic assay assessment and normalization for image processing Y Nie, MVS de Cea US Patent App. 18/326,716, 2023 | | 2023 |
| Automatic assay assessment and normalization for image processing Y Nie, MVS de Cea US Patent 11,715,557, 2023 | | 2023 |
David RichmondAI and Machine Learning ScientistVerified email at gene.com
