Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification S Qiu, PS Joshi, MI Miller, C Xue, X Zhou, C Karjadi, GH Chang, AS Joshi, ... Brain 143 (6), 1920-1933, 2020 | 342 | 2020 |
Multimodal deep learning for Alzheimer’s disease dementia assessment S Qiu, MI Miller, PS Joshi, JC Lee, C Xue, Y Ni, Y Wang, I De Anda-Duran, ... Nature communications 13 (1), 3404, 2022 | 160 | 2022 |
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports CJ Ong, A Orfanoudaki, R Zhang, FPM Caprasse, M Hutch, L Ma, D Fard, ... PloS one 15 (6), e0234908, 2020 | 78 | 2020 |
Anisocoria and poor pupil reactivity by quantitative pupillometry in patients with intracranial pathology BR Prescott, H Saglam, JA Duskin, MI Miller, AS Thakur, EA Gholap, ... Critical care medicine 50 (2), e143-e153, 2022 | 22 | 2022 |
Machine learning in clinical trials: A primer with applications to neurology MI Miller, LC Shih, VB Kolachalama Neurotherapeutics 20 (4), 1066-1080, 2023 | 20 | 2023 |
Natural language processing of radiology reports to detect complications of ischemic stroke MI Miller, A Orfanoudaki, M Cronin, H Saglam, I So Yeon Kim, O Balogun, ... Neurocritical care 37 (Suppl 2), 291-302, 2022 | 14 | 2022 |
Peripheral blood lymphocytes and platelets are prognostic in surgical pT1 non-small cell lung cancer A Sulibhavi, S Asokan, MI Miller, P Moreira, BD Daly, HC Fernando, ... The Annals of Thoracic Surgery 109 (2), 337-342, 2020 | 14 | 2020 |
Utilization of mental health services in pediatric patients surviving penetrating trauma resulting from interpersonal violence MY Neufeld, MG Janeway, SY Lee, MI Miller, EA Smith, B Kalesan, ... The American Journal of Surgery 221 (1), 233-239, 2021 | 11 | 2021 |
Delayed lung expansion after decortication in a case of trapped lung resulting from catamenial haemothorax MI Miller, AC Meister, VR Litle, K Suzuki Interactive CardioVascular and Thoracic Surgery 30 (3), 493-494, 2020 | 5 | 2020 |
P1‐119: ENHANCING DEEP LEARNING MODEL PERFORMANCE FOR AD DIAGNOSIS USING ROI‐BASED SELECTION S Qiu, MS Heydari, MI Miller, PS Joshi, BC Wong, R Au, VB Kolachalama Alzheimer's & Dementia 15, P280-P281, 2019 | 3 | 2019 |
Contrast Staining in Noninfarcted Tissue after Endovascular Treatment of Acute Ischemic Stroke M Abdalkader, TN Nguyen, A Sahoo, MM Qureshi, CJ Ong, P Klein, ... American Journal of Neuroradiology 45 (6), 701-707, 2024 | 1 | 2024 |
Association of structural MRI with Braak staging using neural network‐based risk scoring MI Miller, S Qiu, PS Joshi, J Lee, R Au, VB Kolachalama Alzheimer's & Dementia 19, e068032, 2023 | 1 | 2023 |
Association of acoustic perturbation measures with dementia status: A Framingham Heart Study C Xue, C Karjadi, MI Miller, C Cordella, R Au, VB Kolachalama Alzheimer's & Dementia 19, e068367, 2023 | 1 | 2023 |
Differential Assessment of Internal Jugular Vein Stenosis in Patients Undergoing CT and MRI with Contrast M Abdalkader, MI Miller, P Klein, FK Hui, JJ Siracuse, AZ Mian, O Sakai, ... Tomography 10 (2), 266-276, 2024 | | 2024 |
New Model for Osteoporosis Risk Screening Using Emergency Department Visits A Alabd, A Alabd, M Miller, C Walsh, A Silverman, N Dabbish, C Kuoiloi, ... Cureus 14 (2), 2022 | | 2022 |
Abstract 1122‐000089: Characterization of Critical Sequelae in Ischemic Stroke Using Natural Language Processing MI Miller, A Orfanoudaki, B Brush, H Saglam, O Balogun, M Tzalidi, ... Stroke: Vascular and Interventional Neurology 1, e12143, 2021 | | 2021 |
Development and validation of a deep learning framework for Alzheimer’s disease classification VB Kolachalama, S Qiu, PS Joshi, MI Miller, C Xue, C Karjadi, GH Chang, ... bioRxiv, 832519, 2019 | | 2019 |
Reducing Risks for Osteoporotic Fractures: The Efficacy of Early Screening in the ED S Miller, C Kuoiloi, N Dabbish, M Carney, J Ma, R McEnteee, J Sensbach, ... APHA 2017 Annual Meeting & Expo (Nov. 4-Nov. 8), 2017 | | 2017 |