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Radiation Oncology
Smilow Cancer Hospital at Yale New Haven
35 Park Street
New Haven, CT 06511
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- Radiation OncologySmilow Cancer Hospital at Yale New Haven35 Park StreetNew Haven, CT 06511
- Smilow Cancer Hospital at Westerly25 Wells StreetWesterly, RI 02891
Sanjay Aneja, MD
Therapeutic Radiology
Telehealth is available
Patient type treated
Adult
Accepting new patients
Yes
Referral required
From patients or physicians
Biography
Sanjay Aneja, MD, is a radiation oncologist who cares for patients with genitourinary and central nervous system cancers. He provides radiation treatments tailored to each patient’s condition in order to help manage tumors in these sensitive areas.
As an assistant professor of therapeutic radiology at Yale School of Medicine, Dr. Aneja’s research explores the use of machine learning to improve cancer outcome prediction and patient care. He is the recipient of multiple national research awards from organizations including the National Institutes of Health, the National Science Foundation, and the American Cancer Society.
Dr. Aneja received his medical training at Yale School of Medicine, followed by an internship at Memorial Sloan Kettering Cancer Center. He then completed a residency in radiation oncology at Yale New Haven Hospital and a postdoctoral fellowship in machine learning, where he gained expertise in data-driven approaches to cancer care.
Titles
- Assistant Professor of Therapeutic Radiology
- Director of Clinical Informatics, Therapeutic Radiology
- Director Medical School Clerkship, Therapeutic Radiology
- Medical School Thesis Oversight, Therapeutic Radiology
- Radiation Safety, Therapeutic Radiology
- Assistant Cancer Center Director, Bioinformatics
Education & Training
- Radiation Oncology ResidentYale University School of Medicine (2018)
- Postdoctoral Research FellowCenter for Outcomes Research (CORE) (2017)
- Transitional Year ResidentMemorial-Sloan Kettering Cancer Center (2014)
- Research FellowCenter for Medicare Medicaid Innovation (CMMI) (2013)
- MDYale School of Medicine (2013)
- BAColumbia University, Applied Mathematics (2009)
Additional Information
Publications
- Avesta A, Hossain S, Lin M, Aboian M, Krumholz H, Aneja S. Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation. Bioengineering 2023, 10: 181. PMID: 36829675, PMCID: PMC9952534, DOI: 10.3390/bioengineering10020181.
- Potnis K, Ross J, Aneja S, Gross C, Richman I. Artificial Intelligence in Breast Cancer Screening. JAMA Internal Medicine 2022, 182: 1306-1312. PMID: 36342705, PMCID: PMC10623674, DOI: 10.1001/jamainternmed.2022.4969.
- Khullar D, Casalino LP, Qian Y, Lu Y, Krumholz HM, Aneja S. Perspectives of Patients About Artificial Intelligence in Health Care. JAMA Network Open 2022, 5: e2210309. PMID: 35507346, PMCID: PMC9069257, DOI: 10.1001/jamanetworkopen.2022.10309.
- Yang DX, Khera R, Miccio JA, Jairam V, Chang E, Yu JB, Park HS, Krumholz HM, Aneja S. Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival. JAMA Network Open 2021, 4: e211793. PMID: 33755165, PMCID: PMC7988369, DOI: 10.1001/jamanetworkopen.2021.1793.
- Khullar D, Casalino LP, Qian Y, Lu Y, Chang E, Aneja S. Public vs physician views of liability for artificial intelligence in health care. Journal Of The American Medical Informatics Association 2021, 28: 1574-1577. PMID: 33871009, PMCID: PMC8279784, DOI: 10.1093/jamia/ocab055.
- Chang E, Joel MZ, Chang HY, Du J, Khanna O, Omuro A, Chiang V, Aneja S. Comparison of radiomic feature aggregation methods for patients with multiple tumors. Scientific Reports 2021, 11: 9758. PMID: 33963236, PMCID: PMC8105371, DOI: 10.1038/s41598-021-89114-6.
- Joel MZ, Umrao S, Chang E, Choi R, Yang DX, Duncan JS, Omuro A, Herbst R, Krumholz HM, Aneja S. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. JCO Clinical Cancer Informatics 2022, 6: e2100170. PMID: 35271304, PMCID: PMC8932490, DOI: 10.1200/cci.21.00170.
- Fisk JN, Mahal AR, Dornburg A, Gaffney SG, Aneja S, Contessa JN, Rimm D, Yu JB, Townsend JP. Premetastatic shifts of endogenous and exogenous mutational processes support consolidative therapy in EGFR-driven lung adenocarcinoma. Cancer Letters 2021, 526: 346-351. PMID: 34780851, PMCID: PMC8702484, DOI: 10.1016/j.canlet.2021.11.011.
- Joel M, Avesta A, Yang D, Zhou J, Omuro A, Herbst R, Krumholz H, Aneja S. Comparing Detection Schemes for Adversarial Images against Deep Learning Models for Cancer Imaging. Cancers 2023, 15: 1548. PMID: 36900339, PMCID: PMC10000732, DOI: 10.3390/cancers15051548.
- Avesta A, Hui Y, Aboian M, Duncan J, Krumholz H, Aneja S. 3D Capsule Networks for Brain Image Segmentation. American Journal Of Neuroradiology 2023, 44: 562-568. PMID: 37080721, PMCID: PMC10171390, DOI: 10.3174/ajnr.a7845.
- Chadha S, Sritharan D, Hager T, D’Souza R, Aneja S. Emerging Trends in Artificial Intelligence in Neuro-Oncology. Current Oncology Reports 2025, 1-12. PMID: 40504358, DOI: 10.1007/s11912-025-01688-w.
- Lee V, Moore N, Doyle J, Hicks D, Oh P, Bodofsky S, Hossain S, Patel A, Aneja S, Homer R, Park H. Prediction of Lymph Node Metastasis in Non–Small Cell Lung Carcinoma Using Primary Tumor Somatic Mutation Data. JCO Clinical Cancer Informatics 2025, 9: e2400303. PMID: 40446175, DOI: 10.1200/cci-24-00303.
- Breuer G, Sritharan D, Chadha S, Hager T, Fu D, Aneja S. Enhancing prognostic accuracy in lung cancer brain metastases through histopathologic feature integration and AI-based image analysis. Journal Of Clinical Oncology 2025, 43: e13608-e13608. DOI: 10.1200/jco.2025.43.16_suppl.e13608.
- von Reppert M, Chadha S, Willms K, Avesta A, Maleki N, Zeevi T, Lost J, Tillmanns N, Jekel L, Merkaj S, Lin M, Hoffmann K, Aneja S, Aboian M. Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features. American Journal Of Neuroradiology 2025, 46: 1421-1428. PMID: 40250848, DOI: 10.3174/ajnr.a8805.
- Sperduto P, Marqueen K, Chang E, Li J, Davies M, Ebner D, Breen W, Lamba N, Shih H, Edwards D, Kim M, Mahal A, Rahman R, Ankrah N, Boggs D, Lewis C, Hyer D, Buatti J, Johri F, Soliman H, Masucci L, Roberge D, Aneja S, Chiang V, Phuong C, Braunstein S, Dajani S, Sachdev S, Wan Z, Niedzwiecki D, Vaios E, Kirkpatrick J, Pasetsky J, Wang T, Kutuk T, Kotecha R, Ross R, Rusthoven C, Nakano T, Tawbi H, Mehta M. Improved Survival and Prognostication in Melanoma Patients With Brain Metastases: An Update of the Melanoma Graded Prognostic Assessment. Journal Of Clinical Oncology 2025, 43: 1910-1919. PMID: 40245362, PMCID: PMC12119226, DOI: 10.1200/jco-24-01351.
- Rashedi S, Bejjani A, Hunsaker A, Aghayev A, Khairani C, McGonagle B, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Monreal M, Barco S, Secemsky E, Klok F, Muriel A, Hussain M, Appah-Sampong A, Rahaghi F, Sadeghipour P, Lin Z, Mojibian H, Aneja S, Konstantinides S, Goldhaber S, Wang L, Zhou L, Jimenez D, Krumholz H, Piazza G, Bikdeli B, Investigators T. Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports. Thrombosis Research 2025, 247: 109271. PMID: 39862754, DOI: 10.1016/j.thromres.2025.109271.
- Dierksen F, Sommer J, Tran A, Lin H, Haider S, Maier I, Aneja S, Sanelli P, Malhotra A, Qureshi A, Claassen J, Park S, Murthy S, Falcone G, Sheth K, Payabvash S. Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT). Diagnostics 2024, 14: 2827. PMID: 39767188, PMCID: PMC11674633, DOI: 10.3390/diagnostics14242827.
- Tran A, Desser D, Zeevi T, Abou Karam G, Dierksen F, Dell'Orco A, Kniep H, Hanning U, Fiehler J, Zietz J, Sanelli P, Malhotra A, Duncan J, Aneja S, Falcone G, Qureshi A, Sheth K, Nawabi J, Payabvash S. A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence. Bioengineering 2024, 11: 1274. PMID: 39768092, PMCID: PMC11672977, DOI: 10.3390/bioengineering11121274.
