Department of Radiology

Displaying 51 - 100 of 630CSV
Sattar, U., Yin, X., Luo, X., Zhu, C., Hu, Z., Blumenfeld, J. D., Rennert, H., Wu, A., RoyChoudhury, A., Salama, G., & Prince, M. R. (2024). Prevalence of Spinal Meningeal Diverticula in Autosomal Dominant Polycystic Kidney Disease. American Journal of Neuroradiology, 46(1), 200–206. https://doi.org/10.3174/ajnr.a8407
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Balter, S., Moses, J., Hyasat, K., Collins, M., Kirtane, A., McEntegart, M., Rabbani, L. E., & Ahmed, G. Y. (2025). Evolving operator practices reduced patient radiation dose in Interventional Cardiology: Trends in a single center. American Heart Journal. https://doi.org/10.1016/j.ahj.2025.01.007
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Sharbatdaran, A., Cohen, T., Dev, H., Sattar, U., Bazojoo, V., Wang, Y., Hu, Z., Zhu, C., He, X., Romano, D., Scandura, J. M., & Prince, M. R. (2025). Model-Assisted Spleen Contouring for Assessing Splenomegaly in Myelofibrosis: A Fast and Reproducible Approach to Evaluate Progression and Treatment Response. Journal of Clinical Medicine, 14(2), 443. https://doi.org/10.3390/jcm14020443
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Zhao, B., Obuchowski, N., Yang, H., Chou, Y., Ma, H., Guo, P., Tang, Y., Schwartz, L., & Sullivan, D. (2025). Comparing quantitative imaging biomarker alliance volumetric CT classifications with RECIST response categories. Radiology Advances, 2(1). https://doi.org/10.1093/radadv/umaf001
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Aaronson, S. T., van der Vaart, A., Miller, T., LaPratt, J., Swartz, K., Shoultz, A., Lauterbach, M., Suppes, T., & Sackeim, H. A. (2025). Single-Dose Psilocybin for Depression With Severe Treatment Resistance: An Open-Label Trial. American Journal of Psychiatry, 182(1), 104–113. https://doi.org/10.1176/appi.ajp.20231063
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Adamo, R. G., Lam, E., Salameh, J.-P., van der Pol, C. B., Goins, S. M., Dawit, H., Costa, A. F., Levis, B., Singal, A. G., Chernyak, V., Sirlin, C. B., Bashir, M. R., Tang, A., Alhasan, A., Allen, B. C., Reiner, C. S., Clarke, C., Ludwig, D. R., Cerny, M., … McInnes, M. D. F. (2024). Do Risk Factors for HCC Impact the Association of CT/MRI LIRADS Major Features With HCC? An Individual Participant Data Meta-Analysis. Canadian Association of Radiologists Journal. https://doi.org/10.1177/08465371241306297
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Tran, A. T., Desser, D., Zeevi, T., Abou Karam, G., Zietz, J., Dell’Orco, A., Chen, M.-C., Malhotra, A., Qureshi, A. I., Murthy, S. B., Majidi, S., Falcone, G. J., Sheth, K. N., Nawabi, J., & Payabvash, S. (2024). Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Applied Sciences, 15(1), 111. https://doi.org/10.3390/app15010111
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Finkelstein-Fox, L., Sicks, J. R. D., Wagner, L. I., Carlos, R. C., Miranda, I., Rosen, R. L., Lopes, M., Goshe, B. M., Gareen, I. F., Herman, B. A., Taurone, A., Walter, A. W., Rasmussen, A. W., Levy, D. E., Thompson, M. A., Malloy, L., Gonzalez, I., Burnette, B. L., … Throckmorton, A. D. (2024). Exploring Gender Differences in Receipt of the 5As for Smoking Cessation for Recently-Diagnosed Cancer Patients (ECOG-ACRIN EAQ171CD). Nicotine and Tobacco Research. https://doi.org/10.1093/ntr/ntae304
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Ramaswamy, S., Colah, C. X., Guan, S., Fayed, M., Spektor, V., Connolly, E. S., & Willey, J. (2024). Rete anomaly of the middle cerebral artery: case series of 13 patients from the Northeastern United States. Journal of NeuroInterventional Surgery, jnis-2024-022603. https://doi.org/10.1136/jnis-2024-022603
