Publications by authors named "Alexander D Weston"

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Associations Between Deep Learning-Derived Fat, Muscle, and Bone Measures From Abdominal Computed Tomography Scans and Fall Risk in Persons Aged 20 Years or Older.
Jennifer L St Sauver, Brandon R Grossardt, Alexander D Weston, Hillary W Garner, Alanna M Chamberlain

Mayo Clin Proc Digit Health· December 2025

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Association Between CT-Based AI-Derived Body Composition and Survival in Patients With Pancreatic Ductal Adenocarcinoma.
Koen J H Wijsman, Derk C F Klatte, Hani M Babiker, Aleksander M Bogdanski, Brandon R Grossardt, Alexander D Weston

Am J Gastroenterol· December 2025

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Diagnosing Allergic Contact Dermatitis Using Deep Learning: Single-Arm, Pragmatic Clinical Trial with an Observer Performance Study to Compare Artificial Intelligence Performance with Human Reader Performance.
Rickey E Carter, Alexander D Weston, Mikolaj A Wieczorek, Laura M Pacheco-Spann, Sheikh Fahad

Dermatitis· November 2024

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The ABCs of Subarachnoid Hemorrhage Blood Volume Measurement: A Simplified Quantitative Method Predicts Outcomes and Delayed Cerebral Ischemia.
Fabian Föttinger, Rohan Sharma, Saif D Salman, Alexander D Weston, Bradley J Erickson

J Am Heart Assoc· October 2024

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Older Tissue Age Derived From Abdominal Computed Tomography Biomarkers of Muscle, Fat, and Bone Is Associated With Chronic Conditions and Higher Mortality.
Andrew D Rule, Brandon R Grossardt, Alexander D Weston, Hillary W Garner, Timothy L Kline

Mayo Clin Proc· June 2024

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Predicting Penicillin Allergy: A United States Multicenter Retrospective Study.
Alexei Gonzalez-Estrada, Miguel A Park, John J O Accarino, Aleena Banerji, Ismael Carrillo-Martin, Alexander D Weston

J Allergy Clin Immunol Pract· May 2024

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Abdominal Body Composition Reference Ranges and Association With Chronic Conditions in an Age- and Sex-Stratified Representative Sample of a Geographically Defined American Population.
Alexander D Weston, Brandon R Grossardt, Hillary W Garner, Timothy L Kline, Alanna M Chamberlain

J Gerontol A Biol Sci Med Sci· April 2024

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An Automated Approach for Diagnosing Allergic Contact Dermatitis Using Deep Learning to Support Democratization of Patch Testing.
Matthew R Hall, Alexander D Weston, Mikolaj A Wieczorek, Misty M Hobbs, Maria A Caruso

Mayo Clin Proc Digit Health· March 2024

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Machine Learning for Diagnosis of Pulmonary Hypertension by Echocardiography.
Vidhu Anand, Alexander D Weston, Christopher G Scott, Garvan C Kane, Patricia A Pellikka

Mayo Clin Proc· February 2024

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Demystifying Statistics and Machine Learning in Analysis of Structured Tabular Data.
Bardia Khosravi, Alexander D Weston, Fred Nugen, John P Mickley, Hilal Maradit Kremers

J Arthroplasty· October 2023

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Machine learning-based risk stratification for mortality in patients with severe aortic regurgitation.
Vidhu Anand, Hanwen Hu, Alexander D Weston, Christopher G Scott, Hector I Michelena

Eur Heart J Digit Health· May 2023

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Association between computerized tomography (CT) study of body composition and severity of acute pancreatitis: Use of a novel Z-score supports obesity paradox.
Masayasu Horibe, Naoki Takahashi, Alexander D Weston, Kenneth Philbrick, Satoshi Yamamoto

Clin Nutr· August 2022

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Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence aided image segmentation: Associations with body composition and pancreatic cancer risk.
Laurens P Janssens, Alexander D Weston, Dhruv Singh, Grant Spears, William S Harmsen

Pancreatology· December 2021

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A Deep Learning Tool for Automated Radiographic Measurement of Acetabular Component Inclination and Version After Total Hip Arthroplasty.
Pouria Rouzrokh, Cody C Wyles, Kenneth A Philbrick, Taghi Ramazanian, Alexander D Weston

J Arthroplasty· July 2021

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Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model.
Gian Marco Conte, Alexander D Weston, David C Vogelsang, Kenneth A Philbrick, Jason C Cai

Radiology· July 2021

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Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model.
Gian Marco Conte, Alexander D Weston, David C Vogelsang, Kenneth A Philbrick, Jason C Cai

Radiology· May 2021

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Complete abdomen and pelvis segmentation using U-net variant architecture.
Alexander D Weston, Panagiotis Korfiatis, Kenneth A Philbrick, Gian Marco Conte, Petro Kostandy

Med Phys· November 2020

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Fully Automated Segmentation of Head CT Neuroanatomy Using Deep Learning.
Jason C Cai, Zeynettin Akkus, Kenneth A Philbrick, Arunnit Boonrod, Safa Hoodeshenas, Alexander D Weston

Radiol Artif Intell· September 2020

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A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.
Zeynettin Akkus, Jason Cai, Arunnit Boonrod, Atefeh Zeinoddini, Alexander D Weston

J Am Coll Radiol· September 2019

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RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
Kenneth A Philbrick, Alexander D Weston, Zeynettin Akkus, Timothy L Kline, Panagiotis Korfiatis

J Digit Imaging· August 2019

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Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.
Alexander D Weston, Panagiotis Korfiatis, Timothy L Kline, Kenneth A Philbrick, Petro Kostandy

Radiology· March 2019

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What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images.
Kenneth A Philbrick, Kotaro Yoshida, Dai Inoue, Zeynettin Akkus, Timothy L Kline, Alexander D Weston

AJR Am J Roentgenol· December 2018

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Deep Learning in Radiology: Does One Size Fit All?
Bradley J Erickson, Panagiotis Korfiatis, Timothy L Kline, Zeynettin Akkus, Kenneth Philbrick, Alexander D Weston

J Am Coll Radiol· March 2018

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Characterization of transverse isotropy in compressed tissue-mimicking phantoms.
Matthew W Urban, Manuela Lopera, Sara Aristizabal, Carolina Amador, Ivan Nenadic, Alexander D Weston

IEEE Trans Ultrason Ferroelectr Freq Control· June 2015

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