Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Shekhar S Chandra"'
Cascaded Multi-Modal Mixing Transformers for Alzheimer’s Disease Classification with Incomplete Data
Publikováno v:
NeuroImage, Vol 277, Iss , Pp 120267- (2023)
Accurate medical classification requires a large number of multi-modal data, and in many cases, different feature types. Previous studies have shown promising results when using multi-modal data, outperforming single-modality models when classifying
Externí odkaz:
https://doaj.org/article/9f11cd68a7264f0cbbd5b9a3a8639afd
Autor:
Siva Senthuran, Lewis Campbell, Jennifer Fleming, Virginia Newcombe, Michael Reade, Silvia Manzanero, James Walsham, Nathan Brown, Xuan Vinh To, Clifford Pollard, Fatima Nasrallah, Judith Bellapart, Esther Jacobson, Jason Meyer, Janine Stuart, Tracey Evans, Shekhar S Chandra, Jason Ross, James McCullough
Publikováno v:
BMJ Open, Vol 13, Iss 4 (2023)
Introduction Traumatic brain injury (TBI) is a heterogeneous condition with a broad spectrum of injury severity, pathophysiological processes and variable outcomes. For moderate-to-severe TBI survivors, recovery is often protracted and outcomes can r
Externí odkaz:
https://doaj.org/article/3f950540292844b3b14826ab1bcc2068
Autor:
Jessica M. Bugeja, Ying Xia, Shekhar S. Chandra, Nicholas J. Murphy, Jillian Eyles, Libby Spiers, Stuart Crozier, David J. Hunter, Jurgen Fripp, Craig Engstrom
Publikováno v:
Quantitative Imaging in Medicine and Surgery. 12:4924-4941
Femoroacetabular impingement (FAI) cam morphology is routinely assessed using manual measurements of two-dimensional (2D) alpha angles which are prone to high rater variability and do not provide direct three-dimensional (3D) data on these osseous fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8ec3fc8830fbd44c83b752346f33859
https://doi.org/10.21037/qims-22-332
https://doi.org/10.21037/qims-22-332
Publikováno v:
Journal of the American College of Radiology. 19:769-778
Only 10% of CT scans unveil positive findings in mild traumatic brain injury, raising concerns of its overuse in this population. A number of clinical rules have been developed to address this issue, but they still suffer limitations in their specifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::031924404b5c2934f2d4c46129316820
https://doi.org/10.1016/j.jacr.2022.02.024
https://doi.org/10.1016/j.jacr.2022.02.024
Autor:
Fatima Al Zegair, Brigid Betz-Stablein, Zongyuan Ge, Chantal Rutjes, H. Peter Soyer, Shekhar S. Chandra
Publikováno v:
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60f796cd5945631cf4966a8b417bec68
https://doi.org/10.1109/dicta56598.2022.10034588
https://doi.org/10.1109/dicta56598.2022.10034588
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Convolutional neural networks (CNN) have demonstrated outstanding Compressed Sensing (CS) performance compared to traditional, hand-crafted methods. However, they are broadly limited in terms of generalisability, inductive bias and difficulty to mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::015f473bbc479e51d63529ff11938274
https://doi.org/10.1109/icip46576.2022.9897630
https://doi.org/10.1109/icip46576.2022.9897630
Autor:
Shekhar S. Chandra, Xinwen Liu, Siyu Liu, Marlon Bran Lorenzana, Stuart Crozier, Steffen Bollmann
Publikováno v:
Journal of Medical Imaging and Radiation Oncology. 65:564-577
Magnetic resonance (MR) imaging visualises soft tissue contrast in exquisite detail without harmful ionising radiation. In this work, we provide a state-of-the-art review on the use of deep learning in MR image reconstruction from different image acq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db54bb356f85edf222c4a24f4ad9bae9
https://doi.org/10.1111/1754-9485.13276
https://doi.org/10.1111/1754-9485.13276
Autor:
Fatima Nasrallah, Judith Bellapart, James Walsham, Esther Jacobson, Xuan Vinh To, Silvia Manzanero, Nathan Brown, Jason Meyer, Janine Stuart, Tracey Evans, Shekhar S Chandra, Jason Ross, Lewis Campbell, Siva Senthuran, Virginia Newcombe, James McCullough, Jennifer Fleming, Clifford Pollard, Michael Reade
Publikováno v:
BMJ Open. 13:e067740
IntroductionTraumatic brain injury (TBI) is a heterogeneous condition with a broad spectrum of injury severity, pathophysiological processes and variable outcomes. For moderate-to-severe TBI survivors, recovery is often protracted and outcomes can ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af14b185ee0049c31ebf3afc53d14953
https://doi.org/10.1136/bmjopen-2022-067740
https://doi.org/10.1136/bmjopen-2022-067740
Publikováno v:
AI 2022: Advances in Artificial Intelligence ISBN: 9783031226946
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45a588772d1a801c0ebab30da7762412
https://doi.org/10.1007/978-3-031-22695-3_6
https://doi.org/10.1007/978-3-031-22695-3_6
Autor:
Zhen Yu, Toan Nguyen, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf8ce57ad0686df6fc41a4b033049a3c
https://doi.org/10.1007/978-3-031-16437-8_57
https://doi.org/10.1007/978-3-031-16437-8_57