Nicola Pezzotti

48 papers A* 1B 1Journal 33Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NeRVis: Neural Radiance Field Model-Uncertainty Visualization. Comput. Graph. Kirsten W. H. Maas, Thiam-Wai Chua, Danny Ruijters, Nicola Pezzotti, Anna Vilanova
2025	J	`jnl`	KP-INR: A Dual-Branch Implicit Neural Representation Model for Cardiac Cine MRI Reconstruction. CoRR Donghang Lyu, Marius Staring, Mariya Doneva, Hildo J. Lamb, Nicola Pezzotti
2025	J	`jnl`	NeRF-CA: Dynamic Reconstruction of X-Ray Coronary Angiography With Extremely Sparse-Views. IEEE Trans. Vis. Comput. Graph. Kirsten W. H. Maas, Danny Ruijters, Anna Vilanova, Nicola Pezzotti
2025	—	`conf`	NerT-CA: Efficient Dynamic Reconstruction from Sparse-View X-ray Coronary Angiography. GRAIL/RIME@MICCAI Kirsten W. H. Maas, Danny Ruijters, Nicola Pezzotti, Anna Vilanova
2025	J	`jnl`	NerT-CA: Efficient Dynamic Reconstruction from Sparse-view X-ray Coronary Angiography. CoRR Kirsten W. H. Maas, Danny Ruijters, Nicola Pezzotti, Anna Vilanova
2025	J	`jnl`	UPCMR: A Universal Prompt-guided Model for Random Sampling Cardiac MRI Reconstruction. CoRR Donghang Lyu, Chinmay Rao, Marius Staring, Matthias J. P. van Osch, Mariya Doneva, Hildo J. Lamb, Nicola Pezzotti
2024	J	`jnl`	A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling. CoRR Chinmay Rao, Matthias van Osch, Nicola Pezzotti, Jeroen de Bresser, Laurens Beljaards, Jakob Meineke, Elwin de Weerdt, Huangling Lu, Mariya Doneva, Marius Staring
2024	J	`jnl`	Class-Constrained t-SNE: Combining Data Features and Class Probabilities. IEEE Trans. Vis. Comput. Graph. Linhao Meng, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova
2024	J	`jnl`	NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views. CoRR Kirsten W. H. Maas, Danny Ruijters, Anna Vilanova, Nicola Pezzotti
2024	J	`jnl`	ProactiV: Studying Deep Learning Model Behavior Under Input Transformations. IEEE Trans. Vis. Comput. Graph. Vidya Prasad, Ruud J. G. van Sloun, Anna Vilanova, Nicola Pezzotti
2024	J	`jnl`	Progressive Monitoring of Generative Model Training Evolution. CoRR Vidya Prasad, Anna Vilanova, Nicola Pezzotti
2024	J	`jnl`	The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification. IEEE Trans. Vis. Comput. Graph. Vidya Prasad, Ruud J. G. van Sloun, Stef van den Elzen, Anna Vilanova, Nicola Pezzotti
2024	J	`jnl`	The Tree of Diffusion Life: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models. CoRR Vidya Prasad, Hans Van Gorp, Christina Humer, Anna Vilanova, Nicola Pezzotti
2024	—	`conf`	UPCMR: A Universal Prompt-Guided Model for Random Sampling Cardiac MRI Reconstruction. CMRxRecon/MBAS/STACOM@MICCAI Donghang Lyu, Chinmay Rao, Marius Staring, Matthias J. P. van Osch, Mariya Doneva, Hildo J. Lamb, Nicola Pezzotti
2023	J	`jnl`	Class-constrained t-SNE: Combining Data Features and Class Probabilities. CoRR Linhao Meng, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova
2023	J	`jnl`	Generating High-Resolution 3D Faces and Bodies Using VQ-VAE-2 with PixelSNAIL Networks on 2D Representations. Sensors Alessio Gallucci, Dmitry Znamenskiy, Yuxuan Long, Nicola Pezzotti, Milan Petkovic
2023	J	`jnl`	Image Quality Assessment for Magnetic Resonance Imaging. IEEE Access Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov
2023	—	`conf`	NeRF for 3D Reconstruction from X-ray Angiography: Possibilities and Limitations. VCBM Kirsten W. H. Maas, Nicola Pezzotti, Amy J. E. Vermeer, Danny Ruijters, Anna Vilanova
2023	J	`jnl`	Unraveling the Temporal Dynamics of the Unet in Diffusion Models. CoRR Vidya Prasad, Chen Zhu-Tian, Anna Vilanova, Hanspeter Pfister, Nicola Pezzotti, Hendrik Strobelt
2022	—	`conf`	Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL Networks. ICIAP Workshops Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic
2022	J	`jnl`	Image Quality Assessment for Magnetic Resonance Imaging. CoRR Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov