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Singal, A. G., Quirk, L., Boike, J., Chernyak, V., Feng, Z., Giamarqo, G., Kanwal, F., Ioannou, G. N., Manes, S., Marrero, J. A., Mehta, N., Pillai, A., Shaheen, N. J., Shaukat, A., Sirlin, C. B., Verna, E., Wani, S., Wilson Woods, A., Yang, J. D., & Parikh, N. D. (2024). Value of HCC surveillance in a landscape of emerging surveillance options: Perspectives of a multi-stakeholder modified Delphi panel. Hepatology. https://doi.org/10.1097/hep.0000000000001203
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Dierksen, F., Sommer, J. K., Tran, A. T., Lin, H., Haider, S. P., Maier, I. L., Aneja, S., Sanelli, P. C., Malhotra, A., Qureshi, A. I., Claassen, J., Park, S., Murthy, S. B., Falcone, G. J., Sheth, K. N., & Payabvash, S. (2024). Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT). Diagnostics, 14(24), 2827. https://doi.org/10.3390/diagnostics14242827
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Bullock-Palmer, R. P., Einstein, A. J., & Srichai, M. B. (2024). How cardiac computed tomography angiography and positron emission tomography play complementary roles in a Practice’s business model. Journal of Cardiovascular Computed Tomography. https://doi.org/10.1016/j.jcct.2024.11.003
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Miller, R. JH., Bednarski, B., Cui, Y., Calsavara, V., Patel, K., Rozanski, A., Liang, J. X., Builoff, V., Acampa, W., Bateman, T. M., Di Carli, M., Dorbala, S., Einstein, A. J., Fish, M. B., Hauser, M. T., Kaufmann, P. A., Miller, E. J., Ruddy, T. D., Sharir, T., … Slomka, P. J. (2025). The Relationship Between Quantitative Ischemia, Early Revascularization, and Major Adverse Cardiovascular Events. JACC: Advances, 4(1), 101440. https://doi.org/10.1016/j.jacadv.2024.101440
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Ahluwalia, V. S., Doiphode, N., Mankowski, W. C., Cohen, E. A., Pati, S., Pantalone, L., Bakas, S., Brooks, A., Vachon, C. M., Conant, E. F., Gastounioti, A., & Kontos, D. (2024). Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning. JCO Clinical Cancer Informatics, 8. https://doi.org/10.1200/cci.24.00103
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Malhotra, A., Futela, D., Payabvash, S., Wintermark, M., Jordan, J. E., Gandhi, D., & Duszak, R. (2024). Trends in Faculty Tenure Status and Diversity in Academic Radiology Departments in the United States. Academic Radiology. https://doi.org/10.1016/j.acra.2024.11.025
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Sajan, A., Griepp, D. W., & Isaacson, A. J. (2024). Variation in Cone Beam Computed Tomography Utilization and Radiation Exposure Associated with Prostatic Artery Embolization on Two Separate Angiography Systems. Journal of Clinical Medicine, 13(23), 7403. https://doi.org/10.3390/jcm13237403
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Chernyak, V. (2024). Editorial Comment: Use of Ancillary Features in LI-RADS Treatment Response Algorithm Improves Accuracy and Decreases the Frequency of LR-TR Equivocal Category. American Journal of Roentgenology. https://doi.org/10.2214/ajr.24.32415
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Miller, P., Elias, P., Einstein, A. J., Maurer, M. S., Ahmed, G. Y., & Poterucha, T. J. (2024). Socioeconomic Disparities Are Associated With Delayed Access to Tafamidis in Transthyretin Cardiac Amyloidosis. Circulation: Heart Failure, 17(12). https://doi.org/10.1161/circheartfailure.124.012075
