Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
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Published By Springer International Publishing

9783030322441, 9783030322458

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Correction to: Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_96 ◽

2019 ◽

pp. C1-C1

Author(s):

Guotai Wang ◽

Jonathan Shapey ◽

Wenqi Li ◽

Reuben Dorent ◽

Alexis Dimitriadis ◽

...

Keyword(s):

Spatial Attention ◽

Vestibular Schwannoma ◽

Automatic Segmentation

Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_8 ◽

2019 ◽

pp. 66-73 ◽

Cited By ~ 1

Author(s):

Shadab Khan ◽

Ahmed H. Shahin ◽

Javier Villafruela ◽

Jianbing Shen ◽

Ling Shao

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Extreme Points ◽

Interactive Segmentation

Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_78 ◽

2019 ◽

pp. 705-713

Author(s):

Fatemeh Taheri Dezaki ◽

Hany Girgis ◽

Robert Rohling ◽

Ken Gin ◽

Purang Abolmaesumi ◽

...

Keyword(s):

Frame Rate ◽

Variational Autoencoder ◽

Frame Rate Up Conversion ◽

Adversarial Model

A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_64 ◽

2019 ◽

pp. 577-585 ◽

Cited By ~ 2

Author(s):

Chaoyang Xia ◽

Xiaojie Li ◽

Xin Wang ◽

Bin Kong ◽

Yucheng Chen ◽

...

Keyword(s):

Risk Prediction ◽

Clinical Information ◽

Death Risk

3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_17 ◽

2019 ◽

pp. 146-154

Author(s):

Guodong Zeng ◽

Guoyan Zheng

Keyword(s):

Medical Images ◽

Volumetric Medical Images

Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_86 ◽

2019 ◽

pp. 776-784

Author(s):

Zhifan Gao ◽

Shuo Li

Keyword(s):

Context Aware ◽

Border Detection ◽

Intracoronary Imaging ◽

Inductive Bias ◽

Bias Learning

DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_47 ◽

2019 ◽

pp. 420-429 ◽

Cited By ~ 11

Author(s):

Zhenlin Xu ◽

Marc Niethammer

Keyword(s):

Image Registration ◽

Supervised Learning

Incompressible Image Registration Using Divergence-Conforming B-Splines

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_49 ◽

2019 ◽

pp. 438-446 ◽

Cited By ~ 1

Author(s):

Lucas Fidon ◽

Michael Ebner ◽

Luis C. Garcia-Peraza-Herrera ◽

Marc Modat ◽

Sébastien Ourselin ◽

...

Keyword(s):

Image Registration ◽

B Splines

Disease Knowledge Transfer Across Neurodegenerative Diseases

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_95 ◽

2019 ◽

pp. 860-868 ◽

Cited By ~ 1

Author(s):

Răzvan V. Marinescu ◽

◽

Marco Lorenzi ◽

Stefano B. Blumberg ◽

Alexandra L. Young ◽

...

Keyword(s):

Knowledge Transfer ◽

Neurodegenerative Diseases ◽

Disease Knowledge

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_51 ◽

2019 ◽

pp. 458-467 ◽

Cited By ~ 1

Author(s):

Jwala Dhamala ◽

Sandesh Ghimire ◽

John L. Sapp ◽

B. Milan Horáček ◽

Linwei Wang

Keyword(s):

Generative Model ◽

Bayesian Optimization ◽

Model Application ◽

Large Graphs ◽

Cardiac Model ◽

Model Personalization

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss

Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network

Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model

A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information

3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images

Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging

DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation

Incompressible Image Registration Using Divergence-Conforming B-Splines

Disease Knowledge Transfer Across Neurodegenerative Diseases

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
Latest Publications