2021	B	`conf`	A latent space exploration for microscopic skin lesion augmentations with VQ-VAE-2 and PixelSNAIL. Image Processing Alessio Gallucci, Nicola Pezzotti, Dmitry Znamenskiy, Milan Petkovic
2021	A*	`conf`	Active Deep Probabilistic Subsampling. ICML Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun
2021	—	`conf`	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 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
2021	—	`conf`	Learning to Predict Error for MRI Reconstruction. MICCAI (3) Shi Hu, Nicola Pezzotti, Max Welling
2021	J	`jnl`	MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl. CoRR Nicola Pezzotti
2020	J	`jnl`	An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction. IEEE Access 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
2020	J	`jnl`	An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge. CoRR 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
2020	—	`conf`	Don't Tear Your Hair Out: Analysis of the Impact of Skin Hair on the Diagnosis of Microscopic Skin Lesions. ICPR Workshops (1) Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic
2020	J	`jnl`	GPGPU Linear Complexity t-SNE Optimization. IEEE Trans. Vis. Comput. Graph. Nicola Pezzotti, Julian Thijssen, Alexander Mordvintsev, Thomas Höllt, Baldur van Lew, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
2020	J	`jnl`	Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition. CoRR Shi Hu, Nicola Pezzotti, Dimitrios Mavroeidis, Max Welling
2019	—	`conf`	Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction. GLMI@MICCAI Oleh Dzyubachyk, Kirsten Koolstra, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Andrew G. Webb, Peter Börnert
2019	—	`conf`	Cytosplore: Interactive Visual Single-Cell Profiling of the Immune System. Eurographics (Dirk Bartz Prize) Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Na Li, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, Anna Vilanova
2019	—	`—`	Dimensionality-Reduction Algorithms for Progressive Visual Analytics. Nicola Pezzotti
2019	J	`jnl`	Focus+Context Exploration of Hierarchical Embeddings. Comput. Graph. Forum Thomas Höllt, Anna Vilanova, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Helwig Hauser
2018	J	`jnl`	CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis. IEEE Trans. Vis. Comput. Graph. Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Boudewijn P. F. Lelieveldt, Anna Vilanova
2018	J	`jnl`	DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. Nicola Pezzotti, Thomas Höllt, Jan C. van Gemert, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
2018	J	`jnl`	Linear tSNE optimization for the Web. CoRR Nicola Pezzotti, Alexander Mordvintsev, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
2018	J	`jnl`	Multiscale Visualization and Exploration of Large Bipartite Graphs. Comput. Graph. Forum Nicola Pezzotti, Jean-Daniel Fekete, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
2018	J	`jnl`	Progressive Data Science: Potential and Challenges. CoRR Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu
2017	J	`jnl`	Approximated and User Steerable tSNE for Progressive Visual Analytics. IEEE Trans. Vis. Comput. Graph. Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Laurens van der Maaten, Thomas Höllt, Elmar Eisemann, Anna Vilanova
2016	J	`jnl`	Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets. Comput. Graph. Forum Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Elmar Eisemann, Boudewijn P. F. Lelieveldt, Anna Vilanova
2016	—	`conf`	Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. MICCAI (2) Renata G. Raidou, Hugo J. Kuijf, Neda Sepasian, Nicola Pezzotti, Willem H. Bouvy, Marcel Breeuwer, Anna Vilanova
2016	J	`jnl`	Hierarchical Stochastic Neighbor Embedding. Comput. Graph. Forum Nicola Pezzotti, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova
2015	J	`jnl`	Approximated and User Steerable tSNE for Progressive Visual Analytics. CoRR Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