Medical Image Computing And Computer Assisted Intervention Miccai 2022

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 841 pages
File Size : 43,6 Mb
Release : 2022-09-16
Category : Computers
ISBN : 9783031164460

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 802 pages
File Size : 41,9 Mb
Release : 2022-09-15
Category : Computers
ISBN : 9783031164347

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 775 pages
File Size : 46,8 Mb
Release : 2022-09-15
Category : Computers
ISBN : 9783031164439

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 782 pages
File Size : 50,7 Mb
Release : 2022-09-15
Category : Computers
ISBN : 9783031164408

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 774 pages
File Size : 46,9 Mb
Release : 2022-09-15
Category : Computers
ISBN : 9783031164521

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 832 pages
File Size : 50,9 Mb
Release : 2022-09-15
Category : Computers
ISBN : 9783031164378

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 809 pages
File Size : 40,6 Mb
Release : 2022-09-16
Category : Computers
ISBN : 9783031164491

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 796 pages
File Size : 52,6 Mb
Release : 2022-09-14
Category : Computers
ISBN : 9783031164316

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Handbook of Medical Image Computing and Computer Assisted Intervention

Author : S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger
Publisher : Academic Press
Page : 1074 pages
File Size : 55,9 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9780128165867

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Handbook of Medical Image Computing and Computer Assisted Intervention by S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger Pdf

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention

Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022

Author : Linwei Wang,Qi Dou,Tom Fletcher (Computer scientist),Stefanie Speidel,Shuo Li
Publisher : Unknown
Page : 0 pages
File Size : 45,7 Mb
Release : 2022
Category : Diagnostic imaging
ISBN : 8303116452

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Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022 by Linwei Wang,Qi Dou,Tom Fletcher (Computer scientist),Stefanie Speidel,Shuo Li Pdf

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Author : Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor
Publisher : Springer Nature
Page : 808 pages
File Size : 50,8 Mb
Release : 2023-09-30
Category : Computers
ISBN : 9783031438981

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor Pdf

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

Author : M. Emre Celebi,Md Sirajus Salekin,Hyunwoo Kim,Shadi Albarqouni,Catarina Barata,Allan Halpern,Philipp Tschandl,Marc Combalia,Yuan Liu,Ghada Zamzmi,Joshua Levy,Huzefa Rangwala,Annika Reinke,Diya Wynn,Bennett Landman,Won-Ki Jeong,Yiqing Shen,Zhongying Deng,Spyridon Bakas,Xiaoxiao Li,Chen Qin,Nicola Rieke,Holger Roth,Daguang Xu
Publisher : Springer Nature
Page : 397 pages
File Size : 43,5 Mb
Release : 2023-11-30
Category : Computers
ISBN : 9783031474019

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops by M. Emre Celebi,Md Sirajus Salekin,Hyunwoo Kim,Shadi Albarqouni,Catarina Barata,Allan Halpern,Philipp Tschandl,Marc Combalia,Yuan Liu,Ghada Zamzmi,Joshua Levy,Huzefa Rangwala,Annika Reinke,Diya Wynn,Bennett Landman,Won-Ki Jeong,Yiqing Shen,Zhongying Deng,Spyridon Bakas,Xiaoxiao Li,Chen Qin,Nicola Rieke,Holger Roth,Daguang Xu Pdf

This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops. The papers of the workshops are presenting the topical sections: Eighth International Skin Imaging Collaboration Workshop (ISIC 2023) First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023) Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023) First MICCAI Workshop on Time-Series Data Analytics and Learning First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF) AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023) Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023) Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023)

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Author : Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor
Publisher : Springer Nature
Page : 838 pages
File Size : 46,5 Mb
Release : 2023-09-30
Category : Computers
ISBN : 9783031439018

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor Pdf

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Author : Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor
Publisher : Springer Nature
Page : 821 pages
File Size : 50,5 Mb
Release : 2023-09-30
Category : Computers
ISBN : 9783031439070

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor Pdf

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008

Author : Dimitris N. Metaxas
Publisher : Springer Science & Business Media
Page : 1136 pages
File Size : 46,7 Mb
Release : 2008
Category : Diagnostic imaging
ISBN : 9783540859871

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 by Dimitris N. Metaxas Pdf

Annotation The two-volume set LNCS 5241 and LNCS 5242 constitute the refereed proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, held in New York, NY, USA, in September 2008.The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer reviews. The first volume includes 127 papers related to medical image computing, segmentation, shape and statistics analysis, modeling, motion tracking and compensation, as well as registration. The second volume contains 131 contributions related to robotics and interventions, statistical analysis, segmentation, intervention, modeling, and registration.