Alex Raman, DO
Hometown
Marlboro, NJ 
Education/Training
College: B.S. Computational and Systems Biology, UCLA
Graduate: M.S. Bioinformatics, UCLA
Medical School: Western University of Health Sciences
Internship Institution: Kaiser Permanente Los Angeles Medical Center, General Surgery
Professional Interests
Interventional Radiology, Neurointerventional Radiology
Hobbies
Tennis, Snowboarding, Hiking, Pickleball, Thai Food
What are you looking forward to doing in the Denver area?
I look forward to living near some of the best snowboarding in the country - Breckenridge, Vail, and Winter Park. Also excited to check out hiking trails like the Sky Pond Trail, Mount Bierstadt, and Quandary Peak.
Honors and Awards
Best abstract presentation at the International Conference on Machine Learning and Applications 2023
RSNA Medical Student Research Grant 2022
Professional Organizations, Boards, and Advisory Committees
American College of Radiology, American Society of Neuroradiology, Society of Interventional Radiology
Presentations
Raman, A., Fisher, D., Rich, J., Mushtaq, E., Oberai, A., & Duddalwar, V.. Evaluation of the State-of-the-Art Model in Kidney Tumor Segmentation on a Large Independent Patient Cohort. Oral presentation: International Conference on Machine Learning and Applications; 04/17/2023. Boston, MA, United States of America.Raman, A., Pinto, S., Patel, V., Acharya, J., & Rajamohan, A.. An Image Guided Approach to an Atlanto-Axial Facet Steroid Injection. Oral presentation: American Society of Spine Radiology Conference; 02/20/2021. Virtual Meeting, CA, United States of America.
Raman, A., Riskin-Jones, H., Raman, S., Mirak, S., Sarma, K., Priester, A., Dhinagar, N., Speier, W., Felker, E., Lu, D., Kinnaird, A., Marks, L., & Arnold, C.. Can a Regionally Targeted Prostate Biopsy be an Alternative to Combined Systematic & MRI-Targeted Biopsy for 3T Multiparametric MRI derived PIRADS >= 3 Targets?. Oral presentation: Society of Abdominal Radiology; 03/22/2021. Digital Meeting, CA, United States of America.
Rich, J., Raman, A., Duddalwar, V., Oberai, A., . Deep Learning Based Image Segmentation of Prostate Cancer Bone Metastases with nnUNet. Oral presentation: International Conference on Machine Learning and Applications; 04/17/2023. Boston, MA, United States of America.
Publications
Dhinagar, N., Speier, W., Sarma, K., Raman, A., Kinnaird, A., Raman, S., Marks, L., & Arnold, C.. Semi-Automated PIRADS Scoring via mpMRI Analysis. Society of Photo-optical Instrumentation Engineers, Journal of Medical Imaging. January 2021; 7(6):064501.Article URL: https://pubmed.ncbi.nlm.nih.gov/33392358/
Garg, T., Gowda, P., Gong, A., Khalil, A., Weinstein, R., Raman, A., Latif, A., Mitchell, S., & Weiss, C.. Clinical Outcomes, Imaging Outcomes, and Safety of Sclerotherapy for Superficial Venous Malformations Involving the Scalp. Journal of NeuroInterventional Surgery. July 2022; 14(Suppl 1):A86-A86.
Article URL: https://jnis.bmj.com/content/14/Suppl_1/A86.1
Gowda, P., Khalil, A., Garg, T., Gong, A., Raman, A., Weinstein, R., Morefield, W., Mitchell, S., & Weiss, C.. Assessing Safety and Clinical Outcomes of Patients Receiving Serial Doxycycline Exchange Sclerotherapy for Lymphatic Malformations. Journal of Vascular and Interventional Radiology. June 2022; 33(6):S18-S19.
Article URL: https://www.jvir.org/article/S1051-0443(22)00278-0/fulltext
Keneko, M., Magoulianitis, V., Ramacciotti, L., Raman, A., Paralkar, D., Chen, A., Chu, T., Yang, Y., Xue, J., Yang, J., Liu, J., Jadvar, D., Gill, K., Cacciamani, G., Nikias, C., Duddalwar, V., Kuo, J., Gill, I., & Abreu, A., . The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics. Urologic Clinics of North America. August 2023; .(.):..
Article URL: https://www.sciencedirect.com/science/article/abs/pii/S0094014323000745?via%3Dihub
Lad, M., Gupta, R., Raman, A., Gupta, R., Para, A., & Moore, J.. Trends in Reimbursements and Procedural Volume for Radiosurgery and Open Surgery in Neuro-oncology: An Analysis of Medicare Data from 2009-2018. Neurosurgery. December 2020; 67(S1):..
Article URL: https://journals.lww.com/neurosurgery/Citation/2020/12001/Trends_in_Reimbursements_and_Procedural_Volume_for.9 3.aspx
Lad, M., Gupta, R., Raman, A., Parikh, N., Gupta, R., Chandra, A., Para, A., Aghi, M., & Moore, J.. Trends in Physician Reimbursements and Procedural Volume for Radiosurgery and Open Surgery in Brain Tumor Care: An Analysis of Medicare Data from 2009-2018. Journal of Neurological Surgery. January 2022; 136(1):97-108.
Article URL: https://thejns.org/view/journals/j-neurosurg/136/1/article-p97.xml
Liu, D., Varghese, B., Hwang, D., Lei, X., Azadikhah, A., Dani, K., Raman, A., Cen, S., Aron, M., Zahoor, H., Siddiqi, I., Gill, I., & Duddalwar, V.. Radiogenomic Correlates of Clinically Relevant Clear Cell Renal Cell Cancer Biomarkers. Journal of Urology. May 2022; 207(S5):e573.