- Shen J, Sritharan D, Yu J, Aneja S. Comparative Effectiveness of SBRT. 2024, 455-467. DOI: 10.1007/978-3-031-67743-4_33.
- RADT-12. DERIVING IMAGING BIOMARKERS FOR PRIMARY CENTRAL NERVOUS SYSTEM LYMPHOMA USING DEEP LEARNINGZhu J, Hager T, Chadha S, Sritharan D, Weiss D, Hossain S, Osenberg K, Moore N, Aneja S. RADT-12. DERIVING IMAGING BIOMARKERS FOR PRIMARY CENTRAL NERVOUS SYSTEM LYMPHOMA USING DEEP LEARNING. Neuro-Oncology 2024, 26: viii74-viii74. PMCID: PMC11553274, DOI: 10.1093/neuonc/noae165.0296.
- Bikdeli B, Khairani C, Bejjani A, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Rashedi S, Jimenez D, Barco S, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Mojibian H, Aneja S, Khera R, Konstantinides S, Goldhaber S, Wang L, Zhou L, Monreal M, Piazza G, Krumholz H, Investigators P. Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism. Journal Of Thrombosis And Haemostasis 2024, 23: 556-564. PMID: 39505153, DOI: 10.1016/j.jtha.2024.10.013.
- Liu C, Amodio M, Shen L, Gao F, Avesta A, Aneja S, Wang J, Del Priore L, Krishnaswamy S. CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation. Lecture Notes In Computer Science 2024, 15008: 155-165. DOI: 10.1007/978-3-031-72111-3_15.
- Moore N, Laird J, Verma N, Hager T, Sritharan D, Lee V, Maresca R, Chadha S, Park H, Aneja S. Applying Language Models to Radiology Text for Identifying Oligometastatic Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2024, 120: e644. DOI: 10.1016/j.ijrobp.2024.07.1417.
- Lee V, Park H, Aneja S, Patel A. A Comparison of Machine Learning Models to Predict Lymph Node Metastasis with Primary Tumor Transcriptome in Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2024, 120: e638. DOI: 10.1016/j.ijrobp.2024.07.1402.
- Weiss D, Hager T, Aboian M, Lin M, Bousabarah K, Renninghoff D, Holler W, Simmons K, Loh S, Fischer U, Deuschl C, Aneja S, Aboian E. Acceleration of Volumetric Abdominal Aortic Aneurysm Measurements by Leveraging Artificial Intelligence. Journal Of Vascular Surgery 2024, 80: e37-e38. DOI: 10.1016/j.jvs.2024.06.066.
- Aneja S, Parikh R. Cancer Informatics: Novel Methods and Applications of Artificial Intelligence in Cancer Care Delivery. Yearbook Of Medical Informatics 2024, 33: 099-101. PMID: 40199295, PMCID: PMC12020643, DOI: 10.1055/s-0044-1800727.
- Weiss D, Hager T, Aboian M, Lin M, Renninghoff D, Holler W, Fischer U, Deuschl C, Aneja S, Aboian E. Artificial Intelligence-based Morpho-volumetric Analysis of Pre- and Post-EVAR Infrarenal Abdominal Aortic Aneurysms Characterized on Computed Tomography Angiography. Journal Of Vascular Surgery 2024, 79: e133-e134. DOI: 10.1016/j.jvs.2024.03.165.
- Lee V, King A, Sritharan D, Moore N, Chadha S, Maresca R, Hager T, Aneja S. Lymph node metastasis prediction with non-small cell lung cancer histopathology imaging. Journal Of Clinical Oncology 2024, 42: 8063-8063. DOI: 10.1200/jco.2024.42.16_suppl.8063.
- Willms K, Zeevi T, Chadha S, von Reppert M, Lost J, Tillmanns N, Merkaj S, Huttner A, Aneja S, Aboian M. Differentiation of IDH-mutant Glioma Subtypes Using Unsupervised Dimensionality Reduction of MRI Biomarkers. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/3094.
- Chadha S, Jacobs S, Zeevi T, Tillmanns N, Merkaj S, Lost J, Lin M, Bousabarah K, Holler W, Memon F, Aneja S, Aboian M. Automated MR Spectroscopy single-voxel placement in suspected diffuse glioma based on tumor biology. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/5120.
- Bikdeli B, Bejjani A, Lo Y, Khairani C, Mahajan S, Secemsky E, Jimenez J, Aghayev A, Hunsaker A, Wang L, Hussain M, Appah-Sampong A, Mojibian H, Lin Z, Aneja S, Barco S, Klok F, Konstantinides S, Zhou L, Monreal M, Jimenez D, Piazza G, Krumholz H. OPTIMIZING PHENOTYPING ALGORITHMS FOR IDENTIFYING PULMONARY EMBOLISM IN ELECTRONIC DATABASES: THE MULTICENTER PE-EHR+ STUDY. Journal Of The American College Of Cardiology 2024, 83: 2108. DOI: 10.1016/s0735-1097(24)04098-1.
- Ramakrishnan D, Brüningk S, von Reppert M, Memon F, Maleki N, Aneja S, Kazerooni A, Nabavizadeh A, Lin M, Bousabarah K, Molinaro A, Nicolaides T, Prados M, Mueller S, Aboian M. Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment of BRAF V600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial. American Journal Of Neuroradiology 2024, 45: 475-482. PMID: 38453411, PMCID: PMC11288571, DOI: 10.3174/ajnr.a8189.
- Ramakrishnan D, Jekel L, Chadha S, Janas A, Moy H, Maleki N, Sala M, Kaur M, Petersen G, Merkaj S, von Reppert M, Baid U, Bakas S, Kirsch C, Davis M, Bousabarah K, Holler W, Lin M, Westerhoff M, Aneja S, Memon F, Aboian M. A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information. Scientific Data 2024, 11: 254. PMID: 38424079, PMCID: PMC10904366, DOI: 10.1038/s41597-024-03021-9.
- Lost J, Ashraf N, Jekel L, von Reppert M, Tillmanns N, Willms K, Merkaj S, Petersen G, Avesta A, Ramakrishnan D, Omuro A, Nabavizadeh A, Bakas S, Bousabarah K, Lin M, Aneja S, Sabel M, Aboian M. Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging. Neuro-Oncology Advances 2024, 6: vdae157. PMID: 39659829, PMCID: PMC11630777, DOI: 10.1093/noajnl/vdae157.
- von Reppert M, Ramakrishnan D, Brüningk S, Memon F, Fadel S, Maleki N, Bahar R, Avesta A, Jekel L, Sala M, Lost J, Tillmanns N, Kaur M, Aneja S, Kazerooni A, Nabavizadeh A, Lin M, Hoffmann K, Bousabarah K, Swanson K, Haas-Kogan D, Mueller S, Aboian M. Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial. Neuro-Oncology Advances 2023, 6: vdad172. PMID: 38221978, PMCID: PMC10785766, DOI: 10.1093/noajnl/vdad172.
- Tillmanns N, Lost J, Tabor J, Vasandani S, Vetsa S, Marianayagam N, Yalcin K, Erson-Omay E, von Reppert M, Jekel L, Merkaj S, Ramakrishnan D, Avesta A, de Oliveira Santo I, Jin L, Huttner A, Bousabarah K, Ikuta I, Lin M, Aneja S, Turowski B, Aboian M, Moliterno J. Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas. Scientific Reports 2023, 13: 22942. PMID: 38135704, PMCID: PMC10746716, DOI: 10.1038/s41598-023-48918-4.
- Prendergast C, Lopci E, Seban R, De Jong D, Ammari S, Aneja S, Lévy A, Sajan A, Salvatore M, Cappacione K, Schwartz L, Deutsch E, Dercle L. Integrating [18F]-Fluorodeoxyglucose Positron Emission Tomography with Computed Tomography with Radiation Therapy and Immunomodulation in Precision Therapy for Solid Tumors. Cancers 2023, 15: 5179. PMID: 37958353, PMCID: PMC10648321, DOI: 10.3390/cancers15215179.
- Mange A, Singh C, Theriault B, Hansen J, An Y, Aneja S, Chiang V. Selected-Lesion Stereotactic Radiosurgery in Treatment of Patients with Multiple Brain Metastases: A Single Institution Retrospective Study. International Journal Of Radiation Oncology • Biology • Physics 2023, 117: e135. DOI: 10.1016/j.ijrobp.2023.06.939.
- Hossain S, Hossain S, Avesta A, Nene A, Maresca R, Aneja S. Development and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning. International Journal Of Radiation Oncology • Biology • Physics 2023, 117: e393. DOI: 10.1016/j.ijrobp.2023.06.1517.
- Kaur M, Petersen G, Jekel L, von Reppert M, Varghese S, de Oliveira Santo I, Avesta A, Aneja S, Omuro A, Chiang V, Aboian M. PACS-Integrated Tools for Peritumoral Edema Volumetrics Provide Additional Information to RANO-BM-Based Assessment of Lung Cancer Brain Metastases after Stereotactic Radiotherapy: A Pilot Study. Cancers 2023, 15: 4822. PMID: 37835516, PMCID: PMC10571649, DOI: 10.3390/cancers15194822.
- Lost J, Verma T, Jekel L, von Reppert M, Tillmanns N, Merkaj S, Petersen G, Bahar R, Gordem A, Haider M, Subramanian H, Brim W, Ikuta I, Omuro A, Conte G, Marquez-Nostra B, Avesta A, Bousabarah K, Nabavizadeh A, Kazerooni A, Aneja S, Bakas S, Lin M, Sabel M, Aboian M. Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction. American Journal Of Neuroradiology 2023, 44: 1126-1134. PMID: 37770204, PMCID: PMC10549943, DOI: 10.3174/ajnr.a8000.
- Tillmanns N, Lost J, Tabor J, Vasandani S, Vetsa S, Marianayagam N, Yalcin K, Erson-Omay Z, von Reppert M, Jekel L, Merkaj S, Ramakrishnan D, Avesta A, de Oliveira Santo I, Jin L, Huttner A, Bousabarah K, Ikuta I, Lin M, Aneja S, Turowski B, Aboian M, Moliterno J. P13.02.A APPLICATION OF NOVEL PACS-BASED INFORMATICS PLATFORM TO IDENTIFY IMAGING BASED PREDICTORS OF CDKN2A ALLELIC STATUS IN GLIOBLASTOMAS. Neuro-Oncology 2023, 25: ii100-ii101. PMCID: PMC10489329, DOI: 10.1093/neuonc/noad137.336.
- Tillmanns N, Lost J, Merkaj S, von Reppert M, Chadha S, Lin M, Bousabarah K, Huttner A, Aneja S, Avesta A, Omuro A, Aboian M. P13.05.B INCORPORATION OF AI-BASED AUTOSEGMENTATION AND CLASSIFICATION INTO NEURORADIOLOGY WORKFLOW: PACS-BASED AI TO BUILD YALE GLIOMA DATASET. Neuro-Oncology 2023, 25: ii101-ii101. PMCID: PMC10489908, DOI: 10.1093/neuonc/noad137.339.
- Aneja S, Avesta A, Xu H, Machado L. Clinical Informatics Approaches to Facilitate Cancer Data Sharing. Yearbook Of Medical Informatics 2023, 32: 104-110. PMID: 37414028, PMCID: PMC10751108, DOI: 10.1055/s-0043-1768721.
- Yang D, Avesta A, Choi R, Aneja S. Outlook of AI in Medical Physics and Radiation Oncology. 2023, 145-164. DOI: 10.1201/9781003094333-8.
- Sala M, Lost J, Tillmanns N, Merkaj S, von Reppert M, Ramakrishnan D, Bousabarah K, Huttner A, Aneja S, Avesta A, Omuro A, Aboian M. The Yale Glioma Dataset: Developing An Open Access, Annotated MRI Database. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/4511.
- Avesta A, Hossain S, Lin M, Aboian M, Krumholz H, Aneja S. Comparing 3D, 2.5D, and 2D Approaches to Brain MRI Segmentation. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0804.
- Kann B, Likitlersuang J, Bontempi D, Ye Z, Aneja S, Bakst R, Kelly H, Juliano A, Payabvash S, Guenette J, Uppaluri R, Margalit D, Schoenfeld J, Tishler R, Haddad R, Aerts H, Garcia J, Flamand Y, Subramaniam R, Burtness B, Ferris R. 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. The Lancet Digital Health 2023, 5: e360-e369. PMID: 37087370, PMCID: PMC10245380, DOI: 10.1016/s2589-7500(23)00046-8.
- Bikdeli B, Lo Y, Khairani C, Bejjani A, Jimenez D, Barco S, Mahajan S, Caraballo C, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Wang Y, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Aneja S, Khera R, Goldhaber S, Zhou L, Monreal M, Krumholz H, Piazza G. Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study. Thrombosis And Haemostasis 2023, 123: 649-662. PMID: 36809777, PMCID: PMC11200175, DOI: 10.1055/a-2039-3222.
- Johnson S, King A, Warner E, Aneja S, Kann B, Bylund C. Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information. JNCI Cancer Spectrum 2023, 7: pkad015. PMID: 36929393, PMCID: PMC10020140, DOI: 10.1093/jncics/pkad015.
- Ramakrishnan D, von Reppert M, Krycia M, Sala M, Mueller S, Aneja S, Nabavizadeh A, Galldiks N, Lohmann P, Raji C, Ikuta I, Memon F, Weinberg B, Aboian M. Evolution and implementation of radiographic response criteria in neuro-oncology. Neuro-Oncology Advances 2023, 5: vdad118. PMID: 37860269, PMCID: PMC10584081, DOI: 10.1093/noajnl/vdad118.
- Moore N, McWilliam A, Aneja S. Bladder Cancer Radiation Oncology of the Future: Prognostic Modelling, Radiomics, and Treatment Planning With Artificial Intelligence. Seminars In Radiation Oncology 2023, 33: 70-75. PMID: 36517196, DOI: 10.1016/j.semradonc.2022.10.009.
- Jekel L, Bousabarah K, Lin M, Merkaj S, Kaur M, Avesta A, Aneja S, Omuro A, Chiang V, Scheffler B, Aboian M. NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET. Neuro-Oncology 2022, 24: vii162-vii162. PMCID: PMC9661012, DOI: 10.1093/neuonc/noac209.622.
- Lost J, Tillmans N, Merkaj S, von Reppert M, Lin M, Bousabarah K, Huttner A, Aneja S, Omuro A, Aboian M, Avesta A. NIMG-20. INCORPORATION OF AI-BASED AUTOSEGMENTATION AND CLASSIFICATION INTO NEURORADIOLOGY WORKFLOW: PACS-BASED AI TO BUILD YALE GLIOMA DATASET. Neuro-Oncology 2022, 24: vii165-vii166. DOI: 10.1093/neuonc/noac209.638.
- Choi R, Joel M, Hui M, Aneja S. Deep learning algorithm to predict pathologic complete response to neoadjuvant chemotherapy for breast cancer prior to treatment. Journal Of Clinical Oncology 2022, 40: 600-600. DOI: 10.1200/jco.2022.40.16_suppl.600.
- Kotecha R, Aneja S. Opportunities for integration of artificial intelligence into stereotactic radiosurgery practice. Neuro-Oncology 2021, 23: 1629-1630. PMID: 34244803, PMCID: PMC8485447, DOI: 10.1093/neuonc/noab169.
- Peters GW, Tien CJ, Chiang V, Yu J, Hansen JE, Aneja S. Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas. Journal Of Radiosurgery And SBRT 2021, 7: 207-212. PMID: 33898084, PMCID: PMC8055239.
- Jain AK, Aneja S, Fuller CD, Dicker AP, Chung C, Kim E, Kirby JS, Quon H, Lam CJK, Louv WC, Ahern C, Xiao Y, McNutt TR, Housri N, Ennis RD, Kang J, Tang Y, Higley H, Berny-Lang MA, Camphausen KA. Provider Engagement in Radiation Oncology Data Science: Workshop Report. JCO Clinical Cancer Informatics 2020, 4: 700-710. PMID: 32755458, PMCID: PMC7469584, DOI: 10.1200/cci.20.00051.
- Yang D, Miccio J, Jairam V, Chang E, Yu J, Park H, Aneja S. The Impact of Missing/Incomplete Data in Real-World Data Studies. International Journal Of Radiation Oncology • Biology • Physics 2020, 108: e394. DOI: 10.1016/j.ijrobp.2020.07.2432.
- Chang E, Du J, Decker R, Yu J, Park H, Aneja S. Development and Validation of a Deep Learning Algorithm to Predict Radiation Pneumonitis and Esophagitis Following Lung Stereotactic Body Radiation Therapy. International Journal Of Radiation Oncology • Biology • Physics 2020, 108: e14. DOI: 10.1016/j.ijrobp.2020.02.496.
- Kann BH, Hicks DF, Payabvash S, Mahajan A, Du J, Gupta V, Park HS, Yu JB, Yarbrough WG, Burtness BA, Husain ZA, Aneja S. Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma. Journal Of Clinical Oncology 2019, 38: 1304-1311. PMID: 31815574, DOI: 10.1200/jco.19.02031.
- Aneja S, Chang E, Omuro A. Applications of artificial intelligence in neuro-oncology. Current Opinion In Neurology 2019, 32: 850-856. PMID: 31609739, DOI: 10.1097/wco.0000000000000761.
- Aneja S, Omuro A. Imaging biomarkers for brain metastases: more than meets the eye. Neuro-Oncology 2019, 21: 1493-1494. PMID: 31777936, PMCID: PMC6917408, DOI: 10.1093/neuonc/noz193.
- Miccio J, Johnson S, Jairam V, Yu J, Hansen J, Aneja S, An Y, Decker R, Omay S, Chiang V, Park H. Upfront Stereotactic Radiosurgery in the Treatment of Brain Metastasis from Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2019, 105: e81-e82. DOI: 10.1016/j.ijrobp.2019.06.2348.
