| 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 | 289 | 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 | 223 | 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 | 134 | 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 | 103 | 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 | 98 | 2019 |
| 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 |
| 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 | 68 | 2021 |
| 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 | 67 | 2021 |
| 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 | 24 | 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 | 21 | 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 | 9 | 2021 |
| 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 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 | 1 | 2024 |
| 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 |
| 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 | 1 | 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 | 1 | 2022 |
| Automated Segmentation of CT Abdomen for Quantifying Body Composition Using Deep Learning AD Weston College of Medicine-Mayo Clinic, 2019 | 1 | 2019 |
| An Automated Approach for Diagnosing Allergic Contact Dermatitis Using Deep Learning to Support Democratization of Patch Testing MR Hall, AD Weston, MA Wieczorek, MM Hobbs, MA Caruso, H Siddiqui, ... Mayo Clinic Proceedings: Digital Health 2 (1), 131-138, 2024 | | 2024 |
| Abdominal body composition reference ranges and association with chronic conditions in an age-and sex-stratified representative sample of a geographically defined American … AD Weston, BR Grossardt, HW Garner, TL Kline, AM Chamberlain, ... The Journals of Gerontology, Series A: Biological Sciences and Medical …, 2024 | | 2024 |
