Karani, Neerav

1. Contrastive learning of global and local features for medical image\n segmentation with limited annotations
   2020/06/18 by Krishna Chaitanya, Chaitanya, Krishna, Ertunç Erdil +5 · 20 citations
   Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #MRI in cancer diagnosis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
2. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
   2021/12/17 by Chaitanya, Krishna, Erdil, Ertunc, Karani, Neerav +1 · 7 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)
3. A Lifelong Learning Approach to Brain MR Segmentation Across Scanners\n and Protocols
   2018/05/25 by Neerav Karani, Krishna Chaitanya, Karani, Neerav +5 · 5 citations
   Computer Science · Neuroscience · #Medical Image Segmentation Techniques #Brain Tumor Detection and Classification #Advanced Neural Network Applications
4. Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation
   2020/07/09 by Chaitanya, Krishna, Karani, Neerav, Baumgartner, Christian F. +4 · 2 citations
   #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
5. Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
   2020/07/09 by Volokitin, Anna, Erdil, Ertunc, Karani, Neerav +4 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
6. Sampling possible reconstructions of undersampled acquisitions in MR imaging
   2020/09/30 by Kerem Can Tezcan, Tezcan, Kerem C., Neerav Karani +5 · 1 citation
   Medicine · Physics and Astronomy · #Advanced MRI Techniques and Applications #Advanced X-ray Imaging Techniques #Applications (stat.AP) #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) #Medical Imaging Techniques and Applications #NMR spectroscopy and applications #Nuclear Physics and Applications #electronic engineering #information engineering