Segui
Changxin Lai
Changxin Lai
PhD Candidate in Biomedical Engineering, Johns Hopkins University
Email verificata su jhu.edu - Home page
Titolo
Citata da
Citata da
Anno
Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart
DM Popescu, JK Shade, C Lai, KN Aronis, D Ouyang, MV Moorthy, ...
Nature Cardiovascular Research, 1-10, 2022
622022
Optimal ECG-lead selection increases generalizability of deep learning on ECG abnormality classification
C Lai, S Zhou, NA Trayanova
Philosophical Transactions of the Royal Society A 379 (2212), 20200258, 2021
352021
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac Magnetic Resonance Imaging for Scar Segmentation and Clinical Feature Extraction
DM Popescu, HG Abramson, R Yu, C Lai, JK Shade, KC Wu, M Maggioni, ...
Cardiovascular Digital Health Journal, 2021
35*2021
Viscoelastic characterization of injured brain tissue after controlled cortical impact (CCI) using a mouse model
S Qiu, W Jiang, MS Alam, S Chen, C Lai, T Wang, X Li, J Liu, M Gao, ...
Journal of neuroscience methods 330, 108463, 2020
282020
Measurement of Intra-Orbital Structures in Normal Chinese Adults Based on a Three-Dimensional Coordinate System
Y Ji, C Lai, L Gu, X Fan
Current eye research 43 (12), 1477-1483, 2018
142018
A machine learning approach for magnetic resonance image–based mouse brain modeling and fast computation in controlled cortical impact
C Lai, Y Chen, T Wang, J Liu, Q Wang, Y Du, Y Feng
Medical & Biological Engineering & Computing 58, 2835-2844, 2020
42020
Trace element evidence for diverse origins of superheavy pyrite in Neoproterozoic sedimentary strata
J Kang, DD Gregory, B Gill, S Huang, C Lai, Z Chang, H Cui, I Belousov, ...
Geochimica et Cosmochimica Acta 364, 1-9, 2024
32024
Magnetic Resonance Image-Based Modeling for Neurosurgical Interventions
Y Li, C Lai, C Zhang, A Singer, S Qiu, B Sun, MS Sacks, F Yuan
Molecular & Cellular Biomechanics 16 (4), 245, 2019
2*2019
PO-02-095 MAARS-HCM: MULTI-MODAL ARTIFICIAL INTELLIGENCE (AI) FOR VENTRICULAR ARRHYTHMIA (VA) RISK STRATIFICATION IN HYPERTROPHIC CARDIOMYOPATHY (HCM) PATIENTS
C Lai, M Yin, DM Popescu, DY Lu, E Scherer, M Engels, E Binka, ...
Heart Rhythm 21 (5), S300, 2024
2024
CE-452775-2 MARS-HCM: MULTI-MODAL DEEP LEARNING METHOD FOR VENTRICULAR ARRHYTHMIA (VA) RISK STRATIFICATION IN HYPERTROPHIC CARDIOMYOPATHY (HCM) PATIENTS
C Lai, DM Popescu, M Yin, D Lu, JK Shade, M Engels, E Binka, J Chrispin, ...
Heart Rhythm 20 (5), S46-S47, 2023
2023
PO-700-04 PREDICTING RISK OF SUDDEN CARDIAC DEATH BY ARRHYTHMIA IN HYPERTROPHIC CARDIOMYOPATHY PATIENTS BY APPLYING MACHINE LEARNING TO CARDIAC MAGNETIC RESONANCE IMAGES AND …
C Lai, DM Popescu, JK Shade, M Engels, E Binka, J Chrispin, ...
Heart Rhythm 19 (5), S435, 2022
2022
DH-575-04 ARRHYTHMIC SUDDEN DEATH (SCDA) SURVIVAL PREDICTION USING DEEP LEARNING (DL) ANALYSIS OF CONTRAST-ENHANCED CARDIAC MAGNETIC RESONANCE IMAGING (LGE-CMR)
DM Popescu, JK Shade, C Lai, KN Aronis, D Ouyang, D Popescu, ...
Heart Rhythm 19 (5), S22, 2022
2022
Heart Rhythm Classification From an Optimal Lead Subset of the 12-lead Electrocardiogram by Deep Learning
C Lai, S Zhou, N Trayanova
Circulation 142 (Suppl_3), A15042-A15042, 2020
2020
A Machine Learning Based Biomechanical Model for Real-time MR-guided Neuro-intervention
S Qiu, A Singer, C Lai, B Zufiria, D Wang, Y Li, B Sun, Y Du, ZP Liang, ...
ISMRM 27th Annual Meeting & Exhibition, 2019
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–14