T. Retson

发表

Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging

T. Retson, A. Besser, Sean Sall, 2019, Journal of thoracic imaging.

Computer-Aided Detection/Diagnosis in Breast Imaging: A Focus on the Evolving FDA Regulations for Using Software as a Medical Device

T. Retson, M. Eghtedari, 2020, Current Radiology Reports.

Deep Learning-based Prescription of Cardiac MRI Planes.

Evan M Masutani, N. Bahrami, T. Retson, 2019, Radiology. Artificial intelligence.

Alcohol-induced dysregulation of stress-related circuitry: The search for novel targets and implications for interventions across the sexes

E. V. Bockstaele, T. Retson, R. Sterling, 2016, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT.

T. Retson, A. Hsiao, K. Hasenstab, 2021, Radiology. Artificial intelligence.

Reader Perceptions and Impact of AI on CT Assessment of Air Trapping.

S. Kligerman, Lewis D. Hahn, T. Retson, 2021, Radiology. Artificial intelligence.

Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography Triage

C. Chim, T. Retson, A. Watanabe, 2022, Journal of Breast Imaging.

Quantification of hemodynamics of cerebral arteriovenous malformations after stereotactic radiosurgery using 4D flow magnetic resonance imaging

A. Simon, N. Farid, J. Hattangadi-Gluth, 2020, Journal of magnetic resonance imaging : JMRI.

Posttraumatic subarachnoid fat embolism: Case presentation and literature review.

Rahul Chaturvedi, N. Farid, T. Retson, 2020, Clinical imaging.

Phyllodes Tumors of the Breast: A Rare Lesion with Still-Evolving Prognostic Features and Clinical Management

H. Ojeda-Fournier, T. Retson, Soudabeh Fazeli, 2022, Current Radiology Reports.

Amygdalar neuronal plasticity and the interactions of alcohol, sex, and stress

J. Hoek, E. V. Van Bockstaele, T. Retson, 2015, Brain Structure and Function.

Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.

Joey Nicholson, Tessa S Cook, Laura Heacock, 2019, Academic radiology.

Chronic alcohol exposure differentially affects activation of female locus coeruleus neurons and the subcellular distribution of corticotropin releasing factor receptors

E. V. Bockstaele, B. Reyes, T. Retson, 2015, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

Clinical Performance and Role of Expert Supervision of Deep Learning for Cardiac Ventricular Volumetry: A Validation Study.

Tara A Retson, Evan M Masutani, Daniel Golden, 2020, Radiology. Artificial intelligence.

Detecting Common Sources of AI Bias: Questions to Ask When Procuring an AI Solution.

Ali S. Tejani, T. Cook, T. Retson, 2023, Radiology.

Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network.

Claude B. Sirlin, Kyle Hasenstab, Naeim Bahrami, 2019, Radiology. Artificial intelligence.

Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.

D. Lynch, D. Conrad, S. Kligerman, 2021, Radiology. Cardiothoracic imaging.

Coordinate regulation of noradrenergic and serotonergic brain regions by amygdalar neurons

E. V. Bockstaele, T. Retson, E. Bockstaele, 2013, Journal of Chemical Neuroanatomy.

Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI‐NET)

Naeim Bahrami, Tara Retson, Albert Hsiao, 2019, Magnetic resonance in medicine.

Expanding Horizons: The Realities of CAD, the Promise of Artificial Intelligence, and Machine Learning’s Role in Breast Imaging beyond Screening Mammography

T. Retson, M. Eghtedari, 2023, Diagnostics.

Amygdalar neuronal plasticity and the interactions of alcohol, sex, and stress

T. Retson, Jan B. Hoek, E. J. V. Bockstaele, 2014, Brain Structure and Function.