Article URL: https://www.auajournals.org/doi/abs/10.1097/JU.0000000000002587.09
Patel, K., Dang, A., Makhlouf, M., Raman, A., & Abdulla, N.. Intravenous Steroids for Refractory Chemotherapy-related Diarrhea: A
Case Report. Cureus. March 2023; 15(2):e34634.
Article URL: https://pubmed.ncbi.nlm.nih.gov/36895532/
Perez-Castillejos, R., Shrirao, A.B., Raman, A., Ryll, E., Disame, A., & Talasan, H.. Portable, $5 Microfluidics Laboratory for Education and Outreach. IBER Sensors. October 2012; 7(4):..
Publication Status: Published.
Article URL: https://www.inaoep.mx/revista_electronica/volumen/descarga_articulo/?articulo=IB12-92-rcastillejos.pdf&ida=01f78be6
f7cad02658508fe4616098a9
Raman, A., Fisher, D., Yap, F., Oberai, A., & Duddalwar, V.. Radiomics and Artificial Intelligence: Renal Cell Carcinoma. Urologic Clinics of North America. July 2023; .(.):..
Article URL: https://www.sciencedirect.com/science/article/abs/pii/S0094014323000587?via%3Dihub
Raman, A., Huynh, J., Patel, K., Kong, L., Barrows, B., Hubeny, C.. A Rare Case of Ruptured Appendicitis Secondary to Metastatic
Ovarian Cancer. American Journal of Case Reports. February 2023; 24(.):e938982. Article URL: https://pubmed.ncbi.nlm.nih.gov/36810727/
Raman, A., John, V., Huynh, J., McCloud, A., Barrows, B., Hubeny, C., & Salehpour M. . Savi Scout Localization for Extrapelvic Endometriosis Resection. American Journal of Case Reports. April 2024; 25(e942581):NA.
Publication Status: Published.
Article URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11009885/
Raman, A., Jones, C., & Weiss, C.. Machine Learning for Hepatocellular Carcinoma Segmentation at MRI: Radiology In Training. Rad iology. September 2022; 304(3):509-515.
Article URL: https://pubs.rsna.org/doi/10.1148/radiol.212386?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20 %200pubmed
Raman, A., Lad, M., Parikh, N., Gupta, R., Gupta, R., Patel, A., & Arnold, C.. Trends in Utilization and Medicare Reimbursement for TIPS and Open Surgical Portal Decompression. Journal of Vascular and Interventional Radiology. May 2021; 32(5):S129.
Article URL: https://www.jvir.org/article/S1051-0443(21)00692-8/fulltext
Raman, A., Parikh, N., Gupta, R., Lavadi, R., Gupta, R., Heary, R., Kimmell, K., Singer, J., & Agarwal, N.. Augmenting Career Longevity: An Analysis of Ergonomics Training Among 134 Neurological Surgeons. World Neurosurgery. January
2023; 173(.):e11-e17.
Article URL: https://pubmed.ncbi.nlm.nih.gov/36646417/
Raman, A., Sarma, K., Raman, S., Priester, A., Mirak, S., Riskin-Jones, H., Dhinagar, N., Speier, W., Felker, E., Sisk, A., Lu, D., Kinnaird, A., Reiter, R., Marks, M., & Arnold, C.. Optimizing Spatial Biopsy Sampling for the Detection of Prostate Cancer. Journal of Urology. April 2021; 206(3):595-603.
Article URL: https://pubmed.ncbi.nlm.nih.gov/33908801/
Raman, A., Sarma, K., Shi, W., Zhou, S., Priester, A., Natarajan, S., Speier, W., Raman, S., Marks, L., Arnold, C.. A Machine Learning
Model for Predicting Cancer Presence in Prostate Biopsy Targets using MRI. The Journal of Urology. April 2019; 201(4):e1182-e1182. Article URL: https://www.auajournals.org/doi/10.1097/01.JU.0000557444.38516.4c
Sarma, K., Harmon, S., Sanford, T., Roth, H., Xu, Z., Tetreault, J., Xu, D., Flores, M., Raman, A., Kulkarni, R., Wood, B., Choyke, P., Priester, A., Marks, L., Raman, S., Enzmann, D., Turkbey, B., Speier, W., & Arnold, C.. Federated Learning Improves Site Performance in Multi-Center Deep Learning Without Data Sharing. Journal of the American Medical Informatics Association. February 2021; 28(6):1259-1264.
Article URL: https://pubmed.ncbi.nlm.nih.gov/33537772/
Sarma, K., Raman, A., Dhinagar, N., Priester, A., Natarajan, S., Harmon, S., Marks, L., Raman, S., Speier, W., & Arnold, C.. Harnessing Clinical Annotations to Improve Deep Learning Performance in Prostate Segmentation. PLOS ONE. June
2021; 16(6):e0253829.
Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0253829
Weinstein, R., Garg, T., Gong, A., Gowda, P., Raman, A., Mitchell, S., & Weiss, C.. The Impact of Sclerotherapy on Venous Malformations of the Eye and Orbit on Clinical and Imaging Outcomes. Journal of Vascular and Interventional Radiology. June 2022; 33(.):S230.
Article URL: https://www.jvir.org/article/S1051-0443(22)00751-5/fulltext
Zhou, S., Priester, A., Jayadevan, R. Yang, J., Johnson, D., Raman, A., Sarma, K., Arnold, C., Ballon, J., Natarajan S., & Marks, L..
Predicting Prostate Cancer Focal Therapy Eligibility with Machine Learning. The Journal of Urology. April 2019; 201(4):e1142-e1143. Article URL: https://www.auajournals.org/doi/10.1097/01.JU.0000557336.01833.27