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Damuka, N., Miller, M., Krizan, I., Bhoopal, B., Orr, M. E., Gollepalli, K. K., Lockhart, S. N., Whitlow, C. T., Mintz, A., Craft, S., & Sai, K. K. S. (2024). PET Imaging of Microtubules in Cognitively Impaired and Normal Older Adults. Alzheimer’s & Dementia, 20(S8). Portico. https://doi.org/10.1002/alz.095392
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Damuka, N., Gollepalli, K. K., Krizan, I., Bhoopal, B., Miller, M., Deep, O., Bashetti, N., Kumar, J. S., Orr, M. E., Macauley, S. L., Whitlow, C. T., Mintz, A., Lockhart, S. N., Craft, S., & Sai, K. K. S. (2024). Exploring Microtubule Dynamics in Alzheimer’s Disease: Longitudinal Assessment Using [11C]MPC‐6827 PET Imaging in APP/PS1 and PS301S Mouse Models. Alzheimer’s & Dementia, 20(S9). Portico. https://doi.org/10.1002/alz.093929
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Hong, C. W., Cunha, G. M., Yokoo, T., Roudenko, A., Kelm, Z. S., Fung, A., Bashir, M. R., Lewis, S., Santillan, C., Marks, R., Sirlin, C. B., Fowler, K. J., & Chernyak, V. (2024). Performing liver imaging at a high level: quality and adequacy in LI-RADS. Abdominal Radiology. https://doi.org/10.1007/s00261-024-04679-w
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Damuka, N., Gollepalli, K. K., Krizan, I., Bhoopal, B., Miller, M., Deep, O., Bashetti, N., Kumar, J. S., Orr, M. E., Macauley, S. L., Whitlow, C. T., Mintz, A., Lockhart, S. N., Craft, S., & Sai, K. K. S. (2024). Exploring Microtubule Dynamics in Alzheimer’s Disease: Longitudinal Assessment Using [11C]MPC‐6827 PET Imaging in APP/PS1 and PS301S Mouse Models. Alzheimer’s & Dementia, 20(S2). Portico. https://doi.org/10.1002/alz.090993
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Luo, Y., Hanuska, D., Xu, J., Salvatore, M. M., & Bernstein, E. J. (2025). Quantification of coronary artery calcification in systemic sclerosis using visual ordinal and deep learning scoring: Association with systemic sclerosis clinical features. Seminars in Arthritis and Rheumatism, 70, 152598. https://doi.org/10.1016/j.semarthrit.2024.152598
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Prinz, D., Bartsch, S. J., Ehret, V., Friske, J., Pinker, K., & Helbich, T. H. (2024). Multiparametric magnetic resonance imaging of the breast. Die Radiologie. https://doi.org/10.1007/s00117-024-01390-1
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Reis, S. P., Haider, S., Brejt, S., Ahmad, N., & Sperling, D. (2024). Transjugular Intrahepatic Portosystemic Shunt (TIPS) Check and Revision in a Freestanding Outpatient Facility: Safety and Efficacy. Cureus. https://doi.org/10.7759/cureus.74517
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Chan, N., Einstein, A. J., Teruya, S., Rodriguez, C., Helmke, S., Cuomo, M., Santana, D., Castillo, M., Smiley, D., Sabogal, N., Lamour, S., Winburn, M., Fine, D., de Freitas, C., Kattan, C. G., Miller, E. J., Maurer, M. S., & Ruberg, F. L. (2025). The Impact of Active Ascertainment on Sex-Specific Differences in the Prevalence and Phenotype of Transthyretin Cardiac Amyloidosis: The Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations Study. The American Journal of Cardiology, 237, 60–64. https://doi.org/10.1016/j.amjcard.2024.11.019
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Ma, J., Yang, H., Chou, Y., Yoon, J., Allison, T., Komandur, R., McDunn, J., Taneem, A., Do, R. K., Schwartz, L. H., & Zhao, B. (2024). Generalizability of lesion detection and segmentation when ScaleNAS is trained on a large multi‐organ dataset and validated in the liver. Medical Physics. Portico. https://doi.org/10.1002/mp.17504
