Automated abdominal segmentation of CT scans for body composition analysis using deep learning AD Weston, P Korfiatis, TL Kline, KA Philbrick, P Kostandy, T Sakinis, ... Radiology 290 (3), 669-679, 2019 | 300 | 2019 |
A survey of deep-learning applications in ultrasound: Artificial intelligence–powered ultrasound for improving clinical workflow Z Akkus, J Cai, A Boonrod, A Zeinoddini, AD Weston, KA Philbrick, ... Journal of the American College of Radiology 16 (9), 1318-1328, 2019 | 230 | 2019 |
Deep learning in radiology: does one size fit all? BJ Erickson, P Korfiatis, TL Kline, Z Akkus, K Philbrick, AD Weston Journal of the American College of Radiology 15 (3), 521-526, 2018 | 138 | 2018 |
Phases of metabolic and soft tissue changes in months preceding a diagnosis of pancreatic ductal adenocarcinoma RP Sah, A Sharma, S Nagpal, SH Patlolla, A Sharma, H Kandlakunta, ... Gastroenterology 156 (6), 1742-1752, 2019 | 110 | 2019 |
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning KA Philbrick, AD Weston, Z Akkus, TL Kline, P Korfiatis, T Sakinis, ... Journal of digital imaging 32, 571-581, 2019 | 106 | 2019 |
Generative adversarial networks to synthesize missing T1 and FLAIR MRI sequences for use in a multisequence brain tumor segmentation model GM Conte, AD Weston, DC Vogelsang, KA Philbrick, JC Cai, M Barbera, ... Radiology 299 (2), 313-323, 2021 | 74 | 2021 |
A deep learning tool for automated radiographic measurement of acetabular component inclination and version after total hip arthroplasty P Rouzrokh, CC Wyles, KA Philbrick, T Ramazanian, AD Weston, JC Cai, ... The Journal of arthroplasty 36 (7), 2510-2517. e6, 2021 | 72 | 2021 |
What does deep learning see? Insights from a classifier trained to predict contrast enhancement phase from CT images KA Philbrick, K Yoshida, D Inoue, Z Akkus, TL Kline, AD Weston, ... American Journal of Roentgenology 211 (6), 1184-1193, 2018 | 70 | 2018 |
Complete abdomen and pelvis segmentation using U‐net variant architecture AD Weston, P Korfiatis, KA Philbrick, GM Conte, P Kostandy, T Sakinis, ... Medical physics 47 (11), 5609-5618, 2020 | 27 | 2020 |
Fully automated segmentation of head CT neuroanatomy using deep learning JC Cai, Z Akkus, KA Philbrick, A Boonrod, S Hoodeshenas, AD Weston, ... Radiology: Artificial Intelligence 2 (5), e190183, 2020 | 24 | 2020 |
Characterization of transverse isotropy in compressed tissue-mimicking phantoms MW Urban, M Lopera, S Aristizabal, C Amador, I Nenadic, RR Kinnick, ... IEEE transactions on ultrasonics, ferroelectrics, and frequency control 62 …, 2015 | 19 | 2015 |
Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence aided image segmentation: Associations with body … LP Janssens, AD Weston, D Singh, G Spears, WS Harmsen, N Takahashi, ... Pancreatology 21 (8), 1524-1530, 2021 | 10 | 2021 |
Machine Learning for Diagnosis of Pulmonary Hypertension by Echocardiography V Anand, AD Weston, CG Scott, GC Kane, PA Pellikka, RE Carter Mayo Clinic Proceedings 99 (2), 260-270, 2024 | 3 | 2024 |
Older Tissue Age Derived From Abdominal Computed Tomography Biomarkers of Muscle, Fat, and Bone Is Associated With Chronic Conditions and Higher Mortality AD Rule, BR Grossardt, AD Weston, HW Garner, TL Kline, ... Mayo Clinic Proceedings, 2024 | 2 | 2024 |
Demystifying statistics and machine learning in analysis of structured tabular data B Khosravi, AD Weston, F Nugen, JP Mickley, HM Kremers, CC Wyles, ... The Journal of Arthroplasty 38 (10), 1943-1947, 2023 | 2 | 2023 |
Machine learning-based risk stratification for mortality in patients with severe aortic regurgitation V Anand, H Hu, AD Weston, CG Scott, HI Michelena, SV Pislaru, ... European Heart Journal-Digital Health 4 (3), 188-195, 2023 | 2 | 2023 |
Association between computerized tomography (CT) study of body composition and severity of acute pancreatitis: Use of a novel Z-score supports obesity paradox M Horibe, N Takahashi, AD Weston, K Philbrick, S Yamamoto, ... Clinical Nutrition 41 (8), 1676-1679, 2022 | 2 | 2022 |
Predicting Penicillin Allergy: A United States Multicenter Retrospective Study A Gonzalez-Estrada, MA Park, JJO Accarino, A Banerji, I Carrillo-Martin, ... The Journal of Allergy and Clinical Immunology: In Practice, 2024 | 1 | 2024 |
A deep learning approach for detecting liver cirrhosis from volatolomic analysis of exhaled breath M Wieczorek, A Weston, M Ledenko, JN Thomas, R Carter, T Patel Frontiers in Medicine 9, 992703, 2022 | 1 | 2022 |
Automated Segmentation of CT Abdomen for Quantifying Body Composition Using Deep Learning AD Weston College of Medicine-Mayo Clinic, 2019 | 1 | 2019 |