Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science
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(FIVE YEARS 79)

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Published By Springer International Publishing

9783030597184, 9783030597191

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_28 ◽

2020 ◽

pp. 279-288

Author(s):

Guotai Wang ◽

Michael Aertsen ◽

Jan Deprest ◽

Sébastien Ourselin ◽

Tom Vercauteren ◽

...

Keyword(s):

Fetal Brain ◽

Brain Segmentation

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One Click Lesion RECIST Measurement and Segmentation on CT Scans

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_56 ◽

2020 ◽

pp. 573-583

Author(s):

Youbao Tang ◽

Ke Yan ◽

Jing Xiao ◽

Ronald M. Summers

Keyword(s):

Ct Scans

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Nonlinear Regression on Manifolds for Shape Analysis using Intrinsic Bézier Splines

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_60 ◽

2020 ◽

pp. 617-626

Author(s):

Martin Hanik ◽

Hans-Christian Hege ◽

Anja Hennemuth ◽

Christoph von Tycowicz

Keyword(s):

Shape Analysis ◽

Nonlinear Regression

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Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_51 ◽

2020 ◽

pp. 523-532

Author(s):

Boris Shirokikh ◽

Alexey Shevtsov ◽

Anvar Kurmukov ◽

Alexandra Dalechina ◽

Egor Krivov ◽

...

Keyword(s):

Image Segmentation ◽

Medical Image ◽

Lesion Size ◽

Medical Image Segmentation ◽

Size Inequality

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Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_71 ◽

2020 ◽

pp. 735-744

Author(s):

Nazim Haouchine ◽

Parikshit Juvekar ◽

William M. Wells III ◽

Stephane Cotin ◽

Alexandra Golby ◽

...

Keyword(s):

Augmented Reality ◽

Rigid Registration

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Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_52 ◽

2020 ◽

pp. 533-541 ◽

Cited By ~ 1

Author(s):

Tongxue Zhou ◽

Stéphane Canu ◽

Pierre Vera ◽

Su Ruan

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Source Correlation

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Skip-StyleGAN: Skip-Connected Generative Adversarial Networks for Generating 3D Rendered Image of Hand Bone Complex

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_72 ◽

2020 ◽

pp. 745-754

Author(s):

Jaesin Ahn ◽

Hyun-Joo Lee ◽

Inchul Choi ◽

Minho Lee

Keyword(s):

Generative Adversarial Networks ◽

Adversarial Networks

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Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_62 ◽

2020 ◽

pp. 639-649

Author(s):

Youyi Song ◽

Lei Zhu ◽

Baiying Lei ◽

Bin Sheng ◽

Qi Dou ◽

...

Keyword(s):

Shape Priors

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Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CT

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_43 ◽

2020 ◽

pp. 439-449

Author(s):

Yanan Ruan ◽

Dengwang Li ◽

Harry Marshall ◽

Timothy Miao ◽

Tyler Cossetto ◽

...

Keyword(s):

Uncertainty Estimation ◽

Renal Tumors ◽

Task Uncertainty

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Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59719-1_19 ◽

2020 ◽

pp. 187-196

Author(s):

Jingkun Chen ◽

Wenqi Li ◽

Hongwei Li ◽

Jianguo Zhang

Keyword(s):

Image Segmentation ◽

Convolutional Network ◽

Specific Affinity

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices

One Click Lesion RECIST Measurement and Segmentation on CT Scans

Nonlinear Regression on Manifolds for Shape Analysis using Intrinsic Bézier Splines

Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation

Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels

Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation

Skip-StyleGAN: Skip-Connected Generative Adversarial Networks for Generating 3D Rendered Image of Hand Bone Complex

Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms

Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CT

Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science
Latest Publications