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Showing 1 - 4 of
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Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (Paperback, 1st ed. 2022)
Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, …
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R1,652
Discovery Miles 16 520
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 5th
International Workshop on Machine Learning in Clinical
Neuroimaging, MLCN 2022, held in Conjunction with MICCAI 2022,
Singapore in September 2022. The book includes 17 papers which were
carefully reviewed and selected from 23 full-length submissions.
The 5th international workshop on Machine Learning in Clinical
Neuroimaging (MLCN2022) aims to bring together the top researchers
in both machine learning and clinical neuroscience as well as
tech-savvy clinicians to address two main challenges: 1)
development of methodological approaches for analyzing complex and
heterogeneous neuroimaging data (machine learning track); and 2)
filling the translational gap in applying existing machine learning
methods in clinical practices (clinical neuroimaging track). The
papers are categorzied into topical sub-headings: Morphometry;
Diagnostics, and Aging, and Neurodegeneration.
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Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings (Paperback, 1st ed. 2021)
Ahmed Abdulkadir, Seyed Mostafa Kia, Mohamad Habes, Vinod Kumar, Jane Maryam Rondina, …
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R1,651
Discovery Miles 16 510
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 4th
International Workshop on Machine Learning in Clinical
Neuroimaging, MLCN 2021, held on September 27, 2021, in conjunction
with MICCAI 2021. The workshop was held virtually due to the
COVID-19 pandemic. The 17 papers presented in this book were
carefully reviewed and selected from 27 submissions. They were
organized in topical sections named: computational anatomy and
brain networks and time series.
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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings (Paperback, 1st ed. 2020)
Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, …
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R1,566
Discovery Miles 15 660
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Third
International Workshop on Machine Learning in Clinical
Neuroimaging, MLCN 2020, and the Second International Workshop on
Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction
with MICCAI 2020, in Lima, Peru, in October 2020.*For MLCN 2020, 18
papers out of 28 submissions were accepted for publication. The
accepted papers present novel contributions in both developing new
machine learning methods and applications of existing methods to
solve challenging problems in clinical neuroimaging. For RNO-AI
2020, all 8 submissions were accepted for publication. They focus
on addressing the problems of applying machine learning to large
and multi-site clinical neuroimaging datasets. The workshop aimed
to bring together experts in both machine learning and clinical
neuroimaging to discuss and hopefully bridge the existing
challenges of applied machine learning in clinical neuroscience.
*The workshops were held virtually due to the COVID-19 pandemic.
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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings (Paperback, 1st ed. 2019)
Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, …
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Second
International Workshop on Context-Aware Surgical Theaters, OR 2.0
2019, and the Second International Workshop on Machine Learning in
Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI
2019, in Shenzhen, China, in October 2019. For OR 2.0 all 6
submissions were accepted for publication. They aim to highlight
the potential use of machine vision and perception, robotics,
surgical simulation and modeling, multi-modal data fusion and
visualization, image analysis, advanced imaging, advanced display
technologies, human-computer interfaces, sensors, wearable and
implantable electronics and robots, visual attention models,
cognitive models, decision support networks to enhance surgical
procedural assistance, context-awareness and team communication in
the operating theater, human-robot collaborative systems, and
surgical training and assessment. MLCN 2019 accepted 6 papers out
of 7 submissions for publication. They focus on addressing the
problems of applying machine learning to large and multi-site
clinical neuroimaging datasets. The workshop aimed to bring
together experts in both machine learning and clinical neuroimaging
to discuss and hopefully bridge the existing challenges of applied
machine learning in clinical neuroscience.
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