Khened, Mahendra

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 · 46 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. A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
   2020/01/01 by Khened, Mahendra, Kori, Avinash, Rajkumar, Haran +2 · 4 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Tissues and Organs (q-bio.TO) #electronic engineering #information engineering
3. Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
   2018/01/16 by Khened, Mahendra, Kollerathu, Varghese Alex, Krishnamurthi, Ganapathy · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
4. Brain Tumor Segmentation and Survival Prediction using Automatic Hard\n mining in 3D CNN Architecture
   2021/01/05 by Vikas Kumar Anand, Anand, Vikas Kumar, Sanjeev Grampurohit +11 · 3 citations
   Computer Science · Engineering · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging and Analysis #electronic engineering #information engineering