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M. Jorge Cardoso

  1. MONAI: An open-source framework for deep learning in healthcare
    2022/11/04 by M. Jorge Cardoso, Cardoso, M. Jorge, Wenqi Li +109 · 94 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
  2. The future of digital health with federated learning
    2020/09/14 by Nicola Rieke, Jonny Hancox, Wenqi Li +14 · 59 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data
  3. A large annotated medical image dataset for the development and evaluation of segmentation algorithms
    2019/02/25 by Amber L. Simpson, Simpson, Amber L., Michela Antonelli +45 · 59 citations
    Medicine · Computer Science · #COVID-19 diagnosis using AI #Advanced Neural Network Applications #Radiomics and Machine Learning in Medical Imaging
  4. Brain Imaging Generation with Latent Diffusion Models
    2022/09/15 by Walter Hugo Lopez Pinaya, Pinaya, Walter H. L., Petru-Daniel Tudosiu +13 · 36 citations
    Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning in Healthcare #Quantitative Methods (q-bio.QM) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  5. Denoising diffusion models for out-of-distribution detection
    2022/11/14 by Mark S. Graham, Walter Hugo Lopez Pinaya, Graham, Mark S. +9 · 14 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare
  6. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
    2023/08/11 by Karim Lekadir, Aasa Feragen, Lekadir, Karim +214 · 14 citations
    Economics, Econometrics and Finance · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Ethics in Clinical Research #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #I.2.0 #I.4.0 #I.5.0 #Machine Learning (cs.LG)
  7. Generative AI for Medical Imaging: extending the MONAI Framework
    2023/07/27 by Walter Hugo Lopez Pinaya, Walter H. L. Pinaya, Pinaya, Walter H. L. +49 · 1 voice · 12 citations
    Computer Science · Engineering · #AI in cancer detection #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare #cs.CV #eess.IV
  8. Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
    2021/11/29 by Guilherme Pombo, Pombo, Guilherme, Robert M. Gray +11 · 8 citations
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare
  9. Common Limitations of Image Processing Metrics:A Picture Story
    2021/04/12 by Annika Reinke, Minu D. Tizabi, Reinke, Annika +124 · 4 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  10. InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
    2023/08/23 by Jueqi Wang, Jacob Levman, Wang, Jueqi +9 · 4 citations
    Medicine · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #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 #electronic engineering #information engineering
  11. Morphology-preserving Autoregressive 3D Generative Modelling of the Brain
    2022/09/07 by Petru-Daniel Tudosiu, Tudosiu, Petru-Daniel, Walter Hugo Lopez Pinaya +23 · 3 citations
    Computer Science · #68T99 (Primary) 92C55 (Secondary) #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 #I.2.1 #Image and Video Processing (eess.IV) #J.3 #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #electronic engineering #information engineering
  12. Federated learning for medical imaging radiology
    2023/09/25 by Muhammad Habib ur Rehman, Walter Hugo Lopez Pinaya, Parashkev Nachev +5 · 3 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Privacy-Preserving Technologies in Data #Radiomics and Machine Learning in Medical Imaging
  13. Privacy-preserving Federated Brain Tumour Segmentation
    2019/10/02 by Wenqi Li, Li, Wenqi, Fausto Milletarì +19 · 2 citations
    Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Radiomics and Machine Learning in Medical Imaging
  14. Current State of Community-Driven Radiological AI Deployment in Medical Imaging
    2022/12/29 by Vikas Gupta, Gupta, Vikash, Barbaros S. Erdal +49 · 2 citations
    Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Radiology practices and education #Radiomics and Machine Learning in Medical Imaging #eess.IV #electronic engineering #information engineering
  15. Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
    2024/09/26 by Evangelia Christodoulou, Annika Reinke, Christodoulou, Evangelia +44 · 1 voice · 2 citations
    Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education
  16. Deep gray matter volume loss drives disability worsening in multiple sclerosis
    2018/01/13 by Arman Eshaghi, Ferrán Prados, Ferran Prados +35 · 1 citation
    Medicine · #Long-Term Effects of COVID-19 #Multiple Sclerosis Research Studies #Peripheral Neuropathies and Disorders
  17. Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
    2020/02/13 by Petru-Daniel Tudosiu, Thomas Varsavsky, Tudosiu, Petru-Daniel +13 · 1 citation
    Computer Science · Medicine · #Medical Image Segmentation Techniques #Advanced Neuroimaging Techniques and Applications #Advanced Vision and Imaging
  18. An MRF-UNet Product of Experts for Image Segmentation
    2021/04/12 by Mikael Brudfors, Yaël Balbastre, Brudfors, Mikael +11 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis
  19. Deep forecasting of translational impact in medical research
    2021/10/17 by Amy PK Nelson, Nelson, Amy PK, Malcolm H. Ray +23 · 1 citation
    Computer Science · Decision Sciences · #Digital Libraries (cs.DL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Meta-analysis and systematic reviews #scientometrics and bibliometrics research
  20. Biomechanical modelling of brain atrophy through deep learning
    2020/12/14 by Mariana da Silva, da Silva, Mariana, Kara Garcia +9 · 1 citation
    Computer Science · Engineering · Medicine · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Medical Imaging and Analysis #Tissues and Organs (q-bio.TO) #electronic engineering #information engineering
  21. Transformer-based normative modelling for anomaly detection of early schizophrenia
    2022/12/08 by Pedro F. da Costa, Jessica Dafflon, Da Costa, Pedro F +13 · 1 citation
    Computer Science · Neuroscience · Psychology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning in Healthcare #Mental Health Research Topics
  22. Cortical Surface Diffusion Generative Models
    2024/02/07 by Zhenshan Xie, Xie, Zhenshan, Simon Dahan +7 · 1 citation
    Computer Science · Neuroscience · #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 #Visual perception and processing mechanisms #electronic engineering #information engineering