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Showing 1 - 9 of
9 matches in All Departments
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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings (Paperback, 1st ed. 2018)
Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer Syeda-Mahmood, Anne Martel, …
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R1,593
Discovery Miles 15 930
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Ships in 10 - 15 working days
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This book constitutes the refereed joint proceedings of the 4th
International Workshop on Deep Learning in Medical Image Analysis,
DLMIA 2018, and the 8th International Workshop on Multimodal
Learning for Clinical Decision Support, ML-CDS 2018, held in
conjunction with the 21st International Conference on Medical
Imaging and Computer-Assisted Intervention, MICCAI 2018, in
Granada, Spain, in September 2018. The 39 full papers presented at
DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were
carefully reviewed and selected from 85 submissions to DLMIA and 6
submissions to ML-CDS. The DLMIA papers focus on the design and use
of deep learning methods in medical imaging. The ML-CDS papers
discuss new techniques of multimodal mining/retrieval and their use
in clinical decision support.
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Medical Content-Based Retrieval for Clinical Decision Support - First MICCAI International Workshop, MCBR-CBS 2009, London, UK, September 20, 2009. Revised Selected Papers (Paperback, Edition.)
Henning Muller, Tanveer Syeda-Mahmood, James Duncan, Fei Wang, Jayashree Kalpathy-Cramer
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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We are pleased to present this set of peer-reviewed papers from the
?rst MICCAI Workshop on Medical Content-Based Retrieval for
Clinical Decision Support. The MICCAI conference has been the
?agship conference for the m- ical imaging community re?ecting the
state of the art in techniques of segm- tation, registration, and
robotic surgery. Yet, the transfer of these techniques to clinical
practice is rarely discussed in the MICCAI conference. To address
this gap, we proposed to hold this workshop with MICCAI in London
in September 2009. The goal of the workshop was to show the
application of content-based retrieval in clinical decision
support. With advances in electronic patient record systems, a
large number of pre-diagnosed patient data sets are now bec- ing
available. These data sets are often multimodal consisting of
images (x-ray, CT, MRI), videos and other time series, and textual
data (free text reports and structuredclinicaldata). Analyzing
thesemultimodalsourcesfordisease-speci?c information across
patients can reveal important similarities between patients and
hence their underlying diseases and potential treatments.
Researchers are now beginning to use techniques of content-based
retrieval to search for disea- speci?c information in modalities to
?nd supporting evidence for a disease or to automatically learn
associations of symptoms and diseases. Benchmarking frameworks such
as ImageCLEF (Image retrieval track in the Cross-Language
Evaluation Forum) have expanded over the past ?ve years to include
large m- ical image collections for testing various algorithms for
medical image retrieval and classi?cation.
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Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings (Paperback, 1st ed. 2022)
John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer Syeda-Mahmood, …
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R1,640
Discovery Miles 16 400
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Ships in 10 - 15 working days
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This book constitutes the refereed joint proceedings of the 1st
International Workshop on Ethical & Philosophical Issues in
Medical Imaging (EPIMI 2022); the 12th International Workshop on
Multimodal Learning and Fusion Across Scales for Clinical Decision
Support (ML-CDS 2022) and the 2nd International Workshop on
Topological Data Analysis for Biomedical Imaging
(TDA4BiomedicalImaging 2022), held in conjunction with the 25th
International Conference on Medical Imaging and Computer-Assisted
Intervention, MICCAI 2022, in Singapore, in September 2022.EPIMI
includes five short papers about various humanistic aspects of
medical image computing and computer-assisted interventions. The
ML-CDS papers discuss machine learning on multimodal data sets for
clinical decision support and treatment planning. The TDA papers
focus on Topological Data Analysis: a collection of techniques and
tools that have matured from an increasing interest in the role
topology plays in machine learning and data science.
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Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings (Paperback, 1st ed. 2021)
Tanveer Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, …
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R1,632
Discovery Miles 16 320
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This book constitutes the refereed joint proceedings of the 11th
International Workshop on Multimodal Learning for Clinical Decision
Support, ML-CDS 2021, held in conjunction with the 24th
International Conference on Medical Imaging and Computer-Assisted
Intervention, MICCAI 2021, in Strasbourg, France, in October 2021.
