Bradley J Erickson, MD, PhD

  • 4326 Citations
  • 32 Scopus h-Index
1986 …2020
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Research Output 1986 2019

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Article
2019
5 Citations (Scopus)
Artificial Intelligence
Atrial Fibrillation
Electrocardiography
Area Under Curve
Point-of-Care Systems
9 Citations (Scopus)

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Langlotz, C. P., Allen, B., Erickson, B. J., Kalpathy-Cramer, J., Bigelow, K., Cook, T. S., Flanders, A. E., Lungren, M. P., Mendelson, D. S., Rudie, J. D., Wang, G. & Kandarpa, K., Jun 1 2019, In : Radiology. 291, 3, p. 781-791 11 p.

Research output: Contribution to journalArticle

Open Access
Artificial Intelligence
Diagnostic Imaging
Education
Research
Computer-Assisted Image Processing
1 Citation (Scopus)

A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow

Akkus, Z., Cai, J., Boonrod, A., Zeinoddini, A., Weston, A. D., Philbrick, K. A. & Erickson, B. J., Sep 1 2019, In : Journal of the American College of Radiology. 16, 9, p. 1318-1328 11 p.

Research output: Contribution to journalArticle

Workflow
Learning
Artificial Intelligence
Point-of-Care Systems
Aptitude
12 Citations (Scopus)

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Weston, A. D., Korfiatis, P., Kline, T., Philbrick, K. A., Kostandy, P., Sakinis, T., Sugimoto, M., Takahashi, N. M. & Erickson, B. J., Mar 1 2019, In : Radiology. 290, 3, p. 669-679 11 p.

Research output: Contribution to journalArticle

Body Composition
Learning
Hepatocellular Carcinoma
Abdomen
Intra-Abdominal Fat

Automatic Measurement of Kidney and Liver Volumes from MR Images of Patients Affected by Autosomal Dominant Polycystic Kidney Disease

van Gastel, M. D. A., Edwards, M. E., Torres, V., Erickson, B. J., Gansevoort, R. T. & Kline, T., Aug 1 2019, In : Journal of the American Society of Nephrology : JASN. 30, 8, p. 1514-1522 9 p.

Research output: Contribution to journalArticle

Autosomal Dominant Polycystic Kidney
Kidney
Liver
Growth
Semantics
Open Access
temozolomide
Glioblastoma
Survivors
Radiation
Recurrence
2 Citations (Scopus)

Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)

Bell, L. C., Semmineh, N., An, H., Eldeniz, C., Wahl, R., Schmainda, K. M., Prah, M. A., Erickson, B. J., Korfiatis, P., Wu, C., Sorace, A. G., Yankeelov, T. E., Rutledge, N., Chenevert, T. L., Malyarenko, D., Liu, Y., Brenner, A., Hu, L. S., Zhou, Y., Boxerman, J. L. & 8 others, Yen, Y. F., Kalpathy-Cramer, J., Beers, A. L., Muzi, M., Madhuranthakam, A. J., Pinho, M., Johnson, B. & Quarles, C. C., Mar 1 2019, In : Tomography (Ann Arbor, Mich.). 5, 1, p. 110-117 8 p.

Research output: Contribution to journalArticle

Open Access
Software
Biomarkers
Magnetic Resonance Imaging
Clinical Trials
Cerebral Blood Volume

RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning

Philbrick, K. A., Weston, A. D., Akkus, Z., Kline, T., Korfiatis, P., Sakinis, T., Kostandy, P., Boonrod, A., Zeinoddini, A., Takahashi, N. M. & Erickson, B. J., Jan 1 2019, In : Journal of Digital Imaging.

Research output: Contribution to journalArticle

Open Access
Medical imaging
Diagnostic Imaging
Learning
Software
Datasets

Robust brain extraction tool for CT head images

Akkus, Z., Kostandy, P., Philbrick, K. A. & Erickson, B. J., Jan 1 2019, In : Neurocomputing.

