| Macular and optic nerve head vessel density and progressive retinal nerve fiber layer loss in glaucoma S Moghimi, LM Zangwill, RC Penteado, K Hasenstab, E Ghahari, H Hou, ... Ophthalmology 125 (11), 1720-1728, 2018 | 155 | 2018 |
| Measurement floors and dynamic ranges of OCT and OCT angiography in glaucoma S Moghimi, C Bowd, LM Zangwill, RC Penteado, K Hasenstab, H Hou, ... Ophthalmology 126 (7), 980-988, 2019 | 143 | 2019 |
| Peripapillary and macular vessel density in patients with primary open-angle glaucoma and unilateral visual field loss A Yarmohammadi, LM Zangwill, PIC Manalastas, NJ Fuller, A Diniz-Filho, ... Ophthalmology 125 (4), 578-587, 2018 | 133 | 2018 |
| Automated CT and MRI liver segmentation and biometry using a generalized convolutional neural network K Wang, A Mamidipalli, T Retson, N Bahrami, K Hasenstab, K Blansit, ... Radiology: Artificial Intelligence 1 (2), 180022, 2019 | 116 | 2019 |
| Comparison of handcrafted features and convolutional neural networks for liver MR image adequacy assessment W Lin, K Hasenstab, G Moura Cunha, A Schwartzman Scientific Reports 10 (1), 20336, 2020 | 110 | 2020 |
| Electrophysiological evidence of heterogeneity in visual statistical learning in young children with ASD SS Jeste, N Kirkham, D Senturk, K Hasenstab, C Sugar, C Kupelian, ... Developmental science 18 (1), 90-105, 2015 | 74 | 2015 |
| Association of macular and circumpapillary microvasculature with visual field sensitivity in advanced glaucoma E Ghahari, C Bowd, LM Zangwill, J Proudfoot, KA Hasenstab, H Hou, ... American journal of ophthalmology 204, 51-61, 2019 | 59 | 2019 |
| A multi‐dimensional functional principal components analysis of EEG data K Hasenstab, A Scheffler, D Telesca, CA Sugar, S Jeste, C DiStefano, ... Biometrics 73 (3), 999-1009, 2017 | 59 | 2017 |
| Progression of primary open-angle glaucoma in diabetic and nondiabetic patients H Hou, T Shoji, LM Zangwill, S Moghimi, LJ Saunders, K Hasenstab, ... American Journal of ophthalmology 189, 1-9, 2018 | 50 | 2018 |
| Automated CT staging of chronic obstructive pulmonary disease severity for predicting disease progression and mortality with a deep learning convolutional neural network KA Hasenstab, N Yuan, T Retson, DJ Conrad, S Kligerman, DA Lynch, ... Radiology: Cardiothoracic Imaging 3 (2), e200477, 2021 | 39 | 2021 |
| Physiologic artifacts in resting state oscillations in young children: methodological considerations for noisy data K McEvoy, K Hasenstab, D Senturk, A Sanders, SS Jeste Brain imaging and behavior 9, 104-114, 2015 | 39 | 2015 |
| Identifying longitudinal trends within EEG experiments K Hasenstab, CA Sugar, D Telesca, K McEvoy, S Jeste, D Şentürk Biometrics 71 (4), 1090-1100, 2015 | 28 | 2015 |
| MRI estimated changes in visceral adipose tissue and liver fat fraction in patients with obesity during a very low-calorie-ketogenic diet compared to a standard low-calorie diet GM Cunha, LLC de Mello, KA Hasenstab, L Spina, I Bussade, ... Clinical Radiology 75 (7), 526-532, 2020 | 17 | 2020 |
| Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images KA Hasenstab, GM Cunha, A Higaki, S Ichikawa, K Wang, T Delgado, ... European radiology experimental 3, 1-14, 2019 | 17 | 2019 |
| Association between lamina cribrosa defects and progressive retinal nerve fiber layer loss in glaucoma S Moghimi, LM Zangwill, PIC Manalastas, MH Suh, RC Penteado, H Hou, ... JAMA ophthalmology 137 (4), 425-433, 2019 | 16 | 2019 |
| Robust functional clustering of ERP data with application to a study of implicit learning in autism K Hasenstab, C Sugar, D Telesca, S Jeste, D Şentürk Biostatistics 17 (3), 484-498, 2016 | 16 | 2016 |
| Macular vessel density in glaucomatous eyes with focal lamina cribrosa defects E Ghahari, C Bowd, LM Zangwill, MH Suh, T Shoji, KA Hasenstab, ... Journal of glaucoma 27 (4), 342-349, 2018 | 13 | 2018 |
| CNN-based deformable registration facilitates fast and accurate air trapping measurements at inspiratory and expiratory CT KA Hasenstab, J Tabalon, N Yuan, T Retson, A Hsiao Radiology: Artificial Intelligence 4 (1), e210211, 2021 | 8 | 2021 |
| Automated CNN–Based Analysis Versus Manual Analysis for MR Elastography in Nonalcoholic Fatty Liver Disease: Intermethod Agreement and Fibrosis Stage Discriminative Performance GM Cunha, TI Delgado, MS Middleton, S Liew, WC Henderson, D Batakis, ... American Journal of Roentgenology 219 (2), 224-232, 2022 | 7 | 2022 |
| Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time GM Cunha, KA Hasenstab, A Higaki, K Wang, T Delgado, RL Brunsing, ... European journal of radiology 124, 108837, 2020 | 7 | 2020 |
