Record:   Prev Next
Author UNSURE (Workshop) (1st : 2019 : Shenzhen Shi, China)
Title Uncertainty for safe utilization of machine learning in medical imaging and clinical image-based procedures : first International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019 : proceedings / edited by Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian Baumgartner, Adrian Dalca, Carole H. Sudre, William M. Wells, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Angel Gonzalez Ballester
Imprint Cham : Springer International Publishing : Imprint: Springer, 2019
book jacket
Descript 1 online resource (xvii, 192 pages) : illustrations (some color), digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series Lecture notes in computer science, 0302-9743 ; 11840
Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 11840
Image processing, computer vision, pattern recognition, and graphics
Note UNSURE 2019: Uncertainty quantification and noise modelling -- Probabilistic Surface Reconstruction with Unknown Correspondence -- Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty -- Propagating Uncertainty Across Cascaded Medical Imaging Tasks For Improved Deep Learning Inference -- Reg R-CNN: Lesion Detection and Grading under Noisy Labels -- Fast Nonparametric Mutual Information based Registration and Uncertainty Estimation -- Quantifying Uncertainty of deep neural networks in skin lesion classification -- UNSURE 2019: Domain shift robustness -- A Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data -- Out of distribution detection for intra-operative functional imaging -- CLIP 2019 -- A Clinical Measuring Platform for Building the Bridge across the Quantification of Pathological N-cells in Medical Imaging for Studies of Disease -- Spatiotemporal statistical model of anatomical landmarks on a human embryonic brain -- Spaciousness filters for non-contrast CT volume segmentation of the intestine region for emergency ileus diagnosis -- Recovering physiological changes in nasal anatomy with confidence estimates -- Synthesis of Medical Images Using GANs -- DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation -- Multi-instance deep learning with graph convolutional neural networks for diagnosis of kidney diseases using ultrasound imaging -- Data Augmentation from Sketch -- An automated CNN-based 3D anatomical landmark detection method to facilitate surface-based 3D facial shape analysis -- A Device-independent Novel Statistical Modeling for Cerebral TOF-MRA data Segmentation -- Three-dimensional face reconstruction from uncalibrated photographs: application to early detection of genetic syndromes
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
Host Item Springer eBooks
Subject Diagnostic imaging -- Data processing -- Congresses
Artificial intelligence -- Medical applications -- Congresses
Machine learning -- Congresses
Artificial Intelligence
Image Processing and Computer Vision
Health Informatics
Alt Author Greenspan, Hayit, editor
Tanno, Ryutaro, editor
Erdt, Marius, editor
Arbel, Tal, editor
Baumgartner, Christian, editor
Dalca, Adrian, editor
Sudre, Carole H., editor
Wells, William M., editor
Drechsler, Klaus, editor
Linguraru, Marius George, editor
Oyarzun Laura, Cristina, editor
Shekhar, Raj, editor
Wesarg, Stefan, editor
Gonzalez Ballester, Miguel Angel, editor
SpringerLink (Online service)
CLIP (Workshop) (8th : 2019 : Shenzhen Shi, China)
International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China)
Alt Title UNSURE 2019
CLIP 2019
Record:   Prev Next