- Kann B, Hicks D, Payabvash S, Mahajan A, Gupta V, Burtness B, Husain Z, Aneja S. External Validation and Radiologist Comparison of a Deep Learning Model (DLM) to Identify Extranodal Extension (ENE) in Head and Neck Squamous Cell Carcinoma (HNSCC) with Pretreatment Computed Tomography (CT) Imaging. International Journal Of Radiation Oncology • Biology • Physics 2019, 105: s71. DOI: 10.1016/j.ijrobp.2019.06.525.
- Aneja S, Yu J. 14. Big Data and Radiation Oncology. 2019, 287-298. DOI: 10.36019/9780813592565-016.
- Aneja S, Kumar R, Yu J. Comparative Effectiveness of SBRT. 2019, 415-424. DOI: 10.1007/978-3-030-16924-4_34.
- Thompson RF, Fuller CD, Berman AT, Aneja S, Thomas CR. Career Enrichment Opportunities at the Scientific Frontier in Radiation Oncology. JCO Clinical Cancer Informatics 2019, 3: 1-4. PMID: 30817170, PMCID: PMC6582958, DOI: 10.1200/cci.18.00126.
- Kann BH, Thompson R, Thomas CR, Dicker A, Aneja S. Artificial Intelligence in Oncology: Current Applications and Future Directions. Oncology 2019, 33: 46-53. PMID: 30784028.
- Aneja S, Yu J. Statistical Modeling for Clinical Cancer Research. 2018 DOI: 10.1891/9781617052392.0012.
- Aneja S, Yu J. Machine Learning and High-Dimensional Data Analysis. 2018 DOI: 10.1891/9781617052392.0017.
- Kann B, Aneja S, Loganadane G, Kelly J, Smith S, Decker R, Yarbrough W, Malhotra A, Burtness B, Husain Z. Successful Identification of Head and Neck Cancer (HNC) Nodal Metastasis (NM) and Extranodal Extension (ENE) Using Deep Learning Neural Networks. International Journal Of Radiation Oncology • Biology • Physics 2018, 102: s60. DOI: 10.1016/j.ijrobp.2018.06.169.
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. Artificial Intelligence in Radiation Oncology Imaging. International Journal Of Radiation Oncology • Biology • Physics 2018, 102: 1159-1161. PMID: 30353870, DOI: 10.1016/j.ijrobp.2018.05.070.
- Kann BH, Aneja S, Loganadane GV, Kelly JR, Smith SM, Decker RH, Yu JB, Park HS, Yarbrough WG, Malhotra A, Burtness BA, Husain ZA. Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks. Scientific Reports 2018, 8: 14036. PMID: 30232350, PMCID: PMC6145900, DOI: 10.1038/s41598-018-32441-y.
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation? Radiotherapy And Oncology 2018, 129: 421-426. PMID: 29907338, PMCID: PMC9620952, DOI: 10.1016/j.radonc.2018.05.030.
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. The Future of Artificial Intelligence in Radiation Oncology. International Journal Of Radiation Oncology • Biology • Physics 2018, 102: 247-248. PMID: 30191856, DOI: 10.1016/j.ijrobp.2018.05.072.
- Sheridan AD, Nath SK, Aneja S, Syed JS, Pahade J, Mathur M, Sprenkle P, Weinreb JC, Spektor M. MRI-Ultrasound Fusion Targeted Biopsy of Prostate Imaging Reporting and Data System Version 2 Category 5 Lesions Found False-Positive at Multiparametric Prostate MRI. American Journal Of Roentgenology 2018, 210: w218-w225. PMID: 29489409, DOI: 10.2214/ajr.17.18680.
- Sheridan AD, Nath SK, Syed JS, Aneja S, Sprenkle PC, Weinreb JC, Spektor M. Risk of Clinically Significant Prostate Cancer Associated With Prostate Imaging Reporting and Data System Category 3 (Equivocal) Lesions Identified on Multiparametric Prostate MRI. American Journal Of Roentgenology 2017, 210: 347-357. PMID: 29112469, DOI: 10.2214/ajr.17.18516.
- Aneja S, Shaham U, Kumar R, Pirakitikulr N, Nath S, Yu J, Carlson D, Decker R. Deep Neural Network to Predict Local Failure Following Stereotactic Body Radiation Therapy: Integrating Imaging and Clinical Data to Predict Outcomes. International Journal Of Radiation Oncology • Biology • Physics 2017, 99: s47. DOI: 10.1016/j.ijrobp.2017.06.120.
- Kann B, Park H, Yeboa D, Aneja S, Girardi M, Foss F, Roberts K, Wilson L. Annual Facility Treatment Volume and Patient Survival for Mycosis Fungoides and Sézary Syndrome. International Journal Of Radiation Oncology • Biology • Physics 2017, 99: e430. DOI: 10.1016/j.ijrobp.2017.06.1632.
- Aneja S, Yu J. The Effect of Marital Status on Health-Related Quality of Life in Elderly Patients Undergoing Radiation Therapy. International Journal Of Radiation Oncology • Biology • Physics 2016, 96: s161. DOI: 10.1016/j.ijrobp.2016.06.389.
- Bledsoe T, Park H, Rutter C, Aneja S, Yu J. Minimally Invasive Surgery and External Beam Radiation Therapy Selection for Prostate Cancer Varies Significantly by Health Insurance Status. International Journal Of Radiation Oncology • Biology • Physics 2015, 93: e358-e359. DOI: 10.1016/j.ijrobp.2015.07.1461.
- Stahl J, Corso C, An Y, Aneja S, Rutter C, Park H, Mancini B, Yeboa D, Lester-Coll N, Han D, Roberts K. The Effect of Margin Status and Radiation Therapy on Survival in Adult Retroperitoneal Soft Tissue Sarcomas. International Journal Of Radiation Oncology • Biology • Physics 2015, 93: e638. DOI: 10.1016/j.ijrobp.2015.07.2175.
- Yeboa D, Aneja S, Montana G, Roberts K, Yu J. Historical trends of radiotherapy use in prevalent malignancies over 38 years in SEER. Journal Of Radiation Oncology 2015, 4: 11-17. DOI: 10.1007/s13566-015-0182-y.
- Yeboa D, Roberts K, Aneja S, Yu J. Historical Trends of Radiation Therapy Use in Prevalent Malignancies. International Journal Of Radiation Oncology • Biology • Physics 2014, 90: s599-s600. DOI: 10.1016/j.ijrobp.2014.05.1796.
- Nath S, Chen Z, Rowe B, Blitzblau R, Aneja S, Grube B, Horowitz N, Weidhaas J. Using Skin Dose Parameters Predicts Low Skin Toxicity in a Phase 2 Trial of Multiple Dwell Position Balloon-Based Brachytherapy for Partial Breast Irradiation. International Journal Of Radiation Oncology • Biology • Physics 2013, 87: s213. DOI: 10.1016/j.ijrobp.2013.06.551.
- Aneja S, Roberts K, Wilson L, Haffty B, Montana G, Yu J. A 35-year History of Radiation Therapy Utilization Across the United States. International Journal Of Radiation Oncology • Biology • Physics 2012, 84: s546-s547. DOI: 10.1016/j.ijrobp.2012.07.1457.
- Lloyd S, Buscariollo D, Gross C, Makarov D, Yu J, Aneja S. The Funding of Phase III Clinical Trials Examining Radiation Compared With That of Other Modalities. International Journal Of Radiation Oncology • Biology • Physics 2012, 84: s44-s45. DOI: 10.1016/j.ijrobp.2012.07.326.
- Aneja S, Yu J. The Influence of Regional Health System Resources on Receipt of Postoperative Radiation Therapy for Glioblastoma Multiforme. International Journal Of Radiation Oncology • Biology • Physics 2012, 84: s265. DOI: 10.1016/j.ijrobp.2012.07.691.
- Chan D, Aneja S, Honda K, Carlson S, Yao M, Katcher J, Cooper K. Radiation therapy in the management of unilesional primary cutaneous T‐cell lymphomas. British Journal Of Dermatology 2012, 166: 1134-1137. PMID: 22059744, DOI: 10.1111/j.1365-2133.2011.10728.x.
- Aneja S, Gross C, Makarov D, Roberts K, Yu J. The Influence of Regional Radiation Oncologist and Urologist Capacities on Treatment Choice for Prostate Cancer. International Journal Of Radiation Oncology • Biology • Physics 2011, 81: s552. DOI: 10.1016/j.ijrobp.2011.06.869.
- Aneja S, Yu J. Radiation oncologist density and prostate cancer mortality. Journal Of Clinical Oncology 2011, 29: 72-72. DOI: 10.1200/jco.2011.29.7_suppl.72.
- Aneja S, Yu J. Radiation oncologist density and esophageal cancer mortality. Journal Of Clinical Oncology 2011, 29: 116-116. DOI: 10.1200/jco.2011.29.4_suppl.116.
- Aneja S, Yu J. Radiation oncologist density and pancreatic cancer mortality. Journal Of Clinical Oncology 2011, 29: 350-350. DOI: 10.1200/jco.2011.29.4_suppl.350.
