Mollura, Daniel J.

Deep convolutional neural networks for computer-aided detection: cnn architectures, dataset characteristics and transfer learning

Shin, H.-C., Roth, H. R., Gao, M., Lu, L., Xu, Z., Nogues, I., Yao, J., Mollura, D., & Summers, R. M. (2016) · IEEE Transactions on Medical Imaging

AI in cancer detectionAdvanced Neural Network Applications

Cited by 5,759

Pulmonary Pathologic Findings of Fatal 2009 Pandemic Influenza A/H1N1 Viral Infections

Gill, J. R., Sheng, Z.-M., Ely, S. F., Guinee, D. G., Beasley, M. B., Suh, J., Deshpande, C., Mollura, D. J., Morens, D. M., Bray, M., et al. (2010) · Archives of Pathology & Laboratory Medicine

Influenza Virus Research StudiesRespiratory viral infections research

Cited by 426

Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology

Mollura, D. J., Culp, M. P., Pollack, E., Battino, G., Scheel, J. R., Mango, V. L., Elahi, A., Schweitzer, A., & Dako, F. (2020) · Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 228

Segmentation label propagation using deep convolutional neural networks and dense conditional random field

Gao, M., Xu, Z., Lu, L., Wu, A., Nogues, I., Summers, R. M., & Mollura, D. J. (2016) · 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 48