Research output: Contribution to journalArticle

Tomography
Brain
Head
Neural networks
Cone-Beam Computed Tomography
2 Citations (Scopus)

Standardizing total kidney volume measurements for clinical trials of autosomal dominant polycystic kidney disease

Edwards, M. E., Blais, J. D., Czerwiec, F. S., Erickson, B. J., Torres, V. & Kline, T., Jan 1 2019, In : Clinical Kidney Journal. 12, 1, p. 71-77 7 p.

Research output: Contribution to journalArticle

Open Access
Autosomal Dominant Polycystic Kidney
Clinical Trials
Kidney
Growth
TEMPO
16 Citations (Scopus)

The RSNA Pediatric Bone Age Machine Learning Challenge

Halabi, S. S., Prevedello, L. M., Kalpathy-Cramer, J., Mamonov, A. B., Bilbily, A., Cicero, M., Pan, I., Pereira, L. A., Sousa, R. T., Abdala, N., Kitamura, F. C., Thodberg, H. H., Chen, L., Shih, G., Andriole, K., Kohli, M. D., Erickson, B. J. & Flanders, A. E., Feb 1 2019, In : Radiology. 290, 2, p. 498-503 6 p.

Research output: Contribution to journalArticle

North America
Pediatrics
Bone and Bones
Artificial Intelligence
Diagnostic Imaging
1 Citation (Scopus)

Using germline variants to estimate glioma and subtype risks

Eckel-Passow, J. E., Decker, P. A., Kosel, M. L., Kollmeyer, T. M., Molinaro, A. M., Rice, T., Caron, A. A., Drucker, K. L., Praska, C. E., Pekmezci, M., Hansen, H. M., Mccoy, L. S., Bracci, P. M., Erickson, B. J., Lucchinetti, C. F., Wiemels, J. L., Wiencke, J. K., Bondy, M. L., Melin, B., Burns, T. & 4 others, Giannini, C., Lachance, D. H., Wrensch, M. R. & Jenkins, R. B., Mar 18 2019, In : Neuro-oncology. 21, 4, p. 451-461 11 p.

Research output: Contribution to journalArticle

Glioma
Isocitrate Dehydrogenase
Single Nucleotide Polymorphism
Logistic Models
Mutation
2018
10 Citations (Scopus)

Brain Gliomas: Multicenter Standardized Assessment of Dynamic Contrast-enhanced and Dynamic Susceptibility Contrast MR Images

Anzalone, N., Castellano, A., Cadioli, M., Conte, G. M., Cuccarini, V., Bizzi, A., Grimaldi, M., Costa, A., Grillea, G., Vitali, P., Aquino, D., Terreni, M. R., Torri, V., Erickson, B. J. & Caulo, M., Jun 1 2018, In : Radiology. 287, 3, p. 933-943 11 p.

Research output: Contribution to journalArticle

Glioma
Contrast Media
Magnetic Resonance Spectroscopy
Brain
Magnetic Resonance Imaging
19 Citations (Scopus)

Deep Learning in Radiology: Does One Size Fit All?

Erickson, B. J., Korfiatis, P., Kline, T., Akkus, Z., Philbrick, K. & Weston, A. D., Jan 1 2018, (Accepted/In press) In : Journal of the American College of Radiology.

Research output: Contribution to journalArticle

Radiology
Learning
Diagnostic Imaging
8 Citations (Scopus)

Multisite concordance of DSC-MRI analysis for brain tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project

Schmainda, K. M., Prah, M. A., Rand, S. D., Liu, Y., Logan, B., Muzi, M., Rane, S. D., Da, X., Yen, Y. F., Kalpathy-Cramer, J., Chenevert, T. L., Hoff, B., Ross, B., Cao, Y., Aryal, M. P., Erickson, B. J., Korfiatis, P., Dondlinger, T., Bell, L., Hu, L. S. & 2 others, Kinahan, P. E. & Quarles, C. C., Jun 1 2018, In : American Journal of Neuroradiology. 39, 6, p. 1008-1016 9 p.