Locations
1
Radiation Oncology
Smilow Cancer Hospital at Yale New Haven
35 Park Street
New Haven, CT 06511
1 of 2
- Radiation OncologySmilow Cancer Hospital at Yale New Haven35 Park StreetNew Haven, CT 06511
- Smilow Cancer Hospital at Westerly25 Wells StreetWesterly, RI 02891
Biography
Sanjay Aneja, MD, is a radiation oncologist who cares for patients with genitourinary and central nervous system cancers. He provides radiation treatments tailored to each patient’s condition in order to help manage tumors in these sensitive areas.
As an assistant professor of therapeutic radiology at Yale School of Medicine, Dr. Aneja’s research explores the use of machine learning to improve cancer outcome prediction and patient care. He is the recipient of multiple national research awards from organizations including the National Institutes of Health, the National Science Foundation, and the American Cancer Society.
Dr. Aneja received his medical training at Yale School of Medicine, followed by an internship at Memorial Sloan Kettering Cancer Center. He then completed a residency in radiation oncology at Yale New Haven Hospital and a postdoctoral fellowship in machine learning, where he gained expertise in data-driven approaches to cancer care.
Titles
- Assistant Professor of Therapeutic Radiology
- Director of Clinical Informatics, Therapeutic Radiology
- Director Medical School Clerkship, Therapeutic Radiology
- Medical School Thesis Oversight, Therapeutic Radiology
- Radiation Safety, Therapeutic Radiology
- Assistant Cancer Center Director, Bioinformatics
Education & Training
- Radiation Oncology ResidentYale University School of Medicine (2018)
- Postdoctoral Research FellowCenter for Outcomes Research (CORE) (2017)
- Transitional Year ResidentMemorial-Sloan Kettering Cancer Center (2014)
- Research FellowCenter for Medicare Medicaid Innovation (CMMI) (2013)
- MDYale School of Medicine (2013)
- BAColumbia University, Applied Mathematics (2009)
Additional Information
Publications
- Avesta A, Hossain S, Lin M, Aboian M, Krumholz H, Aneja S. Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation. Bioengineering 2023, 10: 181. PMID: 36829675, PMCID: PMC9952534, DOI: 10.3390/bioengineering10020181.
- Potnis K, Ross J, Aneja S, Gross C, Richman I. Artificial Intelligence in Breast Cancer Screening. JAMA Internal Medicine 2022, 182: 1306-1312. PMID: 36342705, PMCID: PMC10623674, DOI: 10.1001/jamainternmed.2022.4969.
- Khullar D, Casalino LP, Qian Y, Lu Y, Krumholz HM, Aneja S. Perspectives of Patients About Artificial Intelligence in Health Care. JAMA Network Open 2022, 5: e2210309. PMID: 35507346, PMCID: PMC9069257, DOI: 10.1001/jamanetworkopen.2022.10309.
- Yang DX, Khera R, Miccio JA, Jairam V, Chang E, Yu JB, Park HS, Krumholz HM, Aneja S. Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival. JAMA Network Open 2021, 4: e211793. PMID: 33755165, PMCID: PMC7988369, DOI: 10.1001/jamanetworkopen.2021.1793.
- Khullar D, Casalino LP, Qian Y, Lu Y, Chang E, Aneja S. Public vs physician views of liability for artificial intelligence in health care. Journal Of The American Medical Informatics Association 2021, 28: 1574-1577. PMID: 33871009, PMCID: PMC8279784, DOI: 10.1093/jamia/ocab055.
- Chang E, Joel MZ, Chang HY, Du J, Khanna O, Omuro A, Chiang V, Aneja S. Comparison of radiomic feature aggregation methods for patients with multiple tumors. Scientific Reports 2021, 11: 9758. PMID: 33963236, PMCID: PMC8105371, DOI: 10.1038/s41598-021-89114-6.
- Joel MZ, Umrao S, Chang E, Choi R, Yang DX, Duncan JS, Omuro A, Herbst R, Krumholz HM, Aneja S. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. JCO Clinical Cancer Informatics 2022, 6: e2100170. PMID: 35271304, PMCID: PMC8932490, DOI: 10.1200/cci.21.00170.
- Fisk JN, Mahal AR, Dornburg A, Gaffney SG, Aneja S, Contessa JN, Rimm D, Yu JB, Townsend JP. Premetastatic shifts of endogenous and exogenous mutational processes support consolidative therapy in EGFR-driven lung adenocarcinoma. Cancer Letters 2021, 526: 346-351. PMID: 34780851, PMCID: PMC8702484, DOI: 10.1016/j.canlet.2021.11.011.
- Joel M, Avesta A, Yang D, Zhou J, Omuro A, Herbst R, Krumholz H, Aneja S. Comparing Detection Schemes for Adversarial Images against Deep Learning Models for Cancer Imaging. Cancers 2023, 15: 1548. PMID: 36900339, PMCID: PMC10000732, DOI: 10.3390/cancers15051548.
- Avesta A, Hui Y, Aboian M, Duncan J, Krumholz H, Aneja S. 3D Capsule Networks for Brain Image Segmentation. American Journal Of Neuroradiology 2023, 44: 562-568. PMID: 37080721, PMCID: PMC10171390, DOI: 10.3174/ajnr.a7845.
- Chadha S, Sritharan D, Hager T, D’Souza R, Aneja S. Emerging Trends in Artificial Intelligence in Neuro-Oncology. Current Oncology Reports 2025, 1-12. PMID: 40504358, DOI: 10.1007/s11912-025-01688-w.
- Lee V, Moore N, Doyle J, Hicks D, Oh P, Bodofsky S, Hossain S, Patel A, Aneja S, Homer R, Park H. Prediction of Lymph Node Metastasis in Non–Small Cell Lung Carcinoma Using Primary Tumor Somatic Mutation Data. JCO Clinical Cancer Informatics 2025, 9: e2400303. PMID: 40446175, DOI: 10.1200/cci-24-00303.
- Breuer G, Sritharan D, Chadha S, Hager T, Fu D, Aneja S. Enhancing prognostic accuracy in lung cancer brain metastases through histopathologic feature integration and AI-based image analysis. Journal Of Clinical Oncology 2025, 43: e13608-e13608. DOI: 10.1200/jco.2025.43.16_suppl.e13608.
- von Reppert M, Chadha S, Willms K, Avesta A, Maleki N, Zeevi T, Lost J, Tillmanns N, Jekel L, Merkaj S, Lin M, Hoffmann K, Aneja S, Aboian M. Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features. American Journal Of Neuroradiology 2025, 46: 1421-1428. PMID: 40250848, DOI: 10.3174/ajnr.a8805.
- Sperduto P, Marqueen K, Chang E, Li J, Davies M, Ebner D, Breen W, Lamba N, Shih H, Edwards D, Kim M, Mahal A, Rahman R, Ankrah N, Boggs D, Lewis C, Hyer D, Buatti J, Johri F, Soliman H, Masucci L, Roberge D, Aneja S, Chiang V, Phuong C, Braunstein S, Dajani S, Sachdev S, Wan Z, Niedzwiecki D, Vaios E, Kirkpatrick J, Pasetsky J, Wang T, Kutuk T, Kotecha R, Ross R, Rusthoven C, Nakano T, Tawbi H, Mehta M. Improved Survival and Prognostication in Melanoma Patients With Brain Metastases: An Update of the Melanoma Graded Prognostic Assessment. Journal Of Clinical Oncology 2025, 43: 1910-1919. PMID: 40245362, PMCID: PMC12119226, DOI: 10.1200/jco-24-01351.
- Rashedi S, Bejjani A, Hunsaker A, Aghayev A, Khairani C, McGonagle B, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Monreal M, Barco S, Secemsky E, Klok F, Muriel A, Hussain M, Appah-Sampong A, Rahaghi F, Sadeghipour P, Lin Z, Mojibian H, Aneja S, Konstantinides S, Goldhaber S, Wang L, Zhou L, Jimenez D, Krumholz H, Piazza G, Bikdeli B, Investigators T. Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports. Thrombosis Research 2025, 247: 109271. PMID: 39862754, DOI: 10.1016/j.thromres.2025.109271.
- Dierksen F, Sommer J, Tran A, Lin H, Haider S, Maier I, Aneja S, Sanelli P, Malhotra A, Qureshi A, Claassen J, Park S, Murthy S, Falcone G, Sheth K, Payabvash S. Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT). Diagnostics 2024, 14: 2827. PMID: 39767188, PMCID: PMC11674633, DOI: 10.3390/diagnostics14242827.
- Tran A, Desser D, Zeevi T, Abou Karam G, Dierksen F, Dell'Orco A, Kniep H, Hanning U, Fiehler J, Zietz J, Sanelli P, Malhotra A, Duncan J, Aneja S, Falcone G, Qureshi A, Sheth K, Nawabi J, Payabvash S. A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence. Bioengineering 2024, 11: 1274. PMID: 39768092, PMCID: PMC11672977, DOI: 10.3390/bioengineering11121274.
- Shen J, Sritharan D, Yu J, Aneja S. Comparative Effectiveness of SBRT. 2024, 455-467. DOI: 10.1007/978-3-031-67743-4_33.