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Oberlin, A., Yoh, K., Overton, E., Booker, W. A., Ilagan, J., Sassine, D., Diggs, A., Laifer-Narin, S., Cimic, A., Ring, L., Sheikh, M., St Clair, C., Hou, J., Buckley de Meritens, A., Wright, J. D., D’Alton, M., Nhan Chang, C., Mourad, M., & Khoury Collado, F. (2024). Transverse versus vertical incision in the surgical management of placenta accreta spectrum. American Journal of Perinatology. CLOCKSS. https://doi.org/10.1055/a-2479-2604
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Bagla, S., Singh, I., Sajan, A., Sare, A., Pavidapha, A., Mehta, T., Klein, J., Marhamati, S., & Lerner, L. (2024). Combination Prostatic Artery Embolization Prior to Water-Jet Ablation (Aquablation) for Benign Prostatic Hypertrophy: A Propensity Score Analysis. Journal of Clinical Medicine, 13(22), 6930. https://doi.org/10.3390/jcm13226930
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Herzog, S., Bartlett, E. A., Zanderigo, F., Galfalvy, H. C., Burke, A., Mintz, A., Schmidt, M., Hauser, E., Huang, Y., Melhem, N., Sublette, M. E., Miller, J. M., & Mann, J. J. (2024). Neuroinflammation, Stress-Related Suicidal Ideation, and Negative Mood in Depression. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2024.3543
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Petridis, P. D., Grinband, J., Agin-Liebes, G., Kinslow, C. J., Zeifman, R. J., Bogenschutz, M. P., Griffiths, R. R., & Ross, S. (2024). Psilocybin-assisted psychotherapy improves psychiatric symptoms across multiple dimensions in patients with cancer. Nature Mental Health, 2(11), 1408–1414. https://doi.org/10.1038/s44220-024-00331-0
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Sajan, A., Epelboym, Y., Martinez, A. F., Little, M., Talaie, R., & Isaacson, A. (2024). Transarterial Embolization for Musculoskeletal Pain Management: AJR Expert Panel Narrative Review. American Journal of Roentgenology. https://doi.org/10.2214/ajr.24.31626
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Yeh, R., Kuo, J. H., Huang, B., Shobeiri, P., Lee, J. A., Tay, Y.-K. D., Tabacco, G., Bilezikian, J. P., & Dercle, L. (2024). Machine learning-derived clinical decision algorithm for the diagnosis of hyperfunctioning parathyroid glands in patients with primary hyperparathyroidism. European Radiology. https://doi.org/10.1007/s00330-024-11159-8
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Einstein, A. J. (2025). Decreasing Unnecessary Invasive Coronary Angiograms With Photon-Counting Detector Coronary Computed Tomography Angiography. Journal of the American College of Cardiology, 85(4), 349–351. https://doi.org/10.1016/j.jacc.2024.10.084
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Wang, F., Zou, Z., Sakla, N., Partyka, L., Rawal, N., Singh, G., Zhao, W., Ling, H., Huang, C., Prasanna, P., & Chen, C. (2025). TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs. Medical Image Analysis, 99, 103373. https://doi.org/10.1016/j.media.2024.103373
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Lo Gullo, R., Ochoa-Albiztegui, R. E., Chakraborty, J., Thakur, S. B., Robson, M., Jochelson, M. S., Varela, K., Resch, D., Eskreis-Winkler, S., & Pinker, K. (2024). Development of an MRI Radiomic Machine-Learning Model to Predict Triple-Negative Breast Cancer Based on Fibroglandular Tissue of the Contralateral Unaffected Breast in Breast Cancer Patients. Cancers, 16(20), 3480. https://doi.org/10.3390/cancers16203480
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Bartsch, S. J., Brožová, K., Fürböck, C., Friske, J., Laimer-Gruber, D., Helbich, T. H., Hacker, M., Kuntner, C., Kratochwill, K., Kenner, L., Langs, G., Pinker, K., & Wanek, T. (2024). Methodological aspects of correlative, multimodal, multiparametric breast cancer imaging: from data acquisition to image processing for AI-based radioproteomics in a preclinical setting. Frontiers in Biomaterials Science, 3. https://doi.org/10.3389/fbiom.2024.1420114
