Seff, Ari

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

Chen, C., Seff, A., Kornhauser, A., & Xiao, J. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Autonomous Vehicle Technology and SafetyReinforcement Learning in Robotics

Cited by 1,876

Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation

Roth, H. R., Lu, L., Liu, J., Yao, J., Seff, A., Cherry, K., Kim, L., & Summers, R. M. (2016) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 608

Anatomy-specific classification of medical images using deep convolutional nets

Roth, H. R., Lee, C. T., Shin, H.-C., Seff, A., Kim, L., Yao, J., Lu, L., & Summers, R. M. (2015) · 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)

Medical Imaging and AnalysisRadiomics and Machine Learning in Medical Imaging

Cited by 188

Interleaved text/image Deep Mining on a large-scale radiology database

Shin, H.-C., Lu, L., Kim, L., Seff, A., Yao, J., & Summers, R. M. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 94

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection

Seff, A., Lu, L., Barbu, A., Roth, H., Shin, H.-C., & Summers, R. M. (2015) · Lecture Notes in Computer Science

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 36