Egan, Gary

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 · 52 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 Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
   2021/11/26 by Peiris, Himashi, Hayat, Munawar, Chen, Zhaolin +2 · 5 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
3. Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation
   2021/08/25 by Peiris, Himashi, Chen, Zhaolin, Egan, Gary +1 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
4. Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
   2022/01/11 by Himashi Peiris, Peiris, Himashi, Zhaolin Chen +5 · 1 citation
   Computer Science · Medicine · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #COVID-19 diagnosis using AI #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
5. Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation
   2022/09/16 by Himashi Peiris, Peiris, Himashi, Munawar Hayat +7 · 1 citation
   Computer Science · 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 Image Segmentation Techniques #electronic engineering #information engineering
6. CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
   2023/06/01 by Mevan Ekanayake, Ekanayake, Mevan, Zhifeng Chen +7 · 1 citation
   Medicine · #Advanced MRI Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
7. SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
   2024/09/02 by Ekanayake, Mevan, Chen, Zhifeng, Egan, Gary +2 · 1 citation
   #Artificial Intelligence (cs.AI) #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