Evaluation of deep learning-based reconstruction late gadolinium enhancement images for identifying patients with clinically unrecognized myocardial infarction
Authors (first, second and last of 10)
Collection
Fast and high-resolution medical imaging
This collection welcomes articles presenting advances in resolution for imaging technologies of clinical relevance for any medical area (neuroscience, cardiology, oncology, surgery…). This includes but is not limited to novel developments of techniques, materials, and protocols able to achieve a higher resolution, with particular attention to their diagnostic value. Comparative studies are also warmly welcomed.
Editors
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Kanika Bhalla
Kanika Bhalla received a Ph.D. degree in electrical engineering and computer science from the National Taipei University of Technology, Taipei, Taiwan. She is currently a postdoctoral research associate at the Washington University School of Medicine in St. Louis, Missouri, in the United States. Her current research interests include machine learning, deep learning modelling, fuzzy systems design and modelling, medical image processing, computer vision, pattern recognition, segmentation, defects detection, and multimodality image fusion.
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Satya VVN Kothapalli
Satya VVN Kothapalli received Ph.D. in the Department of Medical Imaging at the School of Technology and Health, STH, Royal Institute of Technology-KTH in Stockholm, Sweden. He is working as a Staff Scientist in the Department of Radiology at Washington University School of Medicine, Saint Louis. He is currently involving in fields of quantitative magnetic resonance imaging for assessing the neuronal damage in neurodegenerative diseases in the brain.
Articles (14 in this collection)
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Refining neural network algorithms for accurate brain tumor classification in MRI imagery
Authors (first, second and last of 7)
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Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor
Authors (first, second and last of 7)
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Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework
Authors (first, second and last of 7)
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Clinical application of high-resolution spiral CT scanning in the diagnosis of auriculotemporal and ossicle
Authors (first, second and last of 5)
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Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics
Authors (first, second and last of 5)
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Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology
Authors (first, second and last of 5)
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A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study
Authors (first, second and last of 10)
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A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Authors (first, second and last of 6)
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Elective one-minute full brain multi-contrast MRI versus brain CT in pediatric patients: a prospective feasibility study
Authors (first, second and last of 9)
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Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images
Authors (first, second and last of 9)
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DMF-Net: a deep multi-level semantic fusion network for high-resolution chest CT and X-ray image de-noising
Authors (first, second and last of 4)
