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Matthew I. Miller
Matthew I. Miller
Boston University School of Medicine
Verified email at bu.edu
Title
Cited by
Cited by
Year
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
2882020
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
1022022
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
692020
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
162022
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
142020
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
102021
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
82022
Machine learning in clinical trials: a primer with applications to neurology
MI Miller, LC Shih, VB Kolachalama
Neurotherapeutics 20 (4), 1066-1080, 2023
52023
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
52020
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, P280-P281, 2019
32019
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
12023
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
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
2023
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
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Articles 1–17