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Nicola Pezzotti

Showing results (1-10 of 21) with videos related to

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IEEE Transactions on Visualization and Computer Graphics|October 24, 2023
Class-Constrained t-SNE: Combining Data Features and Class ProbabilitiesLinhao Meng, Stef van den Elzen, Nicola Pezzotti, et al.
Sensors (Basel, Switzerland)|February 11, 2023
Generating High-Resolution 3D Faces and Bodies Using VQ-VAE-2 with PixelSNAIL Networks on 2D RepresentationsAlessio Gallucci, Dmitry Znamenskiy, Yuxuan Long, et al.
IEEE Transactions on Visualization and Computer Graphics|June 12, 2025
NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-viewsKirsten W H Maas, Danny Ruijters, Anna Vilanova, et al.
IEEE Transactions on Visualization and Computer Graphics|August 3, 2023
ProactiV: Studying Deep Learning Model Behavior Under Input TransformationsVidya Prasad, Ruud J G van Sloun, Anna Vilanova, et al.
IEEE Transactions on Visualization and Computer Graphics|November 3, 2022
The Transform-and-Perform Framework: Explainable Deep Learning Beyond ClassificationVidya Prasad, Ruud J G van Sloun, Stef van den Elzen, et al.
IEEE Transactions on Visualization and Computer Graphics|September 4, 2017
CyteGuide: Visual Guidance for Hierarchical Single-Cell AnalysisThomas Hollt, Nicola Pezzotti, Vincent van Unen, et al.
IEEE Transactions on Visualization and Computer Graphics|September 4, 2017
DeepEyes: Progressive Visual Analytics for Designing Deep Neural NetworksNicola Pezzotti, Thomas Hollt, Jan Van Gemert, et al.
Medical Physics|January 3, 2024
AI-based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction modelsLaurens Beljaards, Nicola Pezzotti, Chinmay Rao, et al.
IEEE Transactions on Visualization and Computer Graphics|January 24, 2017
Approximated and User Steerable tSNE for Progressive Visual AnalyticsNicola Pezzotti, Boudewijn P F Lelieveldt, Laurens Van Der Maaten, et al.
Medical Physics|December 31, 2025
Convolutional recurrent U-net for cardiac cine MRI reconstruction via effective spatio-temporal feature exploitationDonghang Lyu, Marius Staring, Matthias J P van Osch, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Visualization and Computer Graphics|October 24, 2023
Class-Constrained t-SNE: Combining Data Features and Class ProbabilitiesLinhao Meng, Stef van den Elzen, Nicola Pezzotti, et al.
Sensors (Basel, Switzerland)|February 11, 2023
Generating High-Resolution 3D Faces and Bodies Using VQ-VAE-2 with PixelSNAIL Networks on 2D RepresentationsAlessio Gallucci, Dmitry Znamenskiy, Yuxuan Long, et al.
IEEE Transactions on Visualization and Computer Graphics|June 12, 2025
NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-viewsKirsten W H Maas, Danny Ruijters, Anna Vilanova, et al.
IEEE Transactions on Visualization and Computer Graphics|August 3, 2023
ProactiV: Studying Deep Learning Model Behavior Under Input TransformationsVidya Prasad, Ruud J G van Sloun, Anna Vilanova, et al.
IEEE Transactions on Visualization and Computer Graphics|November 3, 2022
The Transform-and-Perform Framework: Explainable Deep Learning Beyond ClassificationVidya Prasad, Ruud J G van Sloun, Stef van den Elzen, et al.
IEEE Transactions on Visualization and Computer Graphics|September 4, 2017
CyteGuide: Visual Guidance for Hierarchical Single-Cell AnalysisThomas Hollt, Nicola Pezzotti, Vincent van Unen, et al.
IEEE Transactions on Visualization and Computer Graphics|September 4, 2017
DeepEyes: Progressive Visual Analytics for Designing Deep Neural NetworksNicola Pezzotti, Thomas Hollt, Jan Van Gemert, et al.
Medical Physics|January 3, 2024
AI-based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction modelsLaurens Beljaards, Nicola Pezzotti, Chinmay Rao, et al.
IEEE Transactions on Visualization and Computer Graphics|January 24, 2017
Approximated and User Steerable tSNE for Progressive Visual AnalyticsNicola Pezzotti, Boudewijn P F Lelieveldt, Laurens Van Der Maaten, et al.
Medical Physics|December 31, 2025
Convolutional recurrent U-net for cardiac cine MRI reconstruction via effective spatio-temporal feature exploitationDonghang Lyu, Marius Staring, Matthias J P van Osch, et al.
Pageof 3