Nicola Pezzotti

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

Comput. Graph. Forum

IEEE Access

Delft University of Technology, Netherlands (PHD)

Education History

Delft University of Technology, Netherlands

PHD

Publications

Vidya Prasad, Ruud J. G. van Sloun, Anna Vilanova, Nicola Pezzotti
ProactiV: Studying Deep Learning Model Behavior Under Input Transformations. IEEE Trans. Vis. Comput. Graph. 30 (8) (2024)
Vidya Prasad, Ruud J. G. van Sloun, Stef van den Elzen, Anna Vilanova, Nicola Pezzotti
The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification. IEEE Trans. Vis. Comput. Graph. 30 (2) (2024)
Vidya Prasad, Hans Van Gorp, Christina Humer, Anna Vilanova, Nicola Pezzotti
The Tree of Diffusion Life: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models. CoRR (2024)
Linhao Meng, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova
Class-Constrained t-SNE: Combining Data Features and Class Probabilities. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Vidya Prasad, Zhu-Tian Chen, Anna Vilanova, Hanspeter Pfister, Nicola Pezzotti, Hendrik Strobelt
Unraveling the Temporal Dynamics of the Unet in Diffusion Models. CoRR (2023)
Kirsten W. H. Maas, Nicola Pezzotti, Amy J. E. Vermeer, Danny Ruijters, Anna Vilanova
NeRF for 3D Reconstruction from X-ray Angiography: Possibilities and Limitations. VCBM (2023)
Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov
Image Quality Assessment for Magnetic Resonance Imaging. IEEE Access 11 (2023)
Alessio Gallucci, Dmitry Znamenskiy, Yuxuan Long, Nicola Pezzotti, Milan Petkovic
Generating High-Resolution 3D Faces and Bodies Using VQ-VAE-2 with PixelSNAIL Networks on 2D Representations. Sensors 23 (3) (2023)
Linhao Meng, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova
Class-constrained t-SNE: Combining Data Features and Class Probabilities. CoRR (2023)
Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov
Image Quality Assessment for Magnetic Resonance Imaging. CoRR (2022)
Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic
Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL Networks. ICIAP Workshops (2022)
Nicola Pezzotti
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl. CoRR (2021)
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
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI (2021)
Alessio Gallucci, Nicola Pezzotti, Dmitry Znamenskiy, Milan Petkovic
A latent space exploration for microscopic skin lesion augmentations with VQ-VAE-2 and PixelSNAIL. Medical Imaging: Image Processing (2021)
Shi Hu, Nicola Pezzotti, Max Welling
Learning to Predict Error for MRI Reconstruction. MICCAI (3) (2021)
Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun
Active Deep Probabilistic Subsampling. ICML (2021)
Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic
Don't Tear Your Hair Out: Analysis of the Impact of Skin Hair on the Diagnosis of Microscopic Skin Lesions. ICPR Workshops (1) (2020)
Shi Hu, Nicola Pezzotti, Dimitrios Mavroeidis, Max Welling
Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition. CoRR (2020)
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
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge. CoRR (2020)
Nicola Pezzotti, Julian Thijssen, Alexander Mordvintsev, Thomas Höllt, Baldur van Lew, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
GPGPU Linear Complexity t-SNE Optimization. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
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
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction. IEEE Access 8 (2020)
Oleh Dzyubachyk, Kirsten Koolstra, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Andrew G. Webb, Peter Börnert
Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction. GLMI@MICCAI (2019)
Thomas Höllt, Anna Vilanova, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Helwig Hauser
Focus+Context Exploration of Hierarchical Embeddings. Comput. Graph. Forum 38 (3) (2019)
Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Na Li, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, Anna Vilanova
Cytosplore: Interactive Visual Single-Cell Profiling of the Immune System. Eurographics (Dirk Bartz Prize) (2019)
Nicola Pezzotti, Alexander Mordvintsev, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
Linear tSNE optimization for the Web. CoRR (2018)
Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Boudewijn P. F. Lelieveldt, Anna Vilanova
CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Nicola Pezzotti, Thomas Höllt, Jan C. van Gemert, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu
Progressive Data Science: Potential and Challenges. CoRR (2018)
Nicola Pezzotti, Jean-Daniel Fekete, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
Multiscale Visualization and Exploration of Large Bipartite Graphs. Comput. Graph. Forum 37 (3) (2018)
Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Laurens van der Maaten, Thomas Höllt, Elmar Eisemann, Anna Vilanova
Approximated and User Steerable tSNE for Progressive Visual Analytics. IEEE Trans. Vis. Comput. Graph. 23 (7) (2017)
Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, Anna Vilanova
Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets. Comput. Graph. Forum 35 (3) (2016)
Nicola Pezzotti, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
Hierarchical Stochastic Neighbor Embedding. Comput. Graph. Forum 35 (3) (2016)
Renata G. Raidou, Hugo J. Kuijf, Neda Sepasian, Nicola Pezzotti, Willem H. Bouvy, Marcel Breeuwer, Anna Vilanova
Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. MICCAI (2) (2016)
Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Laurens van der Maaten, Thomas Höllt, Elmar Eisemann, Anna Vilanova
Approximated and User Steerable tSNE for Progressive Visual Analytics. CoRR (2015)
Marco Centin, Nicola Pezzotti, Alberto Signoroni
Poisson-driven seamless completion of triangular meshes. Comput. Aided Geom. Des. (2015)
Francesco Bonarrigo, Nicola Pezzotti, Alberto Signoroni
On-the-fly automatic alignment and global registration of free-path collected 3D scans. Digital Heritage (1) (2013)
Nicola Pezzotti, Francesco Bonarrigo, Alberto Signoroni
Boosting the Computational Performance of Feature-Based Multiple 3D Scan Alignment by iat-k-means Clustering. 3DIMPVT (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicola Pezzotti