Revolutionizing radiation therapy: the role of AI in clinical practice

Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics

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

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Stereotactic ablative radiotherapy versus standard of care palliative treatment in patients with oligometastatic cancers (SABR-COMET): a randomised, phase 2, open-label trial

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Rectal Cancer, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology

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Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer

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Advances in Auto-Segmentation

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3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture

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International guideline for the delineation of the clinical target volumes (CTV) for nasopharyngeal carcinoma

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A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning

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Systematic Review of Synthetic Computed Tomography Generation Methodologies for Use in Magnetic Resonance Imaging–Only Radiation Therapy

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Inter-observer variability of manual contour delineation of structures in CT

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Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer

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MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy

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

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

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ESTRO-EANO guideline on target delineation and radiotherapy details for glioblastoma

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Improved scatter correction using adaptive scatter kernel superposition

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Deep learning based synthetic‐CT generation in radiotherapy and PET: A review

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Clinical Validation of Atlas-Based Auto-Segmentation of Multiple Target Volumes and Normal Tissue (Swallowing/Mastication) Structures in the Head and Neck

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NRG Oncology/RTOG Consensus Guidelines for Delineation of Clinical Target Volume for Intensity Modulated Pelvic Radiation Therapy in Postoperative Treatment of Endometrial and Cervical Cancer: An Update

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Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods

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ESTRO ACROP consensus guideline for target volume delineation in the setting of postmastectomy radiation therapy after implant-based immediate reconstruction for early stage breast cancer

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Deep learning for patient‐specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks

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Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study

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An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI

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Dosimetric comparison of RapidPlan and manually optimized plans in volumetric modulated arc therapy for prostate cancer

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Visual enhancement of Cone‐beam CT by use of CycleGAN

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A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases

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Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy

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Deep learning-based synthetic-CT generation in radiotherapy and PET: A review

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A roadmap for implementation of kV‐CBCT online adaptive radiation therapy and initial first year experiences

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Kernel density estimation-based real-time prediction for respiratory motion

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A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients

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Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

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Evaluating the clinical acceptability of deep learning contours of prostate and organs‐at‐risk in an automated prostate treatment planning process

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Recommendations for high-risk clinical target volume definition with computed tomography for three-dimensional image-guided brachytherapy in cervical cancer patients

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

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A Systematic Review of Contouring Guidelines in Radiation Oncology: Analysis of Frequency, Methodology, and Delivery of Consensus Recommendations

Lin, D., Lapen, K., Sherer, M. V., Kantor, J., Zhang, Z., Boyce, L. M., Bosch, W., Korenstein, D., & Gillespie, E. F. (2020) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2020.04.011 · Cited by 59 · see citing works

Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models

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Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma

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Prostate Bed Delineation Guidelines for Postoperative Radiation Therapy: On Behalf Of The Francophone Group of Urological Radiation Therapy

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Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy

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Early response evaluation using primary tumor and nodal imaging features to predict progression-free survival of locally advanced non-small cell lung cancer

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Radiomics AI prediction for head and neck squamous cell carcinoma (HNSCC) prognosis and recurrence with target volume approach

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Early survival prediction in non-small cell lung cancer from PET/CT images using an intra-tumor partitioning method

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Artificial intelligence in radiotherapy

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CT radiomics-based long-term survival prediction for locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy using features from tumor and tumor organismal environment

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Evaluation of the performance of deformable image registration between planning CT and CBCT images for the pelvic region: comparison between hybrid and intensity-based DIR

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Artificial intelligence to predict outcomes of head and neck radiotherapy

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Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy

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

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Learning the Treatment Process in Radiotherapy Using an Artificial Intelligence–Assisted Chatbot: Development Study

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Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI

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Perineural spread in head and neck malignancies: imaging findings - an updated literature review

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Development and validation of a CT-based nomogram to predict spread through air space (STAS) in peripheral stage IA lung adenocarcinoma

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Development and external validation of an MRI-based neural network for brain metastasis segmentation in the AURORA multicenter study

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Convolutional neural network in nasopharyngeal carcinoma: how good is automatic delineation for primary tumor on a non-contrast-enhanced fat-suppressed T2-weighted MRI?

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Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory

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Role of stereotactic body radiotherapy in multidisciplinary management of liver metastases in patients with colorectal cancer

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A blind randomized validated convolutional neural network for auto‐segmentation of clinical target volume in rectal cancer patients receiving neoadjuvant radiotherapy

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Japanese structure survey of radiation oncology in 2015

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An End-to-End Natural Language Processing System for Automatically Extracting Radiation Therapy Events From Clinical Texts

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Development of a 3D CNN-based AI Model for Automated Segmentation of the Prostatic Urethra

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Automated Lung Cancer Segmentation Using a PET and CT Dual-Modality Deep Learning Neural Network

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Comparison of Online-Onboard Adaptive Intensity-Modulated Radiation Therapy or Volumetric-Modulated Arc Radiotherapy With Image-Guided Radiotherapy for Patients With Gynecologic Tumors in Dependence on Fractionation and the Planning Target Volume Margin

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Comprehensive Evaluation of a Deep Learning Model for Automatic Organs-at-Risk Segmentation on Heterogeneous Computed Tomography Images for Abdominal Radiation Therapy

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Incremental retraining, clinical implementation, and acceptance rate of deep learning auto‐segmentation for male pelvis in a multiuser environment

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Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images

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Automatic segmentation of vestibular schwannomas from T1-weighted MRI with a deep neural network

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ECOG-ACRIN Guideline for Contouring and Treatment of Early Stage Anal Cancer Using IMRT/IGRT

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Improving target volume delineation in intact cervical carcinoma: Literature review and step-by-step pictorial atlas to aid contouring

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nnU-Net: Further Automating Biomedical Image Autosegmentation

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Clinical evaluation of two AI models for automated breast cancer plan generation

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Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy

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Radiation Therapy in Oligometastatic Prostate Cancer

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Synchronous monitoring of external/internal respiratory motion: validity of respiration-gated radiotherapy for liver tumors

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Evaluation of MRI‐only based online adaptive radiotherapy of abdominal region on MR‐linac

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Feasibility study of deep learning‐based markerless real‐time lung tumor tracking with orthogonal X‐ray projection images

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Chat GPT versus human touch in stereotactic radiosurgery

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RefineNet‐based 2D and 3D automatic segmentations for clinical target volume and organs at risks for patients with cervical cancer in postoperative radiotherapy

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Stereotactic body radiation therapy for metastatic lung metastases

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Factors affecting the accuracy of respiratory tracking of the image-guided robotic radiosurgery system

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Clinical target volume segmentation based on gross tumor volume using deep learning for head and neck cancer treatment

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Correction to: Transarterial fiducial marker implantation for CyberKnife radiotherapy to treat pancreatic cancer: an experience with 14 cases

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