Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

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

(2018) Tim Lustberg et al.   RADIOTHERAPY AND ONCOLOGY

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

(2018) Jinzhong Yang et al.   MEDICAL PHYSICS

Fully Convolutional Networks for Semantic Segmentation

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

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Esophagus segmentation in CT via 3D fully convolutional neural network and random walk

(2017) Tobias Fechter et al.   MEDICAL PHYSICS

Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks

(2017) Bulat Ibragimov et al.   MEDICAL PHYSICS

Dose to heart substructures is associated with non-cancer death after SBRT in stage I–II NSCLC patients

(2017) Barbara Stam et al.   RADIOTHERAPY AND ONCOLOGY

MLC tracking for lung SABR reduces planning target volumes and dose to organs at risk

(2017) Vincent Caillet et al.   RADIOTHERAPY AND ONCOLOGY

Use of auto-segmentation in the delineation of target volumes and organs at risk in head and neck

(2016) Jia Yi Lim et al.   ACTA ONCOLOGICA

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients

(2016) J. Dolz et al.   MEDICAL PHYSICS

Contour-Driven Atlas-Based Segmentation

(2015) Christian Wachinger et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

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

(2014) Gregory Sharp et al.   MEDICAL PHYSICS

Automated delineation of brain structures in patients undergoing radiotherapy for primary brain tumors: From atlas to dose–volume histograms

(2014) Manuel Conson et al.   RADIOTHERAPY AND ONCOLOGY

Clinical outcome and predictors of survival and pneumonitis after stereotactic ablative radiotherapy for stage I non-small cell lung cancer

(2012) Joe Y Chang et al.   Radiation Oncology

Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer

(2012) Mariangela La Macchia et al.   Radiation Oncology

Outcomes of Stereotactic Ablative Radiotherapy in Patients With Potentially Operable Stage I Non-Small Cell Lung Cancer

(2011) Frank J. Lagerwaard et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Outcomes of Stereotactic Ablative Radiotherapy for Centrally Located Early-Stage Lung Cancer

(2011) Cornelis J.A. Haasbeek et al.   Journal of Thoracic Oncology

An evaluation of an automated 4D-CT contour propagation tool to define an internal gross tumour volume for lung cancer radiotherapy

(2011) Stewart Gaede et al.   RADIOTHERAPY AND ONCOLOGY

A Generative Model for Image Segmentation Based on Label Fusion

(2010) Mert R Sabuncu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Meta-Analysis of Concomitant Versus Sequential Radiochemotherapy in Locally Advanced Non–Small-Cell Lung Cancer

(2010) Anne Aupérin et al.   JOURNAL OF CLINICAL ONCOLOGY

Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection

(2009) Eva M. van Rikxoort et al.   MEDICAL PHYSICS

A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck

(2009) Richard Sims et al.   RADIOTHERAPY AND ONCOLOGY

Evaluation of an atlas-based automatic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context

(2008) Aurélie Isambert et al.   RADIOTHERAPY AND ONCOLOGY