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Md Mahfuzur Rahman Siddiquee

  1. UNet++: A Nested U-Net Architecture for Medical Image Segmentation
    2018/07/18 by Zongwei Zhou, Zhou, Zongwei, Md Mahfuzur Rahman Siddiquee +5 · 179 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI
  2. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
    2019/08/16 by Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Siddiquee, Md Mahfuzur Rahman +11 · 1 citation
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  3. Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
    2023/02/18 by Md Mahfuzur Rahman Siddiquee, Siddiquee, Md Mahfuzur Rahman, Jay Shah +13 · 2 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #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) #Machine Learning (cs.LG) #Machine Learning in Healthcare #electronic engineering #information engineering
  4. HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease
    2022/09/05 by Md Mahfuzur Rahman Siddiquee, Jay Shah, Siddiquee, Md Mahfuzur Rahman +9 · 1 citation
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #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) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering