Batmanghelich, Kayhan
University of Pittsburgh
3 papers on CoChatORCID 0000-0001-9893-9136
Most cited papers
- Verified
Deep Ordinal Regression Network for Monocular Depth Estimation
Fu, H., Gong, M., Wang, C., Batmanghelich, K., & Tao, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Advanced Vision and ImagingAdvanced Neural Network Applications
Cited by 1,991
- Verified
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · Apollo - University of Cambridge Repository
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 1,441
- Verified
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge
Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · arXiv
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 1,441
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