Association between perirectal spacer use and complications following prostate radiation therapy: Results of a national real-world data analysis. 
PS Palencia, X Xi, X Zhao et al.Oct 2025.
Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge … R Amiruddin, NY Yordanov, N Maleki et al.Sep 2025.
Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features M von Reppert, S Chadha, K Willms et al.Jul 2025.
Emerging Trends in Artificial Intelligence in Neuro-Oncology S Chadha, DV Sritharan, T Hager et al.Jun 2025.
Analysis of the MICCAI Brain Tumor Segmentation--Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre-and Post-treatment MRI N Maleki, R Amiruddin, AW Moawad et al.Apr 2025.
Hypofractionated radiotherapy (RT) combined with dihydroartemisinin (DHA): No synergistic effect observed in a preliminary animal study Y Wang, X Yang, H Xiao et al.Mar 2025.
Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports S Rashedi, A Bejjani, AR Hunsaker et al.Mar 2025.
Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism B Bikdeli, CD Khairani, A Bejjani et al.Feb 2025.
Deep Learning Identified Extra-Prostatic Extension and Seminal Vesicle Invasion as an MRI Biomarker for Prostate Cancer Outcomes S Hossain, S Hossain, D Sritharan et al.Jan 2025.
Machine learning models for 3-month outcome prediction using radiomics of intracerebral hemorrhage and perihematomal edema from admission head computed tomography (CT) F Dierksen, JK Sommer, AT Tran et al.Dec 2024.
Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical … J Lost, N Ashraf, L Jekel et al.Oct 2024.
Cuts: A deep learning and topological framework for multigranular unsupervised medical image segmentation C Liu, M Amodio, LL Shen et al.Oct 2024.
Applying Language Models to Radiology Text for Identifying Oligometastatic Non-Small Cell Lung Cancer NS Moore, JH Laird, N Verma et al.Oct 2024.
Comparative Effectiveness of SBRT J Shen, DV Sritharan, JB Yu et al.Nov 2024.
Racial and Ethnic Variations in the Accuracy of International Classification of Diseases 10th Revision (ICD-10) Codes for Identifying Pulmonary Embolism B Bacare, S Rashedi, D Krishnathasan et al.Nov 2024.
Accuracy of Rule-based Natural Language Processing Models for Identification of Pulmonary Embolism S Rashedi, D Krishnathasan, C Khairani et al.Nov 2024.
Age-and Sex-Differences in the Accuracy of Rule-based Natural Language Processing Models for Identification of Pulmonary Embolism D Krishnathasan, S Rashedi, C Khairani et al.Nov 2024.
Deriving Imaging Biomarkers for Primary Central Nervous System Lymphoma Using Deep Learning J Zhu, M Destito, C Dhanireddy et al.Sep 2024.
Acceleration of Volumetric Abdominal Aortic Aneurysm Measurements by Leveraging Artificial Intelligence D Weiss, T Hager, M Aboian et al.Sep 2024.
Artificial Intelligence-based Morpho-volumetric Analysis of Pre-and Post-EVAR Infrarenal Abdominal Aortic Aneurysms Characterized on Computed Tomography Angiography DM Weiss, T Hager, M Aboian et al.Jun 2024.
Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke J Sommer, F Dierksen, T Zeevi et al.Jul 2024.
NTCP Assessment of Deep Learning Based Synthetic CT for Pelvic Radiotherapy YN Wang, W Jian, X Wang et al.Jul 2024.
OPTIMIZING PHENOTYPING ALGORITHMS FOR IDENTIFYING PULMONARY EMBOLISM IN ELECTRONIC DATABASES: THE MULTICENTER PE-EHR+ STUDY B Bikdeli, A Bejjani, YC Lo et al.Apr 2024.
Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment of BRAF V600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro … D Ramakrishnan, SC Brüningk, M von Reppert et al.Apr 2024.
Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial M Von Reppert, D Ramakrishnan, SC Brüningk et al.Jan 2024.
Enhancing Clinical Decision-Making: An Externally Validated Machine Learning Model for Predicting IDH Mutation in Gliomas using Radiomics from Pre-Surgical MRI J Lost, N Ashraf, L Jekel et al.2024.
