The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net
- Michal Chorev
- Yoel Shoshan
- et al.
- 2020
- MICCAI 2020
Conference paper
Publications
26915 results for Science
Multi-task learning for detection and classification of cancer in screening mammography
- Maria Sainz de Cea
- Karl Diedrich
- et al.
- 2020
- MICCAI 2020
Conference paperPerfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
- Sergiy Zhuk
- Jonathan Epperlein
- et al.
- 2020
- MICCAI 2020
Conference paperMultimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment
- Simona Rabinovici-Cohen
- Ami Abutbul
- et al.
- 2020
- MICCAI 2020
Workshop paperImproving the Performance and Explainability of Mammogram Classifiers with Local Annotations
- Lior Ness
- Ella Barkan
- et al.
- 2020
- MICCAI 2020
Workshop paperDDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
- Jayaraman J. Thiagarajan
- Deepta Rajan
- et al.
- 2020
- Scientific Reports
PaperAdverse drug event detection using reason assignments in FDA drug labels
- Corey Sutphin
- Kahyun Lee
- et al.
- 2020
- Journal of Biomedical Informatics
PaperQuantum-Enhanced Simulation-Based Optimization
- Julien Gacon
- Christa Zoufal
- et al.
- 2020
- QCE 2020
Conference paperA model for the simulation of the CnEm nonionic surfactant family derived from recent experimental results
- Michael Johnston
- Andrew Ian Duff
- et al.
- 2020
- Journal of Physical Chemistry B
PaperSimplifying Neural Networks via Look Up Tables and Product of Sums Matrix Factorizations
- 2020
- ISCAS 2020
Talk