Nicola Pezzotti

According to our database, Nicola Pezzotti authored at least 32 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification.

Vidya Prasad, Ruud J. G. van Sloun, Stef van den Elzen, Anna Vilanova, Nicola Pezzotti

IEEE Trans. Vis. Comput. Graph., February, 2024

Class-Constrained t-SNE: Combining Data Features and Class Probabilities.

Linhao Meng, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova

IEEE Trans. Vis. Comput. Graph., January, 2024

2023

Generating High-Resolution 3D Faces and Bodies Using VQ-VAE-2 with PixelSNAIL Networks on 2D Representations.

Alessio Gallucci, Dmitry Znamenskiy, Yuxuan Long, Nicola Pezzotti, Milan Petkovic

Sensors, February, 2023

Unraveling the Temporal Dynamics of the Unet in Diffusion Models.

Vidya Prasad, Zhu-Tian Chen, Anna Vilanova, Hanspeter Pfister, Nicola Pezzotti, Hendrik Strobelt

CoRR, 2023

Image Quality Assessment for Magnetic Resonance Imaging.

Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov

IEEE Access, 2023

2022

Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL Networks.

Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021

MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl.

Nicola Pezzotti

CoRR, 2021

A latent space exploration for microscopic skin lesion augmentations with VQ-VAE-2 and PixelSNAIL.

Alessio Gallucci, Nicola Pezzotti, Dmitry Znamenskiy, Milan Petkovic

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.

Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Learning to Predict Error for MRI Reconstruction.

Shi Hu, Nicola Pezzotti, Max Welling

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Active Deep Probabilistic Subsampling.

Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

GPGPU Linear Complexity t-SNE Optimization.

Nicola Pezzotti, Julian Thijssen, Alexander Mordvintsev, Thomas Höllt, Baldur van Lew, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova

IEEE Trans. Vis. Comput. Graph., 2020

An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge.

Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Fransiscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Elwin de Weerdt, Marius Staring

CoRR, 2020

Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition.

Shi Hu, Nicola Pezzotti, Dimitrios Mavroeidis, Max Welling

CoRR, 2020

An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction.

Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Fransiscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Elwin de Weerdt, Marius Staring

IEEE Access, 2020

Don't Tear Your Hair Out: Analysis of the Impact of Skin Hair on the Diagnosis of Microscopic Skin Lesions.

Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Dimensionality-Reduction Algorithms for Progressive Visual Analytics.

Nicola Pezzotti

PhD thesis, 2019

Focus+Context Exploration of Hierarchical Embeddings.

Thomas Höllt, Anna Vilanova, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Helwig Hauser

Comput. Graph. Forum, 2019

Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction.

Oleh Dzyubachyk, Kirsten Koolstra, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Andrew G. Webb, Peter Börnert

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Cytosplore: Interactive Visual Single-Cell Profiling of the Immune System.

Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Na Li, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, Anna Vilanova

Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

2018

DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks.

Nicola Pezzotti, Thomas Höllt, Jan C. van Gemert, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova

IEEE Trans. Vis. Comput. Graph., 2018

CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis.

Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Boudewijn P. F. Lelieveldt, Anna Vilanova

IEEE Trans. Vis. Comput. Graph., 2018

Progressive Data Science: Potential and Challenges.

Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu

CoRR, 2018

Linear tSNE optimization for the Web.

Nicola Pezzotti, Alexander Mordvintsev, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova

CoRR, 2018

Multiscale Visualization and Exploration of Large Bipartite Graphs.

Nicola Pezzotti, Jean-Daniel Fekete, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova

Comput. Graph. Forum, 2018

2017

Approximated and User Steerable tSNE for Progressive Visual Analytics.

Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Laurens van der Maaten, Thomas Höllt, Elmar Eisemann, Anna Vilanova

IEEE Trans. Vis. Comput. Graph., 2017

2016

Hierarchical Stochastic Neighbor Embedding.

Nicola Pezzotti, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova

Comput. Graph. Forum, 2016

Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets.

Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, Anna Vilanova

Comput. Graph. Forum, 2016

Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.

Renata G. Raidou, Hugo J. Kuijf, Neda Sepasian, Nicola Pezzotti, Willem H. Bouvy, Marcel Breeuwer, Anna Vilanova

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Poisson-driven seamless completion of triangular meshes.

Marco Centin, Nicola Pezzotti, Alberto Signoroni

Comput. Aided Geom. Des., 2015

2013

On-the-fly automatic alignment and global registration of free-path collected 3D scans.

Francesco Bonarrigo, Nicola Pezzotti, Alberto Signoroni

Proceedings of the 1st Digital Heritage International Congress, 2013

2012

Boosting the Computational Performance of Feature-Based Multiple 3D Scan Alignment by iat-k-means Clustering.

Nicola Pezzotti, Francesco Bonarrigo, Alberto Signoroni

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012