Author: Judith BrayPublisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 114
Book Description
CIHR/NSERC Medical Imaging Workshop Report
Author: Judith BrayPublisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 114
Book Description
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2012
Author: Nicholas AyachePublisher: Springer Science & Business Media
ISBN: 3642334156
Category : Computers
Languages : en
Pages : 807
Book Description
The three-volume set LNCS 7510, 7511, and 7512 constitutes the refereed proceedings of the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, held in Nice, France, in October 2012. Based on rigorous peer reviews, the program committee carefully selected 252 revised papers from 781 submissions for presentation in three volumes. The first volume includes 91 papers organized in topical sections on abdominal imaging, computer-assisted interventions and robotics; computer-aided diagnosis and planning; image reconstruction and enhancement; analysis of microscopic and optical images; computer-assisted interventions and robotics; image segmentation; cardiovascular imaging; and brain imaging: structure, function and disease evolution.
CIHR/NSERC Medical Imaging Workshop Report
Author: Judith BrayPublisher:
ISBN: 9781100150000
Category : Diagnostic imaging
Languages : en
Pages : 51
Book Description
Report of the OECD Workshop on the Safety of Manufactured Nanomaterials
Author: Machine Learning in Medical Imaging
Author: Kenji SuzukiPublisher: Springer
ISBN: 3642243193
Category : Computers
Languages : en
Pages : 383
Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, MLMI 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 44 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers focus on major trends in machine learning in medical imaging aiming to identify new cutting-edge techniques and their use in medical imaging.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
Author: Hayit GreenspanPublisher: Springer Nature
ISBN: 3030326896
Category : Computers
Languages : en
Pages : 202
Book Description
This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
IRSC/CRSNG, Atelier sur l'imagerie médicale
Author: Publisher:
ISBN: 9781100938448
Category : Diagnostic imaging
Languages : en
Pages :
Book Description
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Author: Marleen de BruijnePublisher: Springer Nature
ISBN: 3030872378
Category : Computers
Languages : en
Pages : 735
Book Description
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
Author: M. Jorge CardosoPublisher: Springer
ISBN: 3319675583
Category : Computers
Languages : en
Pages : 399
Book Description
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 Québec 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.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
Author: Marius George LinguraruPublisher: Springer Nature
ISBN: 303172089X
Category :
Languages : en
Pages : 805
Book Description