- RADT-12. DERIVING IMAGING BIOMARKERS FOR PRIMARY CENTRAL NERVOUS SYSTEM LYMPHOMA USING DEEP LEARNINGZhu J, Hager T, Chadha S, Sritharan D, Weiss D, Hossain S, Osenberg K, Moore N, Aneja S. RADT-12. DERIVING IMAGING BIOMARKERS FOR PRIMARY CENTRAL NERVOUS SYSTEM LYMPHOMA USING DEEP LEARNING. Neuro-Oncology 2024, 26: viii74-viii74. PMCID: PMC11553274, DOI: 10.1093/neuonc/noae165.0296.
- Bikdeli B, Khairani C, Bejjani A, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Rashedi S, Jimenez D, Barco S, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Mojibian H, Aneja S, Khera R, Konstantinides S, Goldhaber S, Wang L, Zhou L, Monreal M, Piazza G, Krumholz H, Investigators P. Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism. Journal Of Thrombosis And Haemostasis 2024, 23: 556-564. PMID: 39505153, DOI: 10.1016/j.jtha.2024.10.013.
- Liu C, Amodio M, Shen L, Gao F, Avesta A, Aneja S, Wang J, Del Priore L, Krishnaswamy S. CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation. Lecture Notes In Computer Science 2024, 15008: 155-165. DOI: 10.1007/978-3-031-72111-3_15.
- Moore N, Laird J, Verma N, Hager T, Sritharan D, Lee V, Maresca R, Chadha S, Park H, Aneja S. Applying Language Models to Radiology Text for Identifying Oligometastatic Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2024, 120: e644. DOI: 10.1016/j.ijrobp.2024.07.1417.
- Lee V, Park H, Aneja S, Patel A. A Comparison of Machine Learning Models to Predict Lymph Node Metastasis with Primary Tumor Transcriptome in Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2024, 120: e638. DOI: 10.1016/j.ijrobp.2024.07.1402.
- Weiss D, Hager T, Aboian M, Lin M, Bousabarah K, Renninghoff D, Holler W, Simmons K, Loh S, Fischer U, Deuschl C, Aneja S, Aboian E. Acceleration of Volumetric Abdominal Aortic Aneurysm Measurements by Leveraging Artificial Intelligence. Journal Of Vascular Surgery 2024, 80: e37-e38. DOI: 10.1016/j.jvs.2024.06.066.
- Aneja S, Parikh R. Cancer Informatics: Novel Methods and Applications of Artificial Intelligence in Cancer Care Delivery. Yearbook Of Medical Informatics 2024, 33: 099-101. PMID: 40199295, PMCID: PMC12020643, DOI: 10.1055/s-0044-1800727.
- Weiss D, Hager T, Aboian M, Lin M, Renninghoff D, Holler W, Fischer U, Deuschl C, Aneja S, Aboian E. Artificial Intelligence-based Morpho-volumetric Analysis of Pre- and Post-EVAR Infrarenal Abdominal Aortic Aneurysms Characterized on Computed Tomography Angiography. Journal Of Vascular Surgery 2024, 79: e133-e134. DOI: 10.1016/j.jvs.2024.03.165.
- Lee V, King A, Sritharan D, Moore N, Chadha S, Maresca R, Hager T, Aneja S. Lymph node metastasis prediction with non-small cell lung cancer histopathology imaging. Journal Of Clinical Oncology 2024, 42: 8063-8063. DOI: 10.1200/jco.2024.42.16_suppl.8063.
- Willms K, Zeevi T, Chadha S, von Reppert M, Lost J, Tillmanns N, Merkaj S, Huttner A, Aneja S, Aboian M. Differentiation of IDH-mutant Glioma Subtypes Using Unsupervised Dimensionality Reduction of MRI Biomarkers. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/3094.
- Chadha S, Jacobs S, Zeevi T, Tillmanns N, Merkaj S, Lost J, Lin M, Bousabarah K, Holler W, Memon F, Aneja S, Aboian M. Automated MR Spectroscopy single-voxel placement in suspected diffuse glioma based on tumor biology. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/5120.
- Bikdeli B, Bejjani A, Lo Y, Khairani C, Mahajan S, Secemsky E, Jimenez J, Aghayev A, Hunsaker A, Wang L, Hussain M, Appah-Sampong A, Mojibian H, Lin Z, Aneja S, Barco S, Klok F, Konstantinides S, Zhou L, Monreal M, Jimenez D, Piazza G, Krumholz H. OPTIMIZING PHENOTYPING ALGORITHMS FOR IDENTIFYING PULMONARY EMBOLISM IN ELECTRONIC DATABASES: THE MULTICENTER PE-EHR+ STUDY. Journal Of The American College Of Cardiology 2024, 83: 2108. DOI: 10.1016/s0735-1097(24)04098-1.
- Ramakrishnan D, Brüningk S, von Reppert M, Memon F, Maleki N, Aneja S, Kazerooni A, Nabavizadeh A, Lin M, Bousabarah K, Molinaro A, Nicolaides T, Prados M, Mueller S, Aboian M. Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment of BRAF V600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial. American Journal Of Neuroradiology 2024, 45: 475-482. PMID: 38453411, PMCID: PMC11288571, DOI: 10.3174/ajnr.a8189.
- Ramakrishnan D, Jekel L, Chadha S, Janas A, Moy H, Maleki N, Sala M, Kaur M, Petersen G, Merkaj S, von Reppert M, Baid U, Bakas S, Kirsch C, Davis M, Bousabarah K, Holler W, Lin M, Westerhoff M, Aneja S, Memon F, Aboian M. A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information. Scientific Data 2024, 11: 254. PMID: 38424079, PMCID: PMC10904366, DOI: 10.1038/s41597-024-03021-9.
- Lost J, Ashraf N, Jekel L, von Reppert M, Tillmanns N, Willms K, Merkaj S, Petersen G, Avesta A, Ramakrishnan D, Omuro A, Nabavizadeh A, Bakas S, Bousabarah K, Lin M, Aneja S, Sabel M, Aboian M. Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging. Neuro-Oncology Advances 2024, 6: vdae157. PMID: 39659829, PMCID: PMC11630777, DOI: 10.1093/noajnl/vdae157.
- von Reppert M, Ramakrishnan D, Brüningk S, Memon F, Fadel S, Maleki N, Bahar R, Avesta A, Jekel L, Sala M, Lost J, Tillmanns N, Kaur M, Aneja S, Kazerooni A, Nabavizadeh A, Lin M, Hoffmann K, Bousabarah K, Swanson K, Haas-Kogan D, Mueller S, Aboian M. Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial. Neuro-Oncology Advances 2023, 6: vdad172. PMID: 38221978, PMCID: PMC10785766, DOI: 10.1093/noajnl/vdad172.
- Tillmanns N, Lost J, Tabor J, Vasandani S, Vetsa S, Marianayagam N, Yalcin K, Erson-Omay E, von Reppert M, Jekel L, Merkaj S, Ramakrishnan D, Avesta A, de Oliveira Santo I, Jin L, Huttner A, Bousabarah K, Ikuta I, Lin M, Aneja S, Turowski B, Aboian M, Moliterno J. Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas. Scientific Reports 2023, 13: 22942. PMID: 38135704, PMCID: PMC10746716, DOI: 10.1038/s41598-023-48918-4.
- Prendergast C, Lopci E, Seban R, De Jong D, Ammari S, Aneja S, Lévy A, Sajan A, Salvatore M, Cappacione K, Schwartz L, Deutsch E, Dercle L. Integrating [18F]-Fluorodeoxyglucose Positron Emission Tomography with Computed Tomography with Radiation Therapy and Immunomodulation in Precision Therapy for Solid Tumors. Cancers 2023, 15: 5179. PMID: 37958353, PMCID: PMC10648321, DOI: 10.3390/cancers15215179.
- Mange A, Singh C, Theriault B, Hansen J, An Y, Aneja S, Chiang V. Selected-Lesion Stereotactic Radiosurgery in Treatment of Patients with Multiple Brain Metastases: A Single Institution Retrospective Study. International Journal Of Radiation Oncology • Biology • Physics 2023, 117: e135. DOI: 10.1016/j.ijrobp.2023.06.939.
- Hossain S, Hossain S, Avesta A, Nene A, Maresca R, Aneja S. Development and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning. International Journal Of Radiation Oncology • Biology • Physics 2023, 117: e393. DOI: 10.1016/j.ijrobp.2023.06.1517.
- Kaur M, Petersen G, Jekel L, von Reppert M, Varghese S, de Oliveira Santo I, Avesta A, Aneja S, Omuro A, Chiang V, Aboian M. PACS-Integrated Tools for Peritumoral Edema Volumetrics Provide Additional Information to RANO-BM-Based Assessment of Lung Cancer Brain Metastases after Stereotactic Radiotherapy: A Pilot Study. Cancers 2023, 15: 4822. PMID: 37835516, PMCID: PMC10571649, DOI: 10.3390/cancers15194822.
- Lost J, Verma T, Jekel L, von Reppert M, Tillmanns N, Merkaj S, Petersen G, Bahar R, Gordem A, Haider M, Subramanian H, Brim W, Ikuta I, Omuro A, Conte G, Marquez-Nostra B, Avesta A, Bousabarah K, Nabavizadeh A, Kazerooni A, Aneja S, Bakas S, Lin M, Sabel M, Aboian M. Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction. American Journal Of Neuroradiology 2023, 44: 1126-1134. PMID: 37770204, PMCID: PMC10549943, DOI: 10.3174/ajnr.a8000.
