General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis

Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy

(2021) Elaine Cha et al.   RADIOTHERAPY AND ONCOLOGY

Feasibility of Continual Deep Learning-Based Segmentation for Personalized Adaptive Radiation Therapy in Head and Neck Area

(2021) Nalee Kim et al.   Cancers

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

(2021) S. Kevin Zhou et al.   PROCEEDINGS OF THE IEEE

A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy

(2021) Xuming Chen et al.   RADIOTHERAPY AND ONCOLOGY

A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases

(2021) Yang Zhong et al.   Frontiers in Oncology

Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow

(2021) Kendall J. Kiser et al.   JOURNAL OF DIGITAL IMAGING

Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network

(2021) Xianjin Dai et al.   MEDICAL PHYSICS

Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers

(2021) Jordan Wong et al.   Radiation Oncology

Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks

(2020) Yufeng Ye et al.   Frontiers in Oncology

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

(2020) Nima Tajbakhsh et al.   MEDICAL IMAGE ANALYSIS

Head and neck multi‐organ auto‐segmentation on CT images aided by synthetic MRI

(2020) Yingzi Liu et al.   MEDICAL PHYSICS

FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images

(2020) Yunhe Gao et al.   MEDICAL IMAGE ANALYSIS

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617

(2020) Maria Thor et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation

(2020) A. Emre Kavur et al.   MEDICAL IMAGE ANALYSIS

Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images

(2019) Xue Feng et al.   MEDICAL PHYSICS

Automatic multiorgan segmentation in thorax CT images using U‐net‐ GAN

(2019) Xue Dong et al.   MEDICAL PHYSICS

Deformable image registration for radiation therapy: principle, methods, applications and evaluation

(2019) Bastien Rigaud et al.   ACTA ONCOLOGICA

The changing therapeutic landscape of head and neck cancer

(2019) John D. Cramer et al.   Nature Reviews Clinical Oncology

Advances in Auto-Segmentation

(2019) Carlos E. Cardenas et al.   SEMINARS IN RADIATION ONCOLOGY

Benefits of deep learning for delineation of organs at risk in head and neck cancer

(2019) J. van der Veen et al.   RADIOTHERAPY AND ONCOLOGY

Deep Learning: A Review for the Radiation Oncologist

(2019) Luca Boldrini et al.   Frontiers in Oncology

Advances on pancreas segmentation: a review

(2019) Xu Yao et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network

(2019) Xue Dong et al.   RADIOTHERAPY AND ONCOLOGY

Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning

(2019) Jordan Wong et al.   RADIOTHERAPY AND ONCOLOGY

Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks

(2018) Eli Gibson et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fast and robust adaptation of organs-at-risk delineations from planning scans to match daily anatomy in pre-treatment scans for online-adaptive radiotherapy of abdominal tumors

(2018) Vikas Gupta et al.   RADIOTHERAPY AND ONCOLOGY

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

(2018) Tim Lustberg et al.   RADIOTHERAPY AND ONCOLOGY

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Online Adaptive Radiation Therapy

(2017) Stephanie Lim-Reinders et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015

(2017) Patrik F. Raudaschl et al.   MEDICAL PHYSICS

Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132

(2017) Kristy K. Brock et al.   MEDICAL PHYSICS

Recent Developments in Radiotherapy

(2017) Deborah E. Citrin   NEW ENGLAND JOURNAL OF MEDICINE

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies

(2016) Shalini K. Vinod et al.   RADIOTHERAPY AND ONCOLOGY

Expanding global access to radiotherapy

(2015) Rifat Atun et al.   LANCET ONCOLOGY

Dosimetric benefit of adaptive re-planning in pancreatic cancer stereotactic body radiotherapy

(2015) Yongbao Li et al.   Medical Dosimetry

Deep learning

(2015) Yann LeCun et al.   NATURE

CT-based delineation of organs at risk in the head and neck region: DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and TROG consensus guidelines

(2015) Charlotte L. Brouwer et al.   RADIOTHERAPY AND ONCOLOGY

Vision 20/20: Perspectives on automated image segmentation for radiotherapy

(2014) Gregory Sharp et al.   MEDICAL PHYSICS

Recommendation for a contouring method and atlas of organs at risk in nasopharyngeal carcinoma patients receiving intensity-modulated radiotherapy

(2014) Ying Sun et al.   RADIOTHERAPY AND ONCOLOGY

Pelvic Normal Tissue Contouring Guidelines for Radiation Therapy: A Radiation Therapy Oncology Group Consensus Panel Atlas

(2012) Hiram A. Gay et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

An on-line replanning scheme for interfractional variationsa)

(2008) Ergun E. Ahunbay et al.   MEDICAL PHYSICS