HH
Ha Hong
neurosciencecs.NEDeep LearningModels, Neurologicalq-bio.NCAlgorithmsArtificial Intelligencecs.CVcs.LGechocardiography
On Valency
published · living versionsW_buuac3pw·v1 · currentpublished
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
with Charles F. Cadieu, Daniel L. K. Yamins, Nicolas Pinto, Diego Ardila +3
1 version
Preprints & journals
16 papers in the corpus · 2009–2025The Role of Industry to Grow Clinical Artificial Intelligence Applications in Gastroenterology and Endoscopy.40021243 · Chiang, Austin L, Hong, Ha2025 · 1 citationGastrointestinal endoscopy clinics of North America. 2025;35(2):485-501
Deep Learning for Cardiovascular Imaging: A Review.37728933 · Wehbe, Ramsey M, Katsaggelos, Aggelos K, Hammond, Kristian J et al.2023 · 71 citationsJAMA cardiology. 2023;8(11):1089-1098
Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex.34114566 · Jia, Xiaoxuan, Hong, Ha, DiCarlo, James J2021 · 17 citationseLife. 2021;10
Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use.33599681 · Narang, Akhil, Bae, Richard, Hong, Ha et al.2022 · 447 citationsJAMA cardiology. 2021;6(6):624-632
Deep Learning-Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction: A Point-of-Care Solution.34126754 · Asch, Federico M, Mor-Avi, Victor, Rubenson, David et al.2021 · 81 citationsCirculation. Cardiovascular imaging. 2021;14(6):e012293
Unsupervised changes in core object recognition behavior are predicted by unsupervised neural plasticity in inferior temporal cortex10.1101/2020.01.13.900837v3 · Jia, X., Hong, H., DiCarlo, J. J.2020 · 2 citationsbioRxiv
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs1909.06161v2 · Jonas Kubilius, Martin Schrimpf, Kohitij Kar et al.2019 · 188 citationsarXiv
Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert.31522550 · Asch, Federico M, Poilvert, Nicolas, Abraham, Theodore et al.2020 · 197 citationsCirculation. Cardiovascular imaging. 2019;12(9):e009303
Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?10.1101/407007v2 · Schrimpf, M., Kubilius, J., Hong, H. et al.2018 · 461 citationsbioRxiv
Explicit information for category-orthogonal object properties increases along the ventral stream.26900926 · Hong, Ha, Yamins, Daniel L K, Majaj, Najib J et al.2016 · 337 citationsNature neuroscience. 2016;19(4):613-22
A performance-optimized model of neural responses across the ventral visual stream10.1101/036475v1 · Darren Seibert, Daniel L Yamins, Diego Ardila et al.2016 · 14 citationsbioRxiv
Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance.26424887 · Majaj, Najib J, Hong, Ha, Solomon, Ethan A et al.2015 · 205 citationsThe Journal of neuroscience : the official journal of the Society for Neuroscience. 2015;35(39):13402-18
Deep neural networks rival the representation of primate IT cortex for core visual object recognition.25521294 · Cadieu, Charles F, Hong, Ha, Yamins, Daniel L K et al.2015 · 824 citationsPLoS computational biology. 2014;10(12):e1003963
Performance-optimized hierarchical models predict neural responses in higher visual cortex.24812127 · Yamins, Daniel L K, Hong, Ha, Cadieu, Charles F et al.2014 · 1,923 citationsProceedings of the National Academy of Sciences of the United States of America. 2014;111(23):8619-24
The Neural Representation Benchmark and its Evaluation on Brain and Machine1301.3530v2 · Charles F. Cadieu, Ha Hong, Dan Yamins et al.2013 · 28 citationsarXiv
Flickering analysis of erythrocyte mechanical properties: dependence on oxygenation level, cell shape, and hydration level.19751665 · Yoon, Young-Zoon, Hong, Ha, Brown, Aidan et al.2009 · 99 citationsBiophysical journal. 2009;97(6):1606-15
Career total: 31 works. 16 are in this corpus.
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