Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science

2020 ◽

pp. C1-C1

Author(s):

Lei Xiang ◽

Yang Li ◽

Weili Lin ◽

Qian Wang ◽

Dinggang Shen

Keyword(s):

Fast Training

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Integrating Deformable Modeling with 3D Deep Neural Network Segmentation

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_43 ◽

2018 ◽

pp. 377-384

Author(s):

Hui Tang ◽

Mehdi Moradi ◽

Ken C. L. Wong ◽

Hongzhi Wang ◽

Ahmed El Harouni ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Deformable Modeling

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Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_29 ◽

2018 ◽

pp. 254-262

Author(s):

Mayalen Etcheverry ◽

Bogdan Georgescu ◽

Benjamin Odry ◽

Thomas J. Re ◽

Shivam Kaushik ◽

...

Keyword(s):

Medical Images ◽

Object Localization

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Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_15 ◽

2018 ◽

pp. 128-136 ◽

Cited By ~ 5

Author(s):

Roman Spilger ◽

Thomas Wollmann ◽

Yu Qiang ◽

Andrea Imle ◽

Ji Young Lee ◽

...

Keyword(s):

Deep Learning ◽

Fluorescence Microscopy ◽

Automatic Tracking ◽

Microscopy Images

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ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_39 ◽

2018 ◽

pp. 343-350 ◽

Cited By ~ 4

Author(s):

Felix Lau ◽

Tom Hendriks ◽

Jesse Lieman-Sifry ◽

Sean Sall ◽

Dan Golden

Keyword(s):

Generative Adversarial Networks ◽

Adversarial Networks ◽

Cardiovascular Mr

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Unpaired Deep Cross-Modality Synthesis with Fast Training

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_18 ◽

2018 ◽

pp. 155-164 ◽

Cited By ~ 5

Author(s):

Lei Xiang ◽

Yang Li ◽

Weili Lin ◽

Qian Wang ◽

Dinggang Shen

Keyword(s):

Fast Training

Download Full-text

A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_4 ◽

2018 ◽

pp. 29-37 ◽

Cited By ~ 9

Author(s):

Mohammad H. Jafari ◽

Hany Girgis ◽

Zhibin Liao ◽

Delaram Behnami ◽

Amir Abdi ◽

...

Keyword(s):

Left Ventricle ◽

Optical Flow ◽

Unified Framework ◽

Convolutional Networks ◽

Fully Convolutional Networks

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Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_13 ◽

2018 ◽

pp. 110-118

Author(s):

Lee B. Reid ◽

Alex M. Pagnozzi

Keyword(s):

Block Matching ◽

Training Data ◽

Data Generation ◽

Tissue Segmentation ◽

Self Organizing Maps ◽

Self Organizing

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A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_40 ◽

2018 ◽

pp. 353-360 ◽

Cited By ~ 1

Author(s):

Myra Cheng ◽

Alfiia Galimzianova ◽

Žiga Lesjak ◽

Žiga Špiclin ◽

Christopher B. Lock ◽

...

Keyword(s):

Multiple Sclerosis ◽

Change Detection ◽

Multiple Sclerosis Lesion ◽

Multi Scale

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Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00889-5_21 ◽

2018 ◽

pp. 183-191 ◽

Cited By ~ 3

Author(s):

Firat Ozdemir ◽

Zixuan Peng ◽

Christine Tanner ◽

Philipp Fuernstahl ◽

Orcun Goksel

Keyword(s):

Active Learning ◽

Maximal Entropy ◽

Content Information

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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Unpaired Deep Cross-Modality Synthesis with Fast Training

Integrating Deformable Modeling with 3D Deep Neural Network Segmentation

Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images

Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning

ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans

Unpaired Deep Cross-Modality Synthesis with Fast Training

A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data

Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps

A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI

Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy

Export Citation Format

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Unpaired Deep Cross-Modality Synthesis with Fast Training

Integrating Deformable Modeling with 3D Deep Neural Network Segmentation

Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images

Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning

ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans

Unpaired Deep Cross-Modality Synthesis with Fast Training

A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data

Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps

A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI

Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science
Latest Publications