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ORCIDNicola Pezzotti
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2020 – today
- 2024
[j15]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): 164-174 (2024)- [j14]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): 1502-1515 (2024) - [j13]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): 5651-5665 (2024) - [i12]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 abs/2406.17462 (2024) - [i11]Kirsten W. H. Maas, Danny Ruijters, Anna Vilanova, Nicola Pezzotti:
NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views. CoRR abs/2408.16355 (2024) - [i10]Chinmay Rao, Matthias van Osch, Nicola Pezzotti, Jeroen de Bresser, Laurens Beljaards, Jakob Meineke, Elwin de Weerdt, Huangling Lu, Mariya Doneva, Marius Staring:
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling. CoRR abs/2409.13477 (2024) - 2023
- [j12]Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov:
Image Quality Assessment for Magnetic Resonance Imaging. IEEE Access 11: 14154-14168 (2023) - [j11]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): 1168 (2023) - [c12]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: 29-40 - [i9]Linhao Meng, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova:
Class-constrained t-SNE: Combining Data Features and Class Probabilities. CoRR abs/2308.13837 (2023) - [i8]Vidya Prasad, Zhu-Tian Chen, Anna Vilanova, Hanspeter Pfister, Nicola Pezzotti, Hendrik Strobelt:
Unraveling the Temporal Dynamics of the Unet in Diffusion Models. CoRR abs/2312.14965 (2023) - 2022
- [c11]Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic:
Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL Networks. ICIAP Workshops 2022: 228-239 - [i7]Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov:
Image Quality Assessment for Magnetic Resonance Imaging. CoRR abs/2203.07809 (2022) - 2021
- [c10]Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun:
Active Deep Probabilistic Subsampling. ICML 2021: 10509-10518 - [c9]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: 25-34 - [c8]Shi Hu, Nicola Pezzotti, Max Welling:
Learning to Predict Error for MRI Reconstruction. MICCAI (3) 2021: 604-613 - [c7]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 - [i6]Nicola Pezzotti:
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl. CoRR abs/2108.09478 (2021) - 2020
- [j10]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: 204825-204838 (2020) - [j9]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): 1172-1181 (2020) - [c6]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: 406-416 - [i5]Shi Hu, Nicola Pezzotti, Dimitrios Mavroeidis, Max Welling:
Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition. CoRR abs/2002.05582 (2020) - [i4]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 abs/2004.07339 (2020)
2010 – 2019
- 2019
- [b1]Nicola Pezzotti:
Dimensionality-Reduction Algorithms for Progressive Visual Analytics. Delft University of Technology, Netherlands, 2019 - [j8]Thomas Höllt, Anna Vilanova, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Helwig Hauser:
Focus+Context Exploration of Hierarchical Embeddings. Comput. Graph. Forum 38(3): 569-579 (2019) - [c5]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: 1-4 - [c4]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: 44-52 - 2018
- [j7]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): 549-560 (2018) - [j6]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): 98-108 (2018) - [j5]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): 739-748 (2018) - [i3]Nicola Pezzotti, Alexander Mordvintsev, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
Linear tSNE optimization for the Web. CoRR abs/1805.10817 (2018) - [i2]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 abs/1812.08032 (2018) - 2017
- [j4]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): 1739-1752 (2017) - 2016
- [j3]Nicola Pezzotti, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
Hierarchical Stochastic Neighbor Embedding. Comput. Graph. Forum 35(3): 21-30 (2016) - [j2]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): 171-180 (2016) - [c3]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: 97-105 - 2015
- [j1]Marco Centin, Nicola Pezzotti, Alberto Signoroni:
Poisson-driven seamless completion of triangular meshes. Comput. Aided Geom. Des. 35-36: 42-55 (2015) - [i1]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 abs/1512.01655 (2015) - 2013
- [c2]Francesco Bonarrigo, Nicola Pezzotti, Alberto Signoroni:
On-the-fly automatic alignment and global registration of free-path collected 3D scans. Digital Heritage (1) 2013: 181-184 - 2012
- [c1]Nicola Pezzotti, Francesco Bonarrigo, Alberto Signoroni:
Boosting the Computational Performance of Feature-Based Multiple 3D Scan Alignment by iat-k-means Clustering. 3DIMPVT 2012: 89-96
Coauthor Index
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