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IEEE Transactions on Pattern Analysis and Machine Intelligence
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February 24, 2022
Deep Time Series Forecasting With Shape and Temporal Criteria
Vincent Le Guen, Nicolas Thome
International Journal of Computer Assisted Radiology and Surgery
|
November 9, 2021
3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks
Olivier Petit, Nicolas Thome, Luc Soler
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
SyMIL: MinMax Latent SVM for Weakly Labeled Data
Thibaut Durand, Nicolas Thome, Matthieu Cord
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
July 11, 2018
Exploiting Negative Evidence for Deep Latent Structured Models
Thibaut Durand, Nicolas Thome, Matthieu Cord
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
June 21, 2021
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels
Olivier Petit, Nicolas Thome, Luc Soler
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
October 13, 2012
Extended coding and pooling in the HMAX model
Christian Thériault, Nicolas Thome, Matthieu Cord
IEEE Transactions on Neural Networks and Learning Systems
|
November 25, 2014
Learning deep hierarchical visual feature coding
Hanlin Goh, Nicolas Thome, Matthieu Cord, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 4, 2025
Optimization of Rank Losses for Image Retrieval
Elias Ramzi, Nicolas Audebert, Clement Rambour, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 4, 2021
Confidence Estimation via Auxiliary Models
Charles Corbiere, Nicolas Thome, Antoine Saporta, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|
August 20, 2025
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
Nathan Painchaud, Jeremie Stym-Popper, Pierre-Yves Courand, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 24, 2022
Deep Time Series Forecasting With Shape and Temporal Criteria
Vincent Le Guen, Nicolas Thome
International Journal of Computer Assisted Radiology and Surgery
|
November 9, 2021
3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks
Olivier Petit, Nicolas Thome, Luc Soler
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
SyMIL: MinMax Latent SVM for Weakly Labeled Data
Thibaut Durand, Nicolas Thome, Matthieu Cord
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
July 11, 2018
Exploiting Negative Evidence for Deep Latent Structured Models
Thibaut Durand, Nicolas Thome, Matthieu Cord
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
June 21, 2021
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels
Olivier Petit, Nicolas Thome, Luc Soler
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
October 13, 2012
Extended coding and pooling in the HMAX model
Christian Thériault, Nicolas Thome, Matthieu Cord
IEEE Transactions on Neural Networks and Learning Systems
|
November 25, 2014
Learning deep hierarchical visual feature coding
Hanlin Goh, Nicolas Thome, Matthieu Cord, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 4, 2025
Optimization of Rank Losses for Image Retrieval
Elias Ramzi, Nicolas Audebert, Clement Rambour, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 4, 2021
Confidence Estimation via Auxiliary Models
Charles Corbiere, Nicolas Thome, Antoine Saporta, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|
August 20, 2025
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
Nathan Painchaud, Jeremie Stym-Popper, Pierre-Yves Courand, et al.
Page
of 2