| Performance-optimized hierarchical models predict neural responses in higher visual cortex DLK Yamins*, H Hong*, CF Cadieu, EA Solomon, D Seibert, JJ DiCarlo Proceedings of the National Academy of Sciences 111 (23), 8619-8624, 2014 | 2112 | 2014 |
| Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition CF Cadieu, H Hong, DLK Yamins, N Pinto, D Ardila, EA Solomon, ... PLoS computational biology 10 (12), e1003963, 2014 | 819 | 2014 |
| Brain-score: Which artificial neural network for object recognition is most brain-like? M Schrimpf, J Kubilius, H Hong, NJ Majaj, R Rajalingham, EB Issa, K Kar, ... BioRxiv, 407007, 2018 | 509 | 2018 |
| Explicit information for category-orthogonal object properties increases along the ventral stream H Hong*, DLK Yamins*, NJ Majaj, JJ DiCarlo Nature neuroscience 19 (4), 613-622, 2016 | 357 | 2016 |
| Brain-like object recognition with high-performing shallow recurrent ANNs J Kubilius, M Schrimpf, K Kar, R Rajalingham, H Hong, N Majaj, E Issa, ... Advances in neural information processing systems 32, 2019 | 265 | 2019 |
| Utility of a deep-learning algorithm to guide novices to acquire echocardiograms for limited diagnostic use A Narang, R Bae, H Hong, Y Thomas, S Surette, C Cadieu, A Chaudhry, ... JAMA cardiology 6 (6), 624-632, 2021 | 214 | 2021 |
| Simple learned weighted sums of inferior temporal neuronal firing rates accurately predict human core object recognition performance NJ Majaj*, H Hong*, EA Solomon, JJ DiCarlo The Journal of Neuroscience 35 (39), 13402-13418, 2015 | 212 | 2015 |
| Hierarchical modular optimization of convolutional networks achieves representations similar to macaque IT and human ventral stream DL Yamins*, H Hong*, C Cadieu, JJ DiCarlo Advances in neural information processing systems, 3093-3101, 2013 | 191 | 2013 |
| Automated echocardiographic quantification of left ventricular ejection fraction without volume measurements using a machine learning algorithm mimicking a human expert FM Asch, N Poilvert, T Abraham, M Jankowski, J Cleve, M Adams, ... Circulation: Cardiovascular Imaging 12 (9), e009303, 2019 | 150 | 2019 |
| Flickering analysis of erythrocyte mechanical properties: dependence on oxygenation level, cell shape, and hydration level YZ Yoon, H Hong, A Brown, DC Kim, DJ Kang, VL Lew, P Cicuta Biophysical journal 97 (6), 1606-1615, 2009 | 113 | 2009 |
| Deep learning–based automated echocardiographic quantification of left ventricular ejection fraction: a point-of-care solution FM Asch, V Mor-Avi, D Rubenson, S Goldstein, M Saric, I Mikati, S Surette, ... Circulation: Cardiovascular Imaging 14 (6), e012293, 2021 | 44 | 2021 |
| The neural representation benchmark and its evaluation on brain and machine CF Cadieu, H Hong, D Yamins, N Pinto, NJ Majaj, JJ DiCarlo International Conference on Learning Representations (ICLR), 2013 | 36 | 2013 |
| Guided navigation of an ultrasound probe C Cadieu, H Hong, K Koepsell, J Mathe, M Wojtczyk US Patent App. 15/831,375, 2018 | 29 | 2018 |
| Video clip selector for medical imaging and diagnosis C Cadieu, H Hong, K Koepsell, J Mathe, N Poilvert, M Cannon, ... US Patent 10,806,402, 2020 | 18 | 2020 |
| Deep learning for cardiovascular imaging: A review RM Wehbe, AK Katsaggleos, KJ Hammond, H Hong, FS Ahmad, ... JAMA cardiology, 2023 | 17 | 2023 |
| Accuracy and reproducibility of a novel artificial intelligence deep learning-based algorithm for automated calculation of ejection fraction in echocardiography FM Asch, T Abraham, M Jankowski, J Cleve, M Adams, N Romano, ... Journal of the American College of Cardiology 73 (9S1), 1447-1447, 2019 | 17 | 2019 |
| A performance-optimized model of neural responses across the ventral visual stream D Seibert, D Yamins, D Ardila, H Hong, JJ DiCarlo, JL Gardner BioRxiv, 036475, 2016 | 14 | 2016 |
| Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex X Jia, H Hong, JJ DiCarlo elife 10, e60830, 2021 | 12 | 2021 |
| Artificially intelligent ejection fraction determination C Cadieu, MG Cannon, H Hong, K Koepsell, J Mathe, N Poilvert US Patent 10,470,677, 2019 | 9 | 2019 |
| Computational similarities between visual and auditory cortex studied with convolutional neural networks, fMRI, and electrophysiology A Kell, D Yamins, S Norman-Haignere, D Seibert, H Hong, J DiCarlo, ... Journal of Vision 15 (12), 1093-1093, 2015 | 8 | 2015 |
Charles CadieuFounder / CEO / Advisor / Investor在 alum.mit.edu 的电子邮件经过验证
