Multi-task learning for detection and classification of cancer in screening mammography
- Maria Sainz de Cea
- Karl Diedrich
- et al.
- 2020
- MICCAI 2020
Publications
1891 results for Impact Science
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
- Sergiy Zhuk
- Jonathan Epperlein
- et al.
- 2020
- MICCAI 2020
Fairness of Classifiers Across Skin Tones in Dermatology
- Newton Kinyanjui
- Timothy Odonga
- et al.
- 2020
- MICCAI 2020
Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning
- Dustin Sargent
- Sun Young Park
- et al.
- 2020
- MICCAI 2020
The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net
- Michal Chorev
- Yoel Shoshan
- et al.
- 2020
- MICCAI 2020
Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment
- Simona Rabinovici-Cohen
- Ami Abutbul
- et al.
- 2020
- MICCAI 2020
Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations
- Lior Ness
- Ella Barkan
- et al.
- 2020
- MICCAI 2020
DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
- Jayaraman J. Thiagarajan
- Deepta Rajan
- et al.
- 2020
- Scientific Reports
Adverse drug event detection using reason assignments in FDA drug labels
- Corey Sutphin
- Kahyun Lee
- et al.
- 2020
- Journal of Biomedical Informatics
Quantum-Enhanced Simulation-Based Optimization
- Julien Gacon
- Christa Zoufal
- et al.
- 2020
- QCE 2020