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Manso Jimeno, M., Ravi, K. S., Fung, M., Oyekunle, D., Ogbole, G., Vaughan, J. T., & Geethanath, S. (2024). Automated detection of motion artifacts in brain MR images using deep learning. NMR in Biomedicine, 38(1). Portico. https://doi.org/10.1002/nbm.5276
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Santomartino, S. M., Zech, J. R., Hall, K., Jeudy, J., Parekh, V., Yi, P. H., & Weintraub, E. (2024). Evaluating the Performance and Bias of Natural Language Processing Tools in Labeling Chest Radiograph Reports. Radiology, 313(1). https://doi.org/10.1148/radiol.232746
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Liu, Y., Hossain, M. M., Li, X. J., & Konofagou, E. E. (2025). Amplitude-Modulation Frequency Optimization for Enhancing Harmonic Motion Imaging Performance of Breast Tumors in the Clinic. Ultrasound in Medicine & Biology, 51(1), 169–179. https://doi.org/10.1016/j.ultrasmedbio.2024.09.021
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Wang, H., Argenziano, M. G., Yoon, H., Boyett, D., Save, A., Petridis, P., Savage, W., Jackson, P., Hawkins-Daarud, A., Tran, N., Hu, L., Singleton, K. W., Paulson, L., Dalahmah, O. A., Bruce, J. N., Grinband, J., Swanson, K. R., Canoll, P., & Li, J. (2024). Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma. Npj Digital Medicine, 7(1). https://doi.org/10.1038/s41746-024-01277-4
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Young, A., Wang, K. E., Jin, M. X., Avilla, K., Gilotra, K., Nguyen, P., & Ros, P. R. (2024). Streamlining Radiology Reporting: A Hands-Free Approach With Voice to Text and Generative Artificial Intelligence. Journal of the American College of Radiology. https://doi.org/10.1016/j.jacr.2024.10.004
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Kvist, O., & Garcia, J. P. (2024). Has the cat got your tongue, or is something obstructing your throat? A review of imaging of ingested and aspirated foreign bodies in the paediatric population. Pediatric Radiology. https://doi.org/10.1007/s00247-024-06068-3
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Tan, W., Wang, Z., Zeng, X., Boccia, A., Wang, X., Li, Y., Li, Y., Fung, E. K., Qi, J., Zeng, T., Gupta, A., & Goldan, A. H. (2024). High‐resolution motion compensation for brain PET imaging using real‐time electromagnetic motion tracking. Medical Physics. Portico. https://doi.org/10.1002/mp.17437
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Beddok, A., Orlhac, F., Rozenblum, L., Calugaru, V., Créhange, G., Dercle, L., Nioche, C., Thariat, J., Marin, T., El Fakhri, G., & Buvat, I. (2024). Radiomics-driven personalized radiotherapy for primary and recurrent tumors: A general review with a focus on reirradiation. Cancer/Radiothérapie, 28(6–7), 597–602. https://doi.org/10.1016/j.canrad.2024.09.002
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Ahmad, Z. Y., McDonald, J. M. N., Baghdanian, A. A., Anderson, S. W., & LeBedis, C. A. (2024). CT imaging of clinically significant abdominopelvic injuries in the damage control surgery patient. Emergency Radiology, 31(6), 797–805. https://doi.org/10.1007/s10140-024-02287-1
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Suh, E. H., Mumma, B. E., Einstein, A. J., Chang, B. C., Huynh, P. A., Rabbani, L. E., Ranard, L. S., Sacco, D. L., Tichter, A. M., & Probst, M. A. (2024). External Validation of the Recalibrated HEART Score for Evaluation of Possible Acute Coronary Syndrome. The American Journal of Cardiology, 229, 13–21. https://doi.org/10.1016/j.amjcard.2024.08.005
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