Artificial intelligence in radiation therapy : first International Workshop, AIRT 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /: first International Workshop, AIRT 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. (2019)
- Record Type:
- Book
- Title:
- Artificial intelligence in radiation therapy : first International Workshop, AIRT 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /: first International Workshop, AIRT 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. (2019)
- Main Title:
- Artificial intelligence in radiation therapy : first International Workshop, AIRT 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
- Other Titles:
- AIRT 2019
- Further Information:
- Note: Dan Nguyen, Lei Xing, Steve Jiang (eds.).
- Editors:
- Nguyen, Dan
Xing, Lei
Jiang, Steve B - Other Names:
- AIRT (Workshop), 1st
International Conference on Medical Image Computing and Computer-Assisted Intervention, 22nd - Contents:
- Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy.- Feasibility of CT-only 3D dose prediction for VMAT prostate plans using deep learning.- Automatically Tracking and Detecting Significant Nodal Mass Shrinkage During Head-and-Neck Radiation Treatment Using Image Saliency.- 4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network.- Toward markerless image-guided radiotherapy using deep learning for prostate cancer.- A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network.- A Novel Deep Learning Framework for Standardizing the Label of OARs in CT.- Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery.- Voxel-level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions.- Online Target Volume Estimation and Prediction From an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach.- One-dimensional convolutional network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning.- Unpaired Synthetic Image Generation in Radiology Using GANs.- Deriving lung perfusion directly from CT image using deep convolutional neural network: A preliminary study.- Individualized 3D Dose Distribution Prediction Using Deep Learning.- Deep Generative Model-Driven Multimodal Prostate Segmentation inUsing Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy.- Feasibility of CT-only 3D dose prediction for VMAT prostate plans using deep learning.- Automatically Tracking and Detecting Significant Nodal Mass Shrinkage During Head-and-Neck Radiation Treatment Using Image Saliency.- 4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network.- Toward markerless image-guided radiotherapy using deep learning for prostate cancer.- A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network.- A Novel Deep Learning Framework for Standardizing the Label of OARs in CT.- Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery.- Voxel-level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions.- Online Target Volume Estimation and Prediction From an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach.- One-dimensional convolutional network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning.- Unpaired Synthetic Image Generation in Radiology Using GANs.- Deriving lung perfusion directly from CT image using deep convolutional neural network: A preliminary study.- Individualized 3D Dose Distribution Prediction Using Deep Learning.- Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy.- Dose Distribution Prediction for Optimal Treatment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma.- DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy.- UC-GAN for MR to CT Image Synthesis.- CBCT-based Synthetic MRI Generation for CBCT-guided Adaptive Radiotherapy.- Cardio-pulmonary Substructure Segmentation of CT images using Convolutional Neural Networks. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (xi, 172 pages), illustrations (some color)
- Subjects:
- 610.28563
Artificial intelligence -- Medical applications -- Congresses
Electronic books - Languages:
- English
- ISBNs:
- 9783030324865
3030324869 - Related ISBNs:
- 9783030324858
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 16, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.464616
- Ingest File:
- 02_607.xml