- Tillmanns N, Lost J, Tabor J, Vasandani S, Vetsa S, Marianayagam N, Yalcin K, Erson-Omay Z, von Reppert M, Jekel L, Merkaj S, Ramakrishnan D, Avesta A, de Oliveira Santo I, Jin L, Huttner A, Bousabarah K, Ikuta I, Lin M, Aneja S, Turowski B, Aboian M, Moliterno J. P13.02.A APPLICATION OF NOVEL PACS-BASED INFORMATICS PLATFORM TO IDENTIFY IMAGING BASED PREDICTORS OF CDKN2A ALLELIC STATUS IN GLIOBLASTOMAS. Neuro-Oncology 2023, 25: ii100-ii101. PMCID: PMC10489329, DOI: 10.1093/neuonc/noad137.336.
- Tillmanns N, Lost J, Merkaj S, von Reppert M, Chadha S, Lin M, Bousabarah K, Huttner A, Aneja S, Avesta A, Omuro A, Aboian M. P13.05.B INCORPORATION OF AI-BASED AUTOSEGMENTATION AND CLASSIFICATION INTO NEURORADIOLOGY WORKFLOW: PACS-BASED AI TO BUILD YALE GLIOMA DATASET. Neuro-Oncology 2023, 25: ii101-ii101. PMCID: PMC10489908, DOI: 10.1093/neuonc/noad137.339.
- Aneja S, Avesta A, Xu H, Machado L. Clinical Informatics Approaches to Facilitate Cancer Data Sharing. Yearbook Of Medical Informatics 2023, 32: 104-110. PMID: 37414028, PMCID: PMC10751108, DOI: 10.1055/s-0043-1768721.
- Yang D, Avesta A, Choi R, Aneja S. Outlook of AI in Medical Physics and Radiation Oncology. 2023, 145-164. DOI: 10.1201/9781003094333-8.
- Sala M, Lost J, Tillmanns N, Merkaj S, von Reppert M, Ramakrishnan D, Bousabarah K, Huttner A, Aneja S, Avesta A, Omuro A, Aboian M. The Yale Glioma Dataset: Developing An Open Access, Annotated MRI Database. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/4511.
- Avesta A, Hossain S, Lin M, Aboian M, Krumholz H, Aneja S. Comparing 3D, 2.5D, and 2D Approaches to Brain MRI Segmentation. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0804.
- Kann B, Likitlersuang J, Bontempi D, Ye Z, Aneja S, Bakst R, Kelly H, Juliano A, Payabvash S, Guenette J, Uppaluri R, Margalit D, Schoenfeld J, Tishler R, Haddad R, Aerts H, Garcia J, Flamand Y, Subramaniam R, Burtness B, Ferris R. 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. The Lancet Digital Health 2023, 5: e360-e369. PMID: 37087370, PMCID: PMC10245380, DOI: 10.1016/s2589-7500(23)00046-8.
- Bikdeli B, Lo Y, Khairani C, Bejjani A, Jimenez D, Barco S, Mahajan S, Caraballo C, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Wang Y, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Aneja S, Khera R, Goldhaber S, Zhou L, Monreal M, Krumholz H, Piazza G. Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study. Thrombosis And Haemostasis 2023, 123: 649-662. PMID: 36809777, PMCID: PMC11200175, DOI: 10.1055/a-2039-3222.
- Johnson S, King A, Warner E, Aneja S, Kann B, Bylund C. Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information. JNCI Cancer Spectrum 2023, 7: pkad015. PMID: 36929393, PMCID: PMC10020140, DOI: 10.1093/jncics/pkad015.
- Ramakrishnan D, von Reppert M, Krycia M, Sala M, Mueller S, Aneja S, Nabavizadeh A, Galldiks N, Lohmann P, Raji C, Ikuta I, Memon F, Weinberg B, Aboian M. Evolution and implementation of radiographic response criteria in neuro-oncology. Neuro-Oncology Advances 2023, 5: vdad118. PMID: 37860269, PMCID: PMC10584081, DOI: 10.1093/noajnl/vdad118.
- Moore N, McWilliam A, Aneja S. Bladder Cancer Radiation Oncology of the Future: Prognostic Modelling, Radiomics, and Treatment Planning With Artificial Intelligence. Seminars In Radiation Oncology 2023, 33: 70-75. PMID: 36517196, DOI: 10.1016/j.semradonc.2022.10.009.
- Jekel L, Bousabarah K, Lin M, Merkaj S, Kaur M, Avesta A, Aneja S, Omuro A, Chiang V, Scheffler B, Aboian M. NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET. Neuro-Oncology 2022, 24: vii162-vii162. PMCID: PMC9661012, DOI: 10.1093/neuonc/noac209.622.
- Lost J, Tillmans N, Merkaj S, von Reppert M, Lin M, Bousabarah K, Huttner A, Aneja S, Omuro A, Aboian M, Avesta A. NIMG-20. INCORPORATION OF AI-BASED AUTOSEGMENTATION AND CLASSIFICATION INTO NEURORADIOLOGY WORKFLOW: PACS-BASED AI TO BUILD YALE GLIOMA DATASET. Neuro-Oncology 2022, 24: vii165-vii166. DOI: 10.1093/neuonc/noac209.638.
- Choi R, Joel M, Hui M, Aneja S. Deep learning algorithm to predict pathologic complete response to neoadjuvant chemotherapy for breast cancer prior to treatment. Journal Of Clinical Oncology 2022, 40: 600-600. DOI: 10.1200/jco.2022.40.16_suppl.600.
- Kotecha R, Aneja S. Opportunities for integration of artificial intelligence into stereotactic radiosurgery practice. Neuro-Oncology 2021, 23: 1629-1630. PMID: 34244803, PMCID: PMC8485447, DOI: 10.1093/neuonc/noab169.
- Peters GW, Tien CJ, Chiang V, Yu J, Hansen JE, Aneja S. Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas. Journal Of Radiosurgery And SBRT 2021, 7: 207-212. PMID: 33898084, PMCID: PMC8055239.
- Jain AK, Aneja S, Fuller CD, Dicker AP, Chung C, Kim E, Kirby JS, Quon H, Lam CJK, Louv WC, Ahern C, Xiao Y, McNutt TR, Housri N, Ennis RD, Kang J, Tang Y, Higley H, Berny-Lang MA, Camphausen KA. Provider Engagement in Radiation Oncology Data Science: Workshop Report. JCO Clinical Cancer Informatics 2020, 4: 700-710. PMID: 32755458, PMCID: PMC7469584, DOI: 10.1200/cci.20.00051.
- Yang D, Miccio J, Jairam V, Chang E, Yu J, Park H, Aneja S. The Impact of Missing/Incomplete Data in Real-World Data Studies. International Journal Of Radiation Oncology • Biology • Physics 2020, 108: e394. DOI: 10.1016/j.ijrobp.2020.07.2432.
- Chang E, Du J, Decker R, Yu J, Park H, Aneja S. Development and Validation of a Deep Learning Algorithm to Predict Radiation Pneumonitis and Esophagitis Following Lung Stereotactic Body Radiation Therapy. International Journal Of Radiation Oncology • Biology • Physics 2020, 108: e14. DOI: 10.1016/j.ijrobp.2020.02.496.
- Kann BH, Hicks DF, Payabvash S, Mahajan A, Du J, Gupta V, Park HS, Yu JB, Yarbrough WG, Burtness BA, Husain ZA, Aneja S. Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma. Journal Of Clinical Oncology 2019, 38: 1304-1311. PMID: 31815574, DOI: 10.1200/jco.19.02031.
- Aneja S, Chang E, Omuro A. Applications of artificial intelligence in neuro-oncology. Current Opinion In Neurology 2019, 32: 850-856. PMID: 31609739, DOI: 10.1097/wco.0000000000000761.
- Aneja S, Omuro A. Imaging biomarkers for brain metastases: more than meets the eye. Neuro-Oncology 2019, 21: 1493-1494. PMID: 31777936, PMCID: PMC6917408, DOI: 10.1093/neuonc/noz193.
- Miccio J, Johnson S, Jairam V, Yu J, Hansen J, Aneja S, An Y, Decker R, Omay S, Chiang V, Park H. Upfront Stereotactic Radiosurgery in the Treatment of Brain Metastasis from Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2019, 105: e81-e82. DOI: 10.1016/j.ijrobp.2019.06.2348.
- Kann B, Hicks D, Payabvash S, Mahajan A, Gupta V, Burtness B, Husain Z, Aneja S. External Validation and Radiologist Comparison of a Deep Learning Model (DLM) to Identify Extranodal Extension (ENE) in Head and Neck Squamous Cell Carcinoma (HNSCC) with Pretreatment Computed Tomography (CT) Imaging. International Journal Of Radiation Oncology • Biology • Physics 2019, 105: s71. DOI: 10.1016/j.ijrobp.2019.06.525.
- Aneja S, Yu J. 14. Big Data and Radiation Oncology. 2019, 287-298. DOI: 10.36019/9780813592565-016.
- Aneja S, Kumar R, Yu J. Comparative Effectiveness of SBRT. 2019, 415-424. DOI: 10.1007/978-3-030-16924-4_34.
- Thompson RF, Fuller CD, Berman AT, Aneja S, Thomas CR. Career Enrichment Opportunities at the Scientific Frontier in Radiation Oncology. JCO Clinical Cancer Informatics 2019, 3: 1-4. PMID: 30817170, PMCID: PMC6582958, DOI: 10.1200/cci.18.00126.
- Kann BH, Thompson R, Thomas CR, Dicker A, Aneja S. Artificial Intelligence in Oncology: Current Applications and Future Directions. Oncology 2019, 33: 46-53. PMID: 30784028.
- Aneja S, Yu J. Statistical Modeling for Clinical Cancer Research. 2018 DOI: 10.1891/9781617052392.0012.
- Aneja S, Yu J. Machine Learning and High-Dimensional Data Analysis. 2018 DOI: 10.1891/9781617052392.0017.
- Kann B, Aneja S, Loganadane G, Kelly J, Smith S, Decker R, Yarbrough W, Malhotra A, Burtness B, Husain Z. Successful Identification of Head and Neck Cancer (HNC) Nodal Metastasis (NM) and Extranodal Extension (ENE) Using Deep Learning Neural Networks. International Journal Of Radiation Oncology • Biology • Physics 2018, 102: s60. DOI: 10.1016/j.ijrobp.2018.06.169.
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. Artificial Intelligence in Radiation Oncology Imaging. International Journal Of Radiation Oncology • Biology • Physics 2018, 102: 1159-1161. PMID: 30353870, DOI: 10.1016/j.ijrobp.2018.05.070.
- Kann BH, Aneja S, Loganadane GV, Kelly JR, Smith SM, Decker RH, Yu JB, Park HS, Yarbrough WG, Malhotra A, Burtness BA, Husain ZA. Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks. Scientific Reports 2018, 8: 14036. PMID: 30232350, PMCID: PMC6145900, DOI: 10.1038/s41598-018-32441-y.
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation? Radiotherapy And Oncology 2018, 129: 421-426. PMID: 29907338, PMCID: PMC9620952, DOI: 10.1016/j.radonc.2018.05.030.
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. The Future of Artificial Intelligence in Radiation Oncology. International Journal Of Radiation Oncology • Biology • Physics 2018, 102: 247-248. PMID: 30191856, DOI: 10.1016/j.ijrobp.2018.05.072.
- Sheridan AD, Nath SK, Aneja S, Syed JS, Pahade J, Mathur M, Sprenkle P, Weinreb JC, Spektor M. MRI-Ultrasound Fusion Targeted Biopsy of Prostate Imaging Reporting and Data System Version 2 Category 5 Lesions Found False-Positive at Multiparametric Prostate MRI. American Journal Of Roentgenology 2018, 210: w218-w225. PMID: 29489409, DOI: 10.2214/ajr.17.18680.
- Sheridan AD, Nath SK, Syed JS, Aneja S, Sprenkle PC, Weinreb JC, Spektor M. Risk of Clinically Significant Prostate Cancer Associated With Prostate Imaging Reporting and Data System Category 3 (Equivocal) Lesions Identified on Multiparametric Prostate MRI. American Journal Of Roentgenology 2017, 210: 347-357. PMID: 29112469, DOI: 10.2214/ajr.17.18516.
- Aneja S, Shaham U, Kumar R, Pirakitikulr N, Nath S, Yu J, Carlson D, Decker R. Deep Neural Network to Predict Local Failure Following Stereotactic Body Radiation Therapy: Integrating Imaging and Clinical Data to Predict Outcomes. International Journal Of Radiation Oncology • Biology • Physics 2017, 99: s47. DOI: 10.1016/j.ijrobp.2017.06.120.
- Kann B, Park H, Yeboa D, Aneja S, Girardi M, Foss F, Roberts K, Wilson L. Annual Facility Treatment Volume and Patient Survival for Mycosis Fungoides and Sézary Syndrome. International Journal Of Radiation Oncology • Biology • Physics 2017, 99: e430. DOI: 10.1016/j.ijrobp.2017.06.1632.
- Aneja S, Yu J. The Effect of Marital Status on Health-Related Quality of Life in Elderly Patients Undergoing Radiation Therapy. International Journal Of Radiation Oncology • Biology • Physics 2016, 96: s161. DOI: 10.1016/j.ijrobp.2016.06.389.
- Bledsoe T, Park H, Rutter C, Aneja S, Yu J. Minimally Invasive Surgery and External Beam Radiation Therapy Selection for Prostate Cancer Varies Significantly by Health Insurance Status. International Journal Of Radiation Oncology • Biology • Physics 2015, 93: e358-e359. DOI: 10.1016/j.ijrobp.2015.07.1461.
- Stahl J, Corso C, An Y, Aneja S, Rutter C, Park H, Mancini B, Yeboa D, Lester-Coll N, Han D, Roberts K. The Effect of Margin Status and Radiation Therapy on Survival in Adult Retroperitoneal Soft Tissue Sarcomas. International Journal Of Radiation Oncology • Biology • Physics 2015, 93: e638. DOI: 10.1016/j.ijrobp.2015.07.2175.
- Yeboa D, Aneja S, Montana G, Roberts K, Yu J. Historical trends of radiotherapy use in prevalent malignancies over 38 years in SEER. Journal Of Radiation Oncology 2015, 4: 11-17. DOI: 10.1007/s13566-015-0182-y.
- Yeboa D, Roberts K, Aneja S, Yu J. Historical Trends of Radiation Therapy Use in Prevalent Malignancies. International Journal Of Radiation Oncology • Biology • Physics 2014, 90: s599-s600. DOI: 10.1016/j.ijrobp.2014.05.1796.
- Nath S, Chen Z, Rowe B, Blitzblau R, Aneja S, Grube B, Horowitz N, Weidhaas J. Using Skin Dose Parameters Predicts Low Skin Toxicity in a Phase 2 Trial of Multiple Dwell Position Balloon-Based Brachytherapy for Partial Breast Irradiation. International Journal Of Radiation Oncology • Biology • Physics 2013, 87: s213. DOI: 10.1016/j.ijrobp.2013.06.551.
- Aneja S, Roberts K, Wilson L, Haffty B, Montana G, Yu J. A 35-year History of Radiation Therapy Utilization Across the United States. International Journal Of Radiation Oncology • Biology • Physics 2012, 84: s546-s547. DOI: 10.1016/j.ijrobp.2012.07.1457.
- Lloyd S, Buscariollo D, Gross C, Makarov D, Yu J, Aneja S. The Funding of Phase III Clinical Trials Examining Radiation Compared With That of Other Modalities. International Journal Of Radiation Oncology • Biology • Physics 2012, 84: s44-s45. DOI: 10.1016/j.ijrobp.2012.07.326.
- Aneja S, Yu J. The Influence of Regional Health System Resources on Receipt of Postoperative Radiation Therapy for Glioblastoma Multiforme. International Journal Of Radiation Oncology • Biology • Physics 2012, 84: s265. DOI: 10.1016/j.ijrobp.2012.07.691.
- Chan D, Aneja S, Honda K, Carlson S, Yao M, Katcher J, Cooper K. Radiation therapy in the management of unilesional primary cutaneous T‐cell lymphomas. British Journal Of Dermatology 2012, 166: 1134-1137. PMID: 22059744, DOI: 10.1111/j.1365-2133.2011.10728.x.
- Aneja S, Gross C, Makarov D, Roberts K, Yu J. The Influence of Regional Radiation Oncologist and Urologist Capacities on Treatment Choice for Prostate Cancer. International Journal Of Radiation Oncology • Biology • Physics 2011, 81: s552. DOI: 10.1016/j.ijrobp.2011.06.869.
- Aneja S, Yu J. Radiation oncologist density and prostate cancer mortality. Journal Of Clinical Oncology 2011, 29: 72-72. DOI: 10.1200/jco.2011.29.7_suppl.72.
- Aneja S, Yu J. Radiation oncologist density and esophageal cancer mortality. Journal Of Clinical Oncology 2011, 29: 116-116. DOI: 10.1200/jco.2011.29.4_suppl.116.
- Aneja S, Yu J. Radiation oncologist density and pancreatic cancer mortality. Journal Of Clinical Oncology 2011, 29: 350-350. DOI: 10.1200/jco.2011.29.4_suppl.350.
Locations
1
Radiation Oncology
Smilow Cancer Hospital at Yale New Haven
35 Park Street
New Haven, CT 06511
1 of 2
- Radiation OncologySmilow Cancer Hospital at Yale New Haven35 Park StreetNew Haven, CT 06511
- Smilow Cancer Hospital at Westerly25 Wells StreetWesterly, RI 02891
1
Radiation Oncology
Smilow Cancer Hospital at Yale New Haven
35 Park Street
New Haven, CT 06511
1 of 2
- Radiation OncologySmilow Cancer Hospital at Yale New Haven35 Park StreetNew Haven, CT 06511
- Smilow Cancer Hospital at Westerly25 Wells StreetWesterly, RI 02891