Research output: Contribution to journalArticle

National Cancer Institute (U.S.)
Brain Neoplasms
Neoplasms
Nonparametric Statistics
Sensitivity and Specificity
7 Citations (Scopus)

Phase 1/2 trial of temsirolimus and sorafenib in the treatment of patients with recurrent glioblastoma: North Central Cancer Treatment Group Study/Alliance N0572

Schiff, D., Jaeckle, K. A., Anderson, S. K., Galanis, E., Giannini, C., Buckner, J. C., Stella, P., Flynn, P. J., Erickson, B. J., Schwerkoske, J. F., Kaluza, V., Twohy, E., Dancey, J., Wright, J. & Sarkaria, J. N., Apr 1 2018, In : Cancer. 124, 7, p. 1455-1463 9 p.

Research output: Contribution to journalArticle

Glioblastoma
Vascular Endothelial Growth Factor A
Neoplasms
Maximum Tolerated Dose
temozolomide
12 Citations (Scopus)

Randomised controlled trial to determine the efficacy and safety of prescribed water intake to prevent kidney failure due to autosomal dominant polycystic kidney disease (PREVENT-ADPKD)

Wong, A. T. Y., Mannix, C., Grantham, J. J., Allman-Farinelli, M., Badve, S. V., Boudville, N., Byth, K., Chan, J., Coulshed, S., Edwards, M. E., Erickson, B. J., Fernando, M., Foster, S., Haloob, I., Harris, D. C. H., Hawley, C. M., Hill, J., Howard, K., Howell, M., Jiang, S. H. & 14 others, Johnson, D. W., Kline, T. L., Kumar, K., Lee, V. W., Lonergan, M., Mai, J., McCloud, P., Peduto, A., Rangan, A., Roger, S. D., Sud, K., Torres, V., Vliayuri, E. & Rangan, G. K., Jan 1 2018, In : BMJ Open. 8, 1, e018794.

Research output: Contribution to journalArticle

Autosomal Dominant Polycystic Kidney
Drinking
Renal Insufficiency
Randomized Controlled Trials
Kidney
7 Citations (Scopus)

What does deep learning see? Insights from a classifier trained to predict contrast enhancement phase from CT images

Philbrick, K. A., Yoshida, K., Inoue, D., Akkus, Z., Kline, T., Weston, A. D., Korfiatis, P., Takahashi, N. M. & Erickson, B. J., Dec 1 2018, In : American Journal of Roentgenology. 211, 6, p. 1184-1193 10 p.

Research output: Contribution to journalArticle

Learning
2017
5 Citations (Scopus)

A quantitative symmetry-based analysis of hyperacute ischemic stroke lesions in noncontrast computed tomography

Peter, R., Korfiatis, P., Blezek, D., Oscar Beitia, A., Stepan-Buksakowska, I., Horinek, D., Flemming, K. & Erickson, B. J., Jan 1 2017, In : Medical Physics. 44, 1, p. 192-199 8 p.

Research output: Contribution to journalArticle

Stroke
Tomography
Brain
Magnetic Resonance Spectroscopy
ROC Curve
130 Citations (Scopus)

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Akkus, Z., Galimzianova, A., Hoogi, A., Rubin, D. L. & Erickson, B. J., Jun 2 2017, (Accepted/In press) In : Journal of Digital Imaging. p. 1-11 11 p.

Research output: Contribution to journalArticle

Magnetic resonance imaging
Brain
Learning
Aptitude
Learning algorithms
3 Citations (Scopus)

Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI

Bae, Y., Kumarasamy, K., Ali, I. M., Korfiatis, P., Akkus, Z. & Erickson, B. J., Sep 18 2017, (Accepted/In press) In : Journal of Digital Imaging. p. 1-10 10 p.

Research output: Contribution to journalArticle

Schizophrenia
Magnetic Resonance Imaging
Parietal Lobe
Gyrus Cinguli
Temporal Lobe
temozolomide
Glioblastoma
Radiotherapy
ROC Curve
Biopsy
6 Citations (Scopus)

Machine Learning: Discovering the Future of Medical Imaging

Erickson, B. J., Jun 26 2017, (Accepted/In press) In : Journal of Digital Imaging. p. 1 1 p.

Research output: Contribution to journalArticle

141 Citations (Scopus)

Machine learning for medical imaging

Erickson, B. J., Korfiatis, P., Akkus, Z. & Kline, T., Mar 1 2017, In : Radiographics. 37, 2, p. 505-515 11 p.

