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, 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 : Official Journal Of The American Society Of Clinical Oncology 2020, 38: 1304-1311. PMID: 31815574, DOI: 10.1200/JCO.19.02031.
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology.
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.
Perspectives of Patients About Artificial Intelligence in Health Care.
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.
Artificial Intelligence in Oncology: Current Applications and Future Directions.
Kann BH, Thompson R, Thomas CR, Dicker A, Aneja S. Artificial Intelligence in Oncology: Current Applications and Future Directions. Oncology (Williston Park, N.Y.) 2019, 33: 46-53. PMID: 30784028.
Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival.
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.
Comparison of radiomic feature aggregation methods for patients with multiple tumors.
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.
Public vs physician views of liability for artificial intelligence in health care.
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 : JAMIA 2021, 28: 1574-1577. PMID: 33871009, PMCID: PMC8279784, DOI: 10.1093/jamia/ocab055.
Imaging biomarkers for brain metastases: more than meets the eye.
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.
Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas.
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.
Applications of artificial intelligence in neuro-oncology.
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.
Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks.
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.
Artificial Intelligence in Radiation Oncology Imaging.
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.
The Future of Artificial Intelligence in Radiation Oncology.
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.
Career Enrichment Opportunities at the Scientific Frontier in Radiation Oncology.
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.
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, 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. AJR. American Journal Of Roentgenology 2018, 210: 347-357. PMID: 29112469, DOI: 10.2214/AJR.17.18516.
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
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 : Journal Of The European Society For Therapeutic Radiology And Oncology 2018, 129: 421-426. PMID: 29907338, DOI: 10.1016/j.radonc.2018.05.030.

Patient Care Organizations

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Click here to view more about this specialist's research and educational efforts onhttps://medicine.yale.edu

Titles

Assistant Professor of Therapeutic Radiology
Director of Clinical Informatics, Therapeutic Radiology
Co-Director Medical School Clerkship, Therapeutic Radiology
Medical School Thesis Oversight, Therapeutic Radiology
Radiation Safety, Therapeutic Radiology

Education & Training

Radiation Oncology Resident
Yale University School of Medicine (2018)
Postdoctoral Research Fellow
Center for Outcomes Research (CORE) (2017)
Transitional Year Resident
Memorial-Sloan Kettering Cancer Center (2014)
Research Fellow
Center for Medicare Medicaid Innovation (CMMI) (2013)
MD
Yale School of Medicine (2013)
BA
Columbia University, Applied Mathematics (2009)

Additional Information

Publications

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, 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 : Official Journal Of The American Society Of Clinical Oncology 2020, 38: 1304-1311. PMID: 31815574, DOI: 10.1200/JCO.19.02031.
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology.
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.
Perspectives of Patients About Artificial Intelligence in Health Care.
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.
Artificial Intelligence in Oncology: Current Applications and Future Directions.
Kann BH, Thompson R, Thomas CR, Dicker A, Aneja S. Artificial Intelligence in Oncology: Current Applications and Future Directions. Oncology (Williston Park, N.Y.) 2019, 33: 46-53. PMID: 30784028.
Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival.
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.
Comparison of radiomic feature aggregation methods for patients with multiple tumors.
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.
Public vs physician views of liability for artificial intelligence in health care.
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 : JAMIA 2021, 28: 1574-1577. PMID: 33871009, PMCID: PMC8279784, DOI: 10.1093/jamia/ocab055.
Imaging biomarkers for brain metastases: more than meets the eye.
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.
Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas.
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.
Applications of artificial intelligence in neuro-oncology.
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.
Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks.
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.
Artificial Intelligence in Radiation Oncology Imaging.
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.
The Future of Artificial Intelligence in Radiation Oncology.
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.
Career Enrichment Opportunities at the Scientific Frontier in Radiation Oncology.
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.
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, 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. AJR. American Journal Of Roentgenology 2018, 210: 347-357. PMID: 29112469, DOI: 10.2214/AJR.17.18516.
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
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 : Journal Of The European Society For Therapeutic Radiology And Oncology 2018, 129: 421-426. PMID: 29907338, DOI: 10.1016/j.radonc.2018.05.030.

Patient Care Organizations

Radiation Oncology

Smilow Cancer Hospital at Yale New Haven

35 Park Street

New Haven, CT 06511

Directions

Radiation Oncology
Smilow Cancer Hospital at Yale New Haven
35 Park Street
New Haven, CT 06511
- Directions