The workshop was held virtually due to the COVID-19 pandemic.The 10
full papers presented at ML-CDS 2021 were carefully reviewed and
selected from numerous submissions. The ML-CDS papers discuss
machine learning on multimodal data sets for clinical decision
support and treatment planning.
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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings (Paperback, 1st ed. 2020)
Tanveer Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, …
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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 joint proceedings of the 10th
International Workshop on Multimodal Learning for Clinical Decision
Support, ML-CDS 2020, and the 9th International Workshop on
Clinical Image-Based Procedures, CLIP 2020, held in conjunction
with the 23rd International Conference on Medical Imaging and
Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in
October 2020. The workshops were held virtually due to the COVID-19
pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full
papers presented at CLIP 2020 were carefully reviewed and selected
from numerous submissions to ML-CDS and 10 submissions to CLIP. The
ML-CDS papers discuss machine learning on multimodal data sets for
clinical decision support and treatment planning. The CLIP
workshops provides a forum for work centered on specific clinical
applications, including techniques and procedures based on
comprehensive clinical image and other data.
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings (Paperback, 1st ed. 2019)
Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, …
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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 joint proceedings of the Second
International Workshop on Interpretability of Machine Intelligence
in Medical Image Computing, iMIMIC 2019, and the 9th International
Workshop on Multimodal Learning for Clinical Decision Support,
ML-CDS 2019, held in conjunction with the 22nd International
Conference on Medical Imaging and Computer-Assisted Intervention,
MICCAI 2019, in Shenzhen, China, in October 2019. The 7 full papers
presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS
2019 were carefully reviewed and selected from 10 submissions to
iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus
on introducing the challenges and opportunities related to the
topic of interpretability of machine learning systems in the
context of medical imaging and computer assisted intervention. The
ML-CDS papers discuss machine learning on multimodal data sets for
clinical decision support and treatment planning.
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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, Proceedings (Paperback, 1st ed. 2017)
M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, Joao Manuel R.S. Tavares, …
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R3,146
Discovery Miles 31 460
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Ships in 10 - 15 working days
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This book constitutes the refereed joint proceedings of the Third
International Workshop on Deep Learning in Medical Image Analysis,
DLMIA 2017, and the 6th International Workshop on Multimodal
Learning for Clinical Decision Support, ML-CDS 2017, held in
conjunction with the 20th International Conference on Medical
Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec
City, QC, Canada, in September 2017. The 38 full papers presented
at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were
carefully reviewed and selected. The DLMIA papers focus on the
design and use of deep learning methods in medical imaging. The
ML-CDS papers discuss new techniques of multimodal mining/retrieval
and their use in clinical decision support.
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Medical Content-Based Retrieval for Clinical Decision Support - Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1st, 2012, Revised Selected Papers (Paperback, 2013 ed.)
Hayit Greenspan, Henning Muller, Tanveer Syeda-Mahmood
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R1,429
Discovery Miles 14 290
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Third MICCAI
Workshop on Medical Content-Based Retrieval for Clinical Decision
Support, MCBR-CBS 2012, held in Nice, France, in October 2012. The
10 revised full papers presented together with 2 invited talks were
carefully reviewed and selected from 15 submissions. The papers are
divided on several topics on image analysis of visual or multimodal
medical data (X-ray, MRI, CT, echo videos, time series data),
machine learning of disease correlations in visual or multimodal
data, algorithms for indexing and retrieval of data from visual or
multimodal medical databases, disease model-building and clinical
decision support systems based on visual or multimodal analysis,
algorithms for medical image retrieval or classification, systems
of retrieval or classification using the ImageCLEF collection.
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Medical Content-Based Retrieval for Clinical Decision Support - Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers (Paperback, 2012)
Henning Mueller, Hayit Greenspan, Tanveer Syeda-Mahmood
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R1,897
Discovery Miles 18 970
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Second MICCAI
Workshop on Medical Content-Based Retrieval for Clinical Decision
Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011.
The 11 revised full papers presented together with 2 invited talks
were carefully reviewed and selected from 17 submissions. The
papers are divided on several topics on medical image retrieval
with textual approaches, visual word based approaches, applications
and multidimensional retrieval.
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