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

Head-and-neck organs-at-risk auto-delineation using dual pyramid networks for CBCT-guided adaptive radiotherapy

(2021) Xianjin Dai et al.   PHYSICS IN MEDICINE AND BIOLOGY

Self‐supervised Learning for Accelerated 3D High‐resolution Ultrasound Imaging

(2021) Xianjin Dai et al.   MEDICAL PHYSICS

Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications

(2020) Hyunseok Seo et al.   MEDICAL PHYSICS

Automatic multi‐catheter detection using deeply supervised convolutional neural network in MRI‐guided HDR prostate brachytherapy

(2020) Xianjin Dai et al.   MEDICAL PHYSICS

Multimodal MRI Synthesis Using Unified Generative Adversarial Networks

(2020) Xianjin Dai et al.   MEDICAL PHYSICS

Intensity non-uniformity correction in MR imaging using residual cycle generative adversarial network

(2020) Xianjin Dai et al.   PHYSICS IN MEDICINE AND BIOLOGY

Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN

(2020) Yang Lei et al.   MEDICAL PHYSICS

Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma

(2019) Li Lin et al.   RADIOLOGY

Deep learning-based delineation of head and neck organs-at-risk: geometric and dosimetric evaluation

(2019) Ward van Rooij et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation

(2019) Shuai Wang et al.   MEDICAL IMAGE ANALYSIS

MRI ‐Only Based Synthetic CT Generation Using Dense Cycle Consistent Generative Adversarial Networks

(2019) Yang Lei et al.   MEDICAL PHYSICS

Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer

(2019) M. Kosmin et al.   RADIOTHERAPY AND 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

Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring

(2019) Lisanne V. van Dijk et al.   RADIOTHERAPY AND ONCOLOGY

CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network

(2019) Yang Lei et al.   MEDICAL PHYSICS

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

(2019) Xue Dong et al.   RADIOTHERAPY AND ONCOLOGY

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

(2019) Hyunseok Seo et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks

(2018) Nuo Tong et al.   MEDICAL PHYSICS

Role and future of MRI in radiation oncology

(2018) Indra J Das et al.   BRITISH JOURNAL OF RADIOLOGY

Deep learning in medical imaging and radiation therapy

(2018) Berkman Sahiner et al.   MEDICAL PHYSICS

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

(2018) Alexander D. Weston et al.   RADIOLOGY

Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method

(2017) Xiangrong Zhou et al.   MEDICAL PHYSICS

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

(2017) Patrik F. Raudaschl 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

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

Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer

(2014) Gary V. Walker et al.   RADIOTHERAPY AND ONCOLOGY

Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation

(2013) Jean-François Daisne et al.   Radiation Oncology

3D Variation in delineation of head and neck organs at risk

(2012) Charlotte L Brouwer et al.   Radiation Oncology

Emphasizing Conformal Avoidance Versus Target Definition for IMRT Planning in Head-and-Neck Cancer

(2010) Paul M. Harari et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Atlas Based Auto-segmentation of CT Images: Clinical Evaluation of using Auto-contouring in High-dose, High-precision Radiotherapy of Cancer in the Head and Neck

(2008) P.C. Levendag et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Atlas-based Auto-segmentation of CT Images in Head and Neck Cancer: What is the Best Approach?

(2008) M.S. Hoogeman et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS