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Aditya Khosla

Showing results (1-10 of 8) with videos related to

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Neuroimage|April 5, 2016
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networksRadoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2017
Places: A 10 Million Image Database for Scene RecognitionBolei Zhou, Agata Lapedriza, Aditya Khosla, et al.
Scientific Reports|June 11, 2016
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondenceRadoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|July 15, 2022
Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumabVipul Baxi, George Lee, Chunzhe Duan, et al.
Nature Communications|March 13, 2021
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypesJames A Diao, Jason K Wang, Wan Fung Chui, et al.
Cancer Immunology Research|July 24, 2019
The Combined Effect of FGFR Inhibition and PD-1 Blockade Promotes Tumor-Intrinsic Induction of Antitumor ImmunitySangeetha Palakurthi, Mari Kuraguchi, Sima J Zacharek, et al.
Hepatology (Baltimore, Md.)|February 11, 2021
A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASHAmaro Taylor-Weiner, Harsha Pokkalla, Ling Han, et al.
JAMA|December 14, 2017
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast CancerBabak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neuroimage|April 5, 2016
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networksRadoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2017
Places: A 10 Million Image Database for Scene RecognitionBolei Zhou, Agata Lapedriza, Aditya Khosla, et al.
Scientific Reports|June 11, 2016
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondenceRadoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|July 15, 2022
Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumabVipul Baxi, George Lee, Chunzhe Duan, et al.
Nature Communications|March 13, 2021
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypesJames A Diao, Jason K Wang, Wan Fung Chui, et al.
Cancer Immunology Research|July 24, 2019
The Combined Effect of FGFR Inhibition and PD-1 Blockade Promotes Tumor-Intrinsic Induction of Antitumor ImmunitySangeetha Palakurthi, Mari Kuraguchi, Sima J Zacharek, et al.
Hepatology (Baltimore, Md.)|February 11, 2021
A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASHAmaro Taylor-Weiner, Harsha Pokkalla, Ling Han, et al.
JAMA|December 14, 2017
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast CancerBabak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, et al.
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