Turlapov, Vadim

1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
   2018/11/05 by Bakas, Spyridon, Reyes, Mauricio, Jakab, Andras +421 · 53 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Knowledge Distillation for Brain Tumor Segmentation
   2020/02/10 by Lachinov, Dmitrii, Shipunova, Elena, Turlapov, Vadim · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
3. Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data
   2020/07/20 by Lachinov, Dmitry, Getmanskaya, Alexandra, Turlapov, Vadim · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences