A next-generation, histological atlas of the human brain and its application to automated brain MRI segmentation.

Autor: Casamitjana A; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.; Research Institute of Computer Vision and Robotics, University of Girona, Girona, Spain., Mancini M; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.; Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Italian National Institute of Health, Rome, Italy.; Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom., Robinson E; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom., Peter L; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom., Annunziata R; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom., Althonayan J; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom., Crampsie S; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom., Blackburn E; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom., Billot B; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States., Atzeni A; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom., Puonti O; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark.; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States., Balbastre Y; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States., Schmidt P; Advanced Research Computing Centre, University College London, London, United Kingdom., Hughes J; Advanced Research Computing Centre, University College London, London, United Kingdom., Augustinack JC; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States., Edlow BL; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States., Zöllei L; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States., Thomas DL; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom., Kliemann D; Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States., Bocchetta M; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.; Centre for Cognitive and Clinical Neuroscience, Division of Psychology, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, United Kingdom., Strand C; Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom., Holton JL; Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom., Jaunmuktane Z; Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom., Iglesias JE; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States.; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Sep 06. Date of Electronic Publication: 2024 Sep 06.

Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.

Autor: Atzeni A; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK. Electronic address: alessia.atzeni.14@ucl.ac.uk., Peter L; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK., Robinson E; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK., Blackburn E; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK., Althonayan J; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK., Alexander DC; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK., Iglesias JE; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA.

Publikováno v: Medical image analysis [Med Image Anal] 2022 Oct; Vol. 81, pp. 102549. Date of Electronic Publication: 2022 Jul 24.

Divisional review of the nurse specialist role.

Autor: Latter KA; Innovation and development and assistant divisional nurse, Division of Cancer and Associated Specialities, Nottingham University Hospitals NHS Trust, England., Purser S; Clinical Support Division, Nottingham University Hospitals NHS Trust, England., Chisholm S; Nottingham University Hospitals NHS Trust, England., Robinson E; Nottingham University Hospitals NHS Trust, England.

Publikováno v: Nursing standard (Royal College of Nursing (Great Britain) : 1987) [Nurs Stand] 2019 Apr 26; Vol. 34 (5), pp. 31-34.