| Deep neural networks improve radiologists’ performance in breast cancer screening N Wu, J Phang, J Park, Y Shen, Z Huang, M Zorin, S Jastrzębski, T Févry, ... IEEE transactions on medical imaging 39 (4), 1184-1194, 2019 | 613 | 2019 |
| ChatGPT and other large language models are double-edged swords Y Shen, L Heacock, J Elias, KD Hentel, B Reig, G Shih, L Moy Radiology 307 (2), e230163, 2023 | 594 | 2023 |
| High-resolution breast cancer screening with multi-view deep convolutional neural networks KJ Geras, S Wolfson, Y Shen, N Wu, S Kim, E Kim, L Heacock, U Parikh, ... arXiv preprint arXiv:1703.07047, 2017 | 283 | 2017 |
| Pulmonary nodules in patients with primary malignancy: comparison of hybrid PET/MR and PET/CT imaging H Chandarana, L Heacock, R Rakheja, LR DeMello, J Bonavita, TK Block, ... Radiology 268 (3), 874-881, 2013 | 169 | 2013 |
| An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization Y Shen, N Wu, J Phang, J Park, K Liu, S Tyagi, L Heacock, SG Kim, L Moy, ... Medical image analysis 68, 101908, 2021 | 159 | 2021 |
| Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams Y Shen, FE Shamout, JR Oliver, J Witowski, K Kannan, J Park, N Wu, ... Nature communications 12 (1), 5645, 2021 | 152 | 2021 |
| Evaluation of a known breast cancer using an abbreviated breast MRI protocol: correlation of imaging characteristics and pathology with lesion detection and conspicuity L Heacock, AN Melsaether, SL Heller, Y Gao, KM Pysarenko, JS Babb, ... European journal of radiology 85 (4), 815-823, 2016 | 147 | 2016 |
| Laparoscopic sleeve gastrectomy: does bougie size affect mean% EWL? Short-term outcomes M Parikh, M Gagner, L Heacock, G Strain, G Dakin, A Pomp Surgery for obesity and related diseases 4 (4), 528-533, 2008 | 132 | 2008 |
| Machine learning in breast MRI B Reig, L Heacock, KJ Geras, L Moy Journal of magnetic resonance imaging 52 (4), 998-1018, 2020 | 129 | 2020 |
| Comparison of weight loss and body composition changes with four surgical procedures GW Strain, M Gagner, A Pomp, G Dakin, WB Inabnet, J Hsieh, L Heacock, ... Surgery for Obesity and Related Diseases 5 (5), 582-587, 2009 | 120 | 2009 |
| Automated segmentation of tissues using CT and MRI: a systematic review L Lenchik, L Heacock, AA Weaver, RD Boutin, TS Cook, J Itri, CG Filippi, ... Academic radiology 26 (12), 1695-1706, 2019 | 115 | 2019 |
| PET/MRI for the evaluation of patients with lymphoma: initial observations L Heacock, J Weissbrot, R Raad, N Campbell, KP Friedman, F Ponzo, ... American Journal of Roentgenology 204 (4), 842-848, 2015 | 100 | 2015 |
| Laparoscopic “gastrojejunal sleeve reduction” as a revision procedure for weight loss failure after Roux-en-Y gastric bypass M Parikh, L Heacock, M Gagner Obesity surgery 21, 650-654, 2011 | 70 | 2011 |
| Outcome of small lung nodules missed on hybrid PET/MRI in patients with primary malignancy RA Raad, KP Friedman, L Heacock, F Ponzo, A Melsaether, ... Journal of Magnetic Resonance Imaging 43 (2), 504-511, 2016 | 66 | 2016 |
| Breast MRI for evaluation of response to neoadjuvant therapy B Reig, AA Lewin, L Du, L Heacock, HK Toth, SL Heller, Y Gao, L Moy Radiographics 41 (3), 665-679, 2021 | 53 | 2021 |
| Magnetic resonance imaging in screening of breast cancer Y Gao, B Reig, L Heacock, DL Bennett, SL Heller, L Moy Radiologic Clinics 59 (1), 85-98, 2021 | 53 | 2021 |
| Compressed sensing for breast MRI: resolving the trade-off between spatial and temporal resolution S Vreemann, A Rodriguez-Ruiz, D Nickel, L Heacock, L Appelman, ... Investigative radiology 52 (10), 574-582, 2017 | 50 | 2017 |
| Comparison of conventional DCE‐MRI and a novel golden‐angle radial multicoil compressed sensing method for the evaluation of breast lesion conspicuity L Heacock, Y Gao, SL Heller, AN Melsaether, JS Babb, TK Block, R Otazo, ... Journal of Magnetic Resonance Imaging 45 (6), 1746-1752, 2017 | 48 | 2017 |
| Drug-induced, dementia-associated and non-dementia, non-drug delirium hospitalizations in the United States, 1998–2005: an analysis of the national inpatient sample RY Lin, LC Heacock, JF Fogel Drugs & aging 27, 51-61, 2010 | 46 | 2010 |
| Role of MRI to assess response to neoadjuvant therapy for breast cancer B Reig, L Heacock, A Lewin, N Cho, L Moy Journal of Magnetic Resonance Imaging 52 (6), 2020 | 44 | 2020 |
Linda MoyNew York University School of Medicine在 nyulangone.org 的电子邮件经过验证
