Erdil, Ertunc

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. Explicitly Minimizing the Blur Error of Variational Autoencoders
   2023/04/12 by Gustav Bredell, Bredell, Gustav, Kyriakos Flouris +7 · 6 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Single-cell and spatial transcriptomics #electronic engineering #information engineering
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. Expert load matters: operating networks at high accuracy and low manual effort
   2023/08/09 by Sangalli, Sara, Erdil, Ertunc, Konukoglu, Ender · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
7. Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
   2024/09/12 by Kerem Cekmeceli, Cekmeceli, Kerem, Meva Himmetoglu +9 · 1 citation
   Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG)