Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783030324858, 9783030324865

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Voxel-Level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_9 ◽

2019 ◽

pp. 70-77

Author(s):

Jingjing Zhang ◽

Shuolin Liu ◽

Teng Li ◽

Ronghu Mao ◽

Chi Du ◽

...

Keyword(s):

Connected Network ◽

Dose Prediction ◽

Radiotherapy Dose

A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_6 ◽

2019 ◽

pp. 43-51

Author(s):

Zhiyu Liu ◽

Wenhao Jiang ◽

Kit-Hang Lee ◽

Yat-Long Lo ◽

Yui-Lun Ng ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Lesion Detection ◽

Two Stage ◽

Weakly Supervised

4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_4 ◽

2019 ◽

pp. 26-33 ◽

Cited By ~ 3

Author(s):

Yang Lei ◽

Yabo Fu ◽

Joseph Harms ◽

Tonghe Wang ◽

Walter J. Curran ◽

...

Keyword(s):

Neural Network ◽

Image Registration ◽

Convolutional Neural Network ◽

Deformable Image Registration ◽

Deep Convolutional Neural Network ◽

4D Ct

Individualized 3D Dose Distribution Prediction Using Deep Learning

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_14 ◽

2019 ◽

pp. 110-118 ◽

Cited By ~ 1

Author(s):

Jianhui Ma ◽

Ti Bai ◽

Dan Nguyen ◽

Michael Folkerts ◽

Xun Jia ◽

...

Keyword(s):

Deep Learning ◽

Dose Distribution

Deriving Lung Perfusion Directly from CT Image Using Deep Convolutional Neural Network: A Preliminary Study

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_13 ◽

2019 ◽

pp. 102-109

Author(s):

Ge Ren ◽

Wai Yin Ho ◽

Jing Qin ◽

Jing Cai

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Lung Perfusion ◽

Deep Convolutional Neural Network ◽

Ct Image ◽

Preliminary Study

A Novel Deep Learning Framework for Standardizing the Label of OARs in CT

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_7 ◽

2019 ◽

pp. 52-60 ◽

Cited By ~ 1

Author(s):

Qiming Yang ◽

Hongyang Chao ◽

Dan Nguyen ◽

Steve Jiang

Keyword(s):

Deep Learning ◽

Learning Framework

UC-GAN for MR to CT Image Synthesis

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_18 ◽

2019 ◽

pp. 146-153 ◽

Cited By ~ 1

Author(s):

Haitao Wu ◽

Xiling Jiang ◽

Fucang Jia

Keyword(s):

Image Synthesis ◽

Ct Image

Dose Distribution Prediction for Optimal Treamtment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_16 ◽

2019 ◽

pp. 128-136

Author(s):

Bilel Daoud ◽

Ken’ichi Morooka ◽

Shoko Miyauchi ◽

Ryo Kurazume ◽

Wafa Mnejja ◽

...

Keyword(s):

Radiation Therapy ◽

Nasopharyngeal Carcinoma ◽

Dose Distribution ◽

External Beam Radiation Therapy ◽

External Beam Radiation ◽

External Beam ◽

Beam Radiation

Unpaired Synthetic Image Generation in Radiology Using GANs

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_12 ◽

2019 ◽

pp. 94-101 ◽

Cited By ~ 3

Author(s):

Denis Prokopenko ◽

Joël Valentin Stadelmann ◽

Heinrich Schulz ◽

Steffen Renisch ◽

Dmitry V. Dylov

Keyword(s):

Synthetic Image ◽

Image Generation ◽

Synthetic Image Generation

Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_1 ◽

2019 ◽

pp. 1-9

Author(s):

Azar Sadeghnejad Barkousaraie ◽

Olalekan Ogunmolu ◽

Steve Jiang ◽

Dan Nguyen

Keyword(s):

Monte Carlo ◽

Radiation Therapy ◽

Supervised Learning ◽

Tree Search ◽

Monte Carlo Tree Search ◽

Beam Orientation Optimization ◽

Beam Orientation ◽

Orientation Optimization

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Voxel-Level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions

A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network

4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network

Individualized 3D Dose Distribution Prediction Using Deep Learning

Deriving Lung Perfusion Directly from CT Image Using Deep Convolutional Neural Network: A Preliminary Study

A Novel Deep Learning Framework for Standardizing the Label of OARs in CT

UC-GAN for MR to CT Image Synthesis

Dose Distribution Prediction for Optimal Treamtment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma

Unpaired Synthetic Image Generation in Radiology Using GANs

Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science
Latest Publications