Alexander D. Weston

发表

Deep Learning in Radiology: Does One Size Fit All?

Bradley J. Erickson, Panagiotis Korfiatis, Timothy L. Kline, 2018, Journal of the American College of Radiology : JACR.

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

Bradley J. Erickson, Panagiotis Korfiatis, Timothy L. Kline, 2019, Journal of Digital Imaging.

207 QUANTIFICATION OF PANCREATIC FAT ON ABDOMINAL COMPUTED TOMOGRAPHY SCANS USING A DEEP-CONVOLUTIONAL NEURAL NETWORK TRAINED FOR PANCREAS SEGMENTATION

Bradley J. Erickson, Naoki Takahashi, Kenneth A. Philbrick, 2020 .

Fully Automated Segmentation of Head CT Neuroanatomy Using Deep Learning.

Bradley J. Erickson, Zeynettin Akkus, Gian Marco Conte, 2020, Radiology. Artificial intelligence.

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

Petro M. Kostandy, Alexander D. Weston, Kenneth A. Philbrick, 2019, Radiology.

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images.

Alexander D. Weston, Kenneth A. Philbrick, B. Erickson, 2018, AJR. American journal of roentgenology.

A deep learning approach for detecting liver cirrhosis from volatolomic analysis of exhaled breath

Alexander D. Weston, R. Carter, Mikolaj Wieczorek, 2022, Frontiers in Medicine.

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

Bradley J Erickson, Zeynettin Akkus, Alexander D Weston, 2019, Journal of the American College of Radiology : JACR.

Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model.

Alexander D. Weston, Kenneth A. Philbrick, Jason C. Cai, 2021, Radiology.

A Deep Learning Tool for Automated Radiographic Measurement of Acetabular Component Inclination and Version After Total Hip Arthroplasty.

Alexander D. Weston, Jason C. Cai, B. Erickson, 2021, The Journal of arthroplasty.

Complete Abdomen and Pelvis Segmentation using U-Net Variant Architecture.

Bradley J Erickson, Panagiotis Korfiatis, Naoki Takahashi, 2020, Medical physics.

Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model.

Alexander D. Weston, Jason C. Cai, B. Erickson, 2021, Radiology.

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.

Alexander D. Weston, Kenneth A. Philbrick, B. Erickson, 2021, Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.].

Machine learning-based risk stratification for mortality in patients with severe aortic regurgitation

Alexander D. Weston, P. Pellikka, H. Michelena, 2023, European heart journal. Digital health.