Research output: Contribution to journalArticle

Diagnostic Imaging
Learning
Machine Learning
22 Citations (Scopus)

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys

Kline, T., Korfiatis, P., Edwards, M. E., Blais, J. D., Czerwiec, F. S., Harris, P. C., King, B. F., Torres, V. & Erickson, B. J., May 26 2017, (Accepted/In press) In : Journal of Digital Imaging. p. 1-7 7 p.

Research output: Contribution to journalArticle

Polycystic Kidney Diseases
Kidney
Learning
Imaging techniques
Medical imaging
23 Citations (Scopus)

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

Akkus, Z., Ali, I., Sedlář, J., Agrawal, J. P., Parney, I. F., Giannini, C. & Erickson, B. J., Jun 9 2017, (Accepted/In press) In : Journal of Digital Imaging. p. 1-8 8 p.

Research output: Contribution to journalArticle

Artificial Intelligence
Glioma
Biopsy
Neural networks
Image registration
10 Citations (Scopus)

Quantitative MRI of kidneys in renal disease

Kline, T., Edwards, M. E., Garg, I., Irazabal Mira, M., Korfiatis, P., Harris, P. C., King, B. F., Torres, V., Venkatesh, S. K. & Erickson, B. J., Jun 28 2017, (Accepted/In press) In : Abdominal Radiology. p. 1-10 10 p.

Research output: Contribution to journalArticle

Autosomal Dominant Polycystic Kidney
Magnetic Resonance Imaging
Kidney
Elasticity Imaging Techniques
Oxygen
27 Citations (Scopus)
Methylation
Methyltransferases
Tumors
Neural networks
Biomarkers
7 Citations (Scopus)

Surgical outcomes of prolactinomas in recent era: Results of a heterogenous group

Donegan, D., Atkinson, J. L. D., Jentoft, M., Natt, N., Nippoldt, T. B., Erickson, B. J., Meyer, F. & Erickson, D., Jan 1 2017, In : Endocrine Practice. 23, 1, p. 37-45 9 p.

Research output: Contribution to journalArticle

Prolactinoma
Adenoma
Dopamine Agonists
Therapeutics
Cavernous Sinus
31 Citations (Scopus)

Toolkits and Libraries for Deep Learning

Erickson, B. J., Korfiatis, P., Akkus, Z., Kline, T. & Philbrick, K., Mar 17 2017, (Accepted/In press) In : Journal of Digital Imaging. p. 1-6 6 p.

Research output: Contribution to journalArticle

Libraries
Learning
Network architecture
Learning systems
Neural networks
1 Citation (Scopus)

Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon

Meenan, C., Erickson, B. J., Knight, N., Fossett, J., Olsen, E., Mohod, P., Chen, J. & Langer, S. G., Jan 3 2017, (Accepted/In press) In : Journal of Digital Imaging. p. 1-12 12 p.

Research output: Contribution to journalArticle

Workflow
Medicine
Delivery of Health Care
Radiology
Health
2016
25 Citations (Scopus)
Autosomal Dominant Polycystic Kidney
Disease Progression
Magnetic Resonance Spectroscopy
Kidney
Biomarkers
7 Citations (Scopus)

Difference in white matter microstructure in differential diagnosis of normal pressure hydrocephalus and Alzheimer's disease

Hořínek, D., Štěpán-Buksakowska, I., Szabó, N., Erickson, B. J., Tóth, E., Šulc, V., Beneš, V., Vrána, J., Hort, J., Nimsky, C., Mohapl, M., Roček, M., Vécsei, L. & Kincses, Z. T., Jan 1 2016, In : Clinical Neurology and Neurosurgery. 140, p. 52-59 8 p.

Research output: Contribution to journalArticle

Normal Pressure Hydrocephalus
Alzheimer Disease
Differential Diagnosis
Anisotropy
Parietal Lobe
1 Citation (Scopus)

Fully Automated and Robust Tracking of Transient Waves in Structured Anatomies Using Dynamic Programming

Akkus, Z., Bayat, M., Cheong, M., Viksit, K., Erickson, B. J., Alizad, A. & Fatemi, M., 2016, In : Ultrasound in Medicine and Biology. 42, 10, p. 2504-2512 9 p.

