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Julien Cohen‐Adad

  1. Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
    2018/11/14 by Christian S. Perone, Perone, Christian S., Pedro Ballester +7 · 11 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging #cs.CV
  2. The past, present, and future of the brain imaging data structure (BIDS)
    2023/09/11 by Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +132 · 2 voices · 10 citations
    Computer Science · Environmental Science · Neuroscience · #Computer science #Data science #Functional Brain Connectivity Studies #Health, Environment, Cognitive Aging #Machine Learning in Healthcare
  3. SoftSeg: Advantages of soft versus binary training for image segmentation
    2020/11/17 by Charley Gros, Andréanne Lemay, Gros, Charley +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Medicine · Neuroscience · #Brain Tumor Detection and Classification #MicroRNA in disease regulation #Radiomics and Machine Learning in Medical Imaging #cs.CV #eess.IV
  4. Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
    2023/01/25 by Reza Azad, Yiwei Jia, Azad, Reza +7 · 2 citations
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
  5. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
    2018/05/16 by Charley Gros, Gros, Charley, Benjamin De Leener +109 · 1 citation
    Computer Science · Engineering · Medicine · Neuroscience · #Bone and Joint Diseases #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis #cs.CV
  6. Tracking White and Gray Matter Degeneration along the Spinal Cord Axis in Degenerative Cervical Myelopathy
    2021/07/09 by Kevin Vallotton, Gergely David, Gergely Dávid +11 · 1 citation
    Medicine · #Cervical and Thoracic Myelopathy #Spinal Fractures and Fixation Techniques #Spine and Intervertebral Disc Pathology
  7. Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
    2022/10/27 by Enamundram Naga Karthik, Anne Kerbrat, Karthik, Enamundram Naga +19 · 1 citation
    Computer Science · Engineering · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Multiple Sclerosis Research Studies
  8. Deep Active Learning for Axon-Myelin Segmentation on Histology Data
    2019/07/11 by Melanie Lubrano di Scandalea, di Scandalea, Melanie Lubrano, Christian S. Perone +6 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Domain Adaptation and Few-Shot Learning #Molecular Biology Techniques and Applications #cs.CV #cs.LG
  9. Considerations and Recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging
    2022/09/26 by Ileana Jelescu, Francesco Grussu, Jelescu, Ileana O +111 · 1 citation
    Medicine · #Advanced Neuroimaging Techniques and Applications #Bone and Joint Diseases #FOS: Biological sciences #FOS: Physical sciences #MRI in cancer diagnosis #Medical Physics (physics.med-ph) #Tissues and Organs (q-bio.TO)