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Daniel W. Apley

Weill Cornell Medicine

35H-index
206Paper Count
7.0KCitation Count
Published Papers 29
Publication Date
Evaluating Acute Stroke Diagnosis Using Simulation Scenarios
err2025-12-01
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PREAI
errLiberman, Ava L.; Apley, Daniel; Zhu, Jingyu; Romo, Elida; Holl, Jane L.; Khorzad, Rebeca; Maas, Matthew; Mendelson, Scott J.; Richards, Christopher T.; Song, Sarah; Prabhakaran, Shyam
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End-to-End Automated Segmentation Framework for Four-Dimensional Scanning Transmission Electron Microscopy Data
err2025-10-01
err0
PREAI
errLiu, Wei; Zhang, Shengtong; Wahl, Carolin B.; Wu, Jiezhong; dos Reis, Roberto; Mirkin, Chad A.; Dravid, Vinayak P.; Chen, Wei; Apley, Daniel W.
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A framework for supervised and unsupervised segmentation and classification of materials microstructure images
err2025-09-30
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PREAI
errKungang Zhang; Wei Chen; Wing K. Liu; L. Catherine Brinson; Daniel W. Apley
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Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data
err2025-05-05
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PREAI
errZhang, HR; Georgescu, AB; Yerramilli, S; Karpovich, C; Apley, DW; Olivetti, EA; Rondinelli, JM; Chen, W
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Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
err2023-11-09
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errOAAI
errChen, Jie; Zhang, Hengrui; Wahl, Carolin B.; Liu, Wei; Mirkin, Chad A.; Dravid, Vinayak P.; Apley, Daniel W.; Chen, Wei
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Convolution hierarchical deep-learning neural network (C-HiDeNN) with graphics processing unit (GPU) acceleration
err2023-05-31
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PREAI
errPark, Chanwook; Lu, Ye; Saha, Sourav; Xue, Tianju; Guo, Jiachen; Mojumder, Satyajit; Apley, Daniel W.; Wagner, Gregory J.; Liu, Wing Kam
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Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond
err2023-05-16
err19
PREAI
errLu, Ye; Li, Hengyang; Zhang, Lei; Park, Chanwook; Mojumder, Satyajit; Knapik, Stefan; Sang, Zhongsheng; Tang, Shaoqiang; Apley, Daniel W.; Wagner, Gregory J.; Liu, Wing Kam
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Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimization
err2023-05-03
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PREAI
errLi, Hengyang; Knapik, Stefan; Li, Yangfan; Park, Chanwook; Guo, Jiachen; Mojumder, Satyajit; Lu, Ye; Chen, Wei; Apley, Daniel W.; Liu, Wing Kam
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Uncertainty-aware mixed-variable machine learning for materials design
err2022-11-17
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errOAAI
errZhang, Hengrui; Chen, Wei(Wayne); Iyer, Akshay; Apley, Daniel W.; Chen, Wei
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Coefficient tree regression: fast, accurate and interpretable predictive modeling
err2021-11-12
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errOAAI
errSurer, Ozge; Apley, Daniel W.; Malthouse, Edward C.
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Database, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds
err2021-07-06
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errOAAI
errGeorgescu, Alexandru B.; Ren, Peiwen; Toland, Aubrey R.; Zhang, Shengtong; Miller, Kyle D.; Apley, Daniel W.; Olivetti, Elsa A.; Wagner, Nicholas; Rondinelli, James M.
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Nonstationarity Analysis of Materials Microstructures via Fisher Score Vectors
err2021-06-01
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errOAAI
errZhang, Kungang; Apley, Daniel W.; Chen, Wei
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Projection-free kernel principal component analysis for denoising
err2019-09-01
err11
errOAAI
errAnh Tuan Bui; Im, Joon-Ku; Apley, Daniel W.; Runger, George C.
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Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
err2018-06-01
err305
errOAAI
errBostanabad, Ramin; Zhang, Yichi; Li, Xiaolin; Kearney, Tucker; Brinson, L. Catherine; Apley, Daniel W.; Liu, Wing Kam; Chen, Wei
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Enhanced Collaborative Optimization Using Alternating Direction Method of Multipliers
err2018-04-27
err12
PREAI
errTao, Siyu; Shintani, Kohei; Yang, Guang; Meingast, Herb; Apley, Daniel W.; Chen, Wei
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