Research output: Contribution to journalArticle

dynamic programming
transverse waves
anatomy
Anatomy
bladder
13 Citations (Scopus)

Image texture features predict renal function decline in patients with autosomal dominant polycystic kidney disease

Kline, T., Korfiatis, P., Edwards, M. E., Bae, K. T., Yu, A., Chapman, A. B., Mrug, M., Grantham, J. J., Landsittel, D., Bennett, W. M., King, B. F., Harris, P. C., Torres, V. & Erickson, B. J., Jul 12 2016, (Accepted/In press) In : Kidney International.

Research output: Contribution to journalArticle

Autosomal Dominant Polycystic Kidney
Glomerular Filtration Rate
Kidney
Linear Models
Biomarkers
1 Citation (Scopus)

Imaging Informatics: 25 Years of Progress

Agrawal, J. P., Erickson, B. J. & Kahn, C. E., Jun 30 2016, In : Yearbook of medical informatics. p. S23-S31

Research output: Contribution to journalArticle

Open Access
Informatics
Diagnostic Imaging
Teleradiology
Natural Language Processing
Radiology Information Systems
53 Citations (Scopus)
Methyltransferases
Glioblastoma
Methylation
Biomarkers
ROC Curve
12 Citations (Scopus)

Patient-directed Internet-based Medical Image Exchange: Experience from an Initial Multicenter Implementation

Greco, G., Patel, A. S., Lewis, S. C., Shi, W., Rasul, R., Torosyan, M., Erickson, B. J., Hiremath, A., Moskowitz, A. J., Tellis, W. M., Siegel, E. L., Arenson, R. L. & Mendelson, D. S., Feb 1 2016, In : Academic Radiology. 23, 2, p. 237-244 8 p.

Research output: Contribution to journalArticle

Internet
Privacy
Personal Health Records
X Ray Computed Tomography
Ownership
35 Citations (Scopus)

Quantitative imaging in cancer clinical trials

Yankeelov, T. E., Mankoff, D. A., Schwartz, L. H., Lieberman, F. S., Buatti, J. M., Mountz, J. M., Erickson, B. J., Fennessy, F. M. M., Huang, W., Kalpathy-Cramer, J., L.Wahl, R., Linden, H. M., Kinahan, P. E., Zhao, B., Hylton, N. M., Gillies, R. J., Clarke, L., Nordstrom, R. & Rubin, D. L., Jan 15 2016, In : Clinical Cancer Research. 22, 2, p. 284-290 7 p.

Research output: Contribution to journalArticle

Clinical Trials
Neoplasms
Therapeutics
Patient Care
16 Citations (Scopus)

Semiautomated segmentation of polycystic kidneys in T2-weighted MR images

Kline, T., Edwards, M. E., Korfiatis, P., Akkus, Z., Torres, V. & Erickson, B. J., Sep 1 2016, In : American Journal of Roentgenology. 207, 3, p. 605-613 9 p.

Research output: Contribution to journalArticle

Polycystic Kidney Diseases
Kidney
Autosomal Dominant Polycystic Kidney
Organ Size
Software
2015

Characteristics of dynamic magnetic resonance image enhancement in prolactinomas resistant to dopamine agonist therapy

Guo, Q., Erickson, B. J., Chang, A. Y. & Erickson, D., Mar 11 2015, In : Journal of Investigative Medicine. 63, 3, p. 529-533 5 p.

Research output: Contribution to journalArticle

Image Enhancement
Prolactinoma
Image enhancement
Dopamine Agonists
Magnetic resonance
144 Citations (Scopus)

Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials

Ellingson, B. M., Bendszus, M., Boxerman, J., Barboriak, D., Erickson, B. J., Smits, M., Nelson, S. J., Gerstner, E., Alexander, B., Goldmacher, G., Wick, W., Vogelbaum, M., Weller, M., Galanis, E., Kalpathy-Cramer, J., Shankar, L., Jacobs, P., Pope, W. B., Yang, D., Chung, C. & 15 others, Knopp, M. V., Cha, S., Van Den Bent, M. J., Chang, S., Al Yung, W. K., Cloughesy, T. F., Wen, P. Y., Gilbert, M. R., Whitney, A., Sandak, D., Musella, A., Haynes, C., Wallace, M., Arons, D. F. & Kingston, A., Sep 1 2015, In : Neuro-Oncology. 17, 9, p. 1188-1198 11 p.

