Eric M. Rohren

Eric M. Rohren, MD, PhD

Full Affliliate Member, Research Institute
Houston Methodist


Social Determinants of Health Framework to Identify and Reduce Barriers to Imaging in Marginalized Communities
Elmohr, MM, Javed, Z, Dubey, P, Jordan, JE, Shah, L, Nasir, K, Rohren, EM & Lincoln, CM 2024, , Radiology, vol. 310, no. 2, 223097.

The role of artificial intelligence in supporting person-centred care
Currie, G, Rohren, E & Hawk, KE 2024, . in Person-Centred Care in Radiology: International Perspectives on High-Quality Care. CRC Press, pp. 343-362.

Toward Integrated Independence Johannes Czernin Discusses the Future of Theranostics with Ebrahim Delpassand, Eric Rohren, andWolfgangWeber
Delpassand, ES, Rohren, EM, Weber, WA & Czernin, J 2023, , Journal of Nuclear Medicine, vol. 64, no. 9, pp. 1361-1363.

Promoting a Robust Pipeline for Nuclear Medicine Practitioners
Rohren, EM 2023, , Academic Radiology, vol. 30, no. 4, pp. 763-764.

The deep radiomic analytics pipeline
Currie, G & Rohren, E 2022, , Veterinary Radiology and Ultrasound, vol. 63 Suppl 1, no. S1, pp. 889-896.

Intelligent imaging: Applications of machine learning and deep learning in radiology
Currie, G & Rohren, E 2022, , Veterinary Radiology and Ultrasound, vol. 63 Suppl 1, no. S1, pp. 880-888.

DOTATATE Uptake in an Axillary Lymph Node After COVID-19 Vaccination
Brophy, J, Henkle, G & Rohren, EM 2022, , Clinical Nuclear Medicine, vol. 47, no. 2, pp. 174-175.

Whole-body tumor burden in PET/CT expert review
Santos, DF, Takahashi, ME, Camacho, M, de Lima, MDCL, Amorim, BJ, Rohren, EM & Etchebehere, E 2023, , Clinical and Translational Imaging, vol. 11, no. 1, pp. 5-22.

The transformational potential of molecular radiomics
Currie, G, Hawk, KE & Rohren, E 2023, , Journal of Medical Radiation Sciences, vol. 70 Suppl 2, no. Suppl 2, pp. 77-88.

Radiation Dosimetry, Artificial Intelligence and Digital Twins: Old Dog, New Tricks
Currie, GM & Rohren, EM 2023, , Seminars in Nuclear Medicine, vol. 53, no. 3, pp. 457-466.

A Multidisciplinary Approach to Cancer: A Radiologist’s View
Rohren, EM 2022, . in Oncologic Imaging: A Multidisciplinary Approach. Elsevier, pp. 1-6.

Integration of Artificial Intelligence, Machine Learning, and Deep Learning into Clinically Routine Molecular Imaging
Currie, G & Rohren, E 2022, . in Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging. Springer International Publishing, pp. 87-108.

Delayed FDG PET Provides Superior Glioblastoma Conspicuity Compared to Conventional Image Timing
Johnson, JM, Chen, MM, Rohren, EM, Prabhu, S, Chasen, B, Mawlawi, O, Liu, HL & Gule-Monroe, MK 2021, , Frontiers in Neurology, vol. 12, 740280, pp. 740280.

Radioiodine Imaging and Treatment in Thyroid Disorders
Varghese, J, Rohren, E & Guofan, X 2021, , Neuroimaging Clinics of North America, vol. 31, no. 3, pp. 337-344.

Pitfalls in Interpretation of PET/CT in the Chest
Strange, C, Shroff, GS, Truong, MT & Rohren, EM 2021, , Seminars in Ultrasound, CT and MRI, vol. 42, no. 6, pp. 588-598.

Social Asymmetry, Artificial Intelligence and the Medical Imaging Landscape
Currie, G & Rohren, E 2022, , Seminars in Nuclear Medicine, vol. 52, no. 4, pp. 498-503.

Low-dose versus High-dose Carfilzomib with Dexamethasone (S1304) in Patients with Relapsed-Refractory Multiple Myeloma
Ailawadhi, S, Sexton, R, Lentzsch, S, Abidi, MH, Voorhees, PM, Cohen, AD, Rohren, EM, Heitner, S, Kelly, K, Mackler, NJ, Baer, DM, Hoering, A, Durie, B & Orlowski, RZ 2020, , Clinical Cancer Research, vol. 26, no. 15, pp. 3969-3978.

Ethical principles for the application of artificial intelligence (AI) in nuclear medicine
Currie, G, Hawk, KE & Rohren, EM 2020, , European Journal of Nuclear Medicine and Molecular Imaging, vol. 47, no. 4, pp. 748-752.

Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning
Currie, G & Rohren, E 2021, , Seminars in Nuclear Medicine, vol. 51, no. 2, pp. 102-111.

ACR-ACNM-ASTRO-SNMMI practice parameter for the performance of therapy with radium-223
Hurwitz, M, Buscombe, JR, Jacene, HA, Klitzke, AK, Lamonica, D, Lu, Y, Pryma, DA, Rohren, EM, Speer, TW, Subramaniam, RM, Thompson, HM, Tomblyn, MB, Wong, WW, Xiao, Y, Banks, KP & Brown, RKJ 2020, , American Journal of Clinical Oncology: Cancer Clinical Trials, vol. 43, no. 8, pp. 539-544.