Corso, Jason J.

The multimodal brain tumor image segmentation benchmark (BRATS)

Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al. (2015) · IEEE Transactions on Medical Imaging

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 6,781

Unified Vision-Language Pre-Training for Image Captioning and VQA

Zhou, L., Palangi, H., Zhang, L., Hu, H., Corso, J., & Gao, J. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 864

End-to-End Dense Video Captioning with Masked Transformer

Zhou, L., Zhou, Y., Corso, J. J., Socher, R., & Xiong, C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 605

Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection

Sarikaya, D., Corso, J. J., & Guru, K. A. (2017) · IEEE Transactions on Medical Imaging

Surgical Simulation and TrainingAdvanced Neural Network Applications

Cited by 236

GPU-based cone beam computed tomography

Noël, P. B., Walczak, A. M., Xu, J., Corso, J. J., Hoffmann, K. R., & Schafer, S. (2010) · Computer Methods and Programs in Biomedicine

Dental Radiography and ImagingAdvanced X-ray and CT Imaging

Cited by 67