Research output: Contribution to journalArticle

Neuroimaging
Brain Neoplasms
Clinical Trials
National Cancer Institute (U.S.)
United States Food and Drug Administration

Emergent, After Hours Magnetic Resonance Imaging of the Spine

Black, D., Wood, C. P., Wells, M., Erickson, B. J., Diehn, F. E., Kaufmann, T. J., Rydberg, C., Gilbertson, J. R. & Hunt, C., Jul 1 2015, In : Journal of Neuroimaging. 25, 4, p. 590-594 5 p.

Research output: Contribution to journalArticle

Spine
Magnetic Resonance Imaging
Pathology
Electronic Health Records
Research Ethics Committees
150 Citations (Scopus)
Autosomal Dominant Polycystic Kidney
Clinical Trials
Kidney
Patient Selection
Chronic Kidney Failure
21 Citations (Scopus)

Impact of software modeling on the accuracy of perfusion MRI in glioma

Hu, L. S., Kelm, Z., Korfiatis, P., Dueck, A., Elrod, C., Ellingson, B. M., Kaufmann, T. J., Eschbacher, J. M., Karis, J. P., Smith, K., Nakaji, P., Brinkmann, D. H., Pafundi, D., Baxter, L. C. & Erickson, B. J., Dec 1 2015, In : American Journal of Neuroradiology. 36, 12, p. 2242-2249 8 p.

Research output: Contribution to journalArticle

Glioma
Perfusion Imaging
Software
Perfusion
Tumor Burden
1 Citation (Scopus)

Implementing a radiology-information technology project: mobile image viewing use case and a general guideline for radiologist-information technology team collaboration

Walz-Flannigan, A., Kotsenas, A. L., Hein, S., Persons, K. R., Langer, S. G., Erickson, B. J., Tjelta, J. A. & Luetmer, P. H., Apr 1 2015, In : AJR. American journal of roentgenology. 204, 4, p. 721-726 6 p.

Research output: Contribution to journalArticle

Radiology
Guidelines
Technology
Delivery of Health Care
Radiologists
6 Citations (Scopus)

MIRMAID: A content management system for medical image analysis research

Korfiatis, P., Kline, T., Blezek, D. J., Langer, S. G., Ryan, W. J. & Erickson, B. J., Sep 1 2015, In : Radiographics. 35, 5, p. 1461-1468 8 p.

Research output: Contribution to journalArticle

Information Management
Diagnostic Imaging
Biomedical Research
Databases
Research
10 Citations (Scopus)

Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging

Akkus, Z., Sedlar, J., Coufalova, L., Korfiatis, P., Kline, T., Warner, J. D., Agrawal, J. & Erickson, B. J., Aug 14 2015, In : Cancer Imaging. 15, 1, 12.

Research output: Contribution to journalArticle

Glioma
Magnetic Resonance Imaging
Atlases
Neoplasms
Gadolinium
37 Citations (Scopus)

The Effects of Changes in Utilization and Technological Advancements ofCross-Sectional Imaging onRadiologist Workload

McDonald, R., Schwartz, K. M., Eckel, L. J., Diehn, F. E., Hunt, C. H., Bartholmai, B. J., Erickson, B. J. & Kallmes, D. F., Sep 1 2015, In : Academic Radiology. 22, 9, p. 1191-1198 8 p.

Research output: Contribution to journalArticle

Workload
Tomography
Magnetic Resonance Imaging
Cross-Sectional Studies
Appointments and Schedules
4 Citations (Scopus)

Usefulness of dynamic MRI enhancement measures for the diagnosis of ACTH-producing pituitary adenomas

Guo, Q., Young, W. F., Erickson, D. & Erickson, B. J., Feb 1 2015, In : Clinical Endocrinology. 82, 2, p. 267-273 7 p.

Research output: Contribution to journalArticle

ACTH-Secreting Pituitary Adenoma
Adrenocorticotropic Hormone
Adenoma
Pituitary Neoplasms
Magnetic Resonance Imaging