Unlocking the power of ChatGPT, artificial intelligence, and large language models: practical suggestions for radiation oncologists MR Waters, S Aneja, JC Hong Nov 2023.
Age-and Sex-Differences in Accuracy of ICD-10 Codes for Identifying Adults With Pulmonary Embolism: PE-EHR+ Study S Mahajan, YC Lo, A Bejjani et al.Nov 2023.
Pitfalls of ICD-10 Codes for Identifying Pulmonary Embolism in Electronic Records: Results From the Multicenter PE-EHR+ Study B Bikdeli, A Bejjani, CD Khairani et al.Nov 2023.
Double Trouble With Identification of Isolated Sub-Segmental Pulmonary Embolism Using ICD-10 Discharge Diagnosis Codes: The PE-EHR+ Study A Bejjani, CD Khairani, YC Lo et al.Nov 2023.
ICD-10 Codes Have Low Sensitivity and Suboptimal Positive Predictive Value for Identifying Cases of Pulmonary Embolism With Cor Pulmonale in Electronic Healthcare Records A Bejjani, CD Khairani, YC Lo et al.Nov 2023.
Integrating [18F]-Fluorodeoxyglucose Positron Emission Tomography with Computed Tomography with Radiation Therapy and Immunomodulation in Precision … CM Prendergast, E Lopci, RD Seban et al.Oct 2023.
Evaluation of commonly used real world data sources submitted to ASCO journals: Initial steps toward furthering transparent reporting B Bates, B Kania, A Ketelhut et al.Oct 2023.
Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial. Kann BH, Likitlersuang J, Bontempi D et al.Jun 2023.
3D Capsule Networks for Brain Image Segmentation A. Avesta, Y. Hui, M. Aboian et al.May 2023.
Comparing Detection Schemes for Adversarial Images against Deep Learning Models for Cancer Imaging. Joel MZ, Avesta A, Yang DX et al.Mar 2023.
Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation. Avesta A, Hossain S, Lin M et al.Feb 2023.
Bladder Cancer Radiation Oncology of the Future: Prognostic Modelling, Radiomics, and Treatment Planning With Artificial Intelligence. Moore NS, McWilliam A, Aneja S.Jan 2023.
Development and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning S Hossain, A Avesta, A Nene et al.2023.
Systematic literature review of machine learning algorithms using pretherapy radiologic imaging for glioma molecular subtype prediction J Lost, T Verma, L Jekel et al.2023.
P13. 05. B INCORPORATION OF AI-BASED AUTOSEGMENTATION AND CLASSIFICATION INTO NEURORADIOLOGY WORKFLOW: PACS-BASED AI TO BUILD YALE GLIOMA DATASET N Tillmanns, J Lost, S Merkaj et al.2023.
Outlook of AI in Medical Physics and Radiation Oncology DX Yang, A Avesta, R Choi et al.2023.
Evaluation of studies with commonly used real world data sources submitted to ASCO journals: Initial steps toward furthering transparent reporting. B Bates, B Kania, A Ketelhut et al.2023.
Artificial Intelligence in Breast Cancer Screening: Evaluation of FDA Device Regulation and Future Recommendations. Potnis KC, Ross JS, Aneja S et al.Dec 2022.
Perspectives of Patients About Artificial Intelligence in Health Care. Khullar D, Casalino LP, Qian Y et al.May 2022.
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. Joel MZ, Umrao S, Chang E et al.Feb 2022.
Opportunities for integration of artificial intelligence into stereotactic radiosurgery practice. Kotecha R, Aneja S.Oct 2021.
Public vs physician views of liability for artificial intelligence in health care. Khullar D, Casalino LP, Qian Y et al.Jul 2021.
Comparison of radiomic feature aggregation methods for patients with multiple tumors. Chang E, Joel MZ, Chang HY et al.May 2021.
Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival. Yang DX, Khera R, Miccio JA et al.Mar 2021.
Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas. Peters GW, Tien CJ, Chiang V et al.2021.
National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation. Kang J, Thompson RF, Aneja S et al.Jan-Feb 2021.
Comparison of Radiomic Feature Aggregation Methods for Patients with Multiple Tumors. Chang E, Joel M, Chang HY et al.Nov 2020.
Provider Engagement in Radiation Oncology Data Science: Workshop Report. Jain AK, Aneja S, Fuller CD et al.Aug 2020.
Reply to A.B. Simon et al. Kann BH, Payabvash S, Aneja S.Jun 2020.
Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma. Kann BH, Hicks DF, Payabvash S et al.Apr 2020.
Applications of artificial intelligence in neuro-oncology. Aneja S, Chang E, Omuro A.Dec 2019.
Artificial Intelligence in Oncology: Current Applications and Future Directions. Kann BH, Thompson R, Thomas CR Jr et al.Feb 2019.
Career Enrichment Opportunities at the Scientific Frontier in Radiation Oncology. Thompson RF, Fuller CD, Berman AT et al.Feb 2019.
Artificial Intelligence in Radiation Oncology Imaging. Thompson RF, Valdes G, Fuller CD et al.Nov 2018.
Impact of Health Insurance Status on Prostate Cancer Treatment Modality Selection in the United States. Bledsoe TJ, Park HS, Rutter CE et al.Nov 2018.
The Future of Artificial Intelligence in Radiation Oncology. Thompson RF, Valdes G, Fuller CD et al.Oct 2018.
MRI-Ultrasound Fusion Targeted Biopsy of Prostate Imaging Reporting and Data System Version 2 Category 5 Lesions Found False-Positive at Multiparametric Prostate MRI. Sheridan AD, Nath SK, Aneja S et al.May 2018.
Risk of Clinically Significant Prostate Cancer Associated With Prostate Imaging Reporting and Data System Category 3 (Equivocal) Lesions Identified on Multiparametric Prostate MRI. Sheridan AD, Nath SK, Syed JS et al.Feb 2018.
Annual Facility Treatment Volume and Patient Survival for Mycosis Fungoides and Sézary Syndrome. Kann BH, Park HS, Yeboa DN et al.Aug 2017.
Differences in Funding Sources of Phase III Oncology Clinical Trials by Treatment Modality and Cancer Type. Jairam V, Yu JB, Aneja S et al.Jun 2017.
A PHASE II TRIAL OF BALLOON-CATHETER PARTIAL BREAST BRACHYTHERAPY OPTIMIZATION IN THE TREATMENT OF STAGE 0, I AND IIA BREAST CARCINOMA. Nath SK, Chen ZJ, Rowe BP et al.Dec 2014.
Comparative effectiveness research in radiation oncology: stereotactic radiosurgery, hypofractionation, and brachytherapy. Aneja S, Yu JB.Jan 2014.
National residency matching program results for radiation oncology: 2012 update. Aneja S, Wilson LD, Haffty BG et al.Jul 2013.
The influence of regional health system characteristics on the surgical management and receipt of post operative radiation therapy for glioblastoma multiforme. Aneja S, Khullar D, Yu JB.May 2013.
On dermatologist density and melanoma mortality-reply. Aneja S, Aneja S, Bordeaux JS.Sep 2012.
National Residency Matching Program (NRMP) results for radiation oncology: 2011 update. Aneja S, Wilson LD, Haffty BG et al.Jul 2012.
Hypofractionated radiation therapy for prostate cancer: risks and potential benefits in a fiscally conservative health care system. Aneja S, Pratiwadi RR, Yu JB.Jun 2012.
Geographic analysis of the radiation oncology workforce. Aneja S, Smith BD, Gross CP et al.Apr 2012.
Association of increased dermatologist density with lower melanoma mortality. Aneja S, Aneja S, Bordeaux JS.Feb 2012.
US cardiologist workforce from 1995 to 2007: modest growth, lasting geographic maldistribution especially in rural areas. Aneja S, Ross JS, Wang Y et al.Dec 2011.
National residency matching program (NRMP) results for radiation oncology: 2010 update. Aneja S, Wilson LD, Haffty BG et al.May 2011.
Association between admission neutrophil to lymphocyte ratio and outcomes in patients with acute coronary syndrome. Tamhane UU, Aneja S, Montgomery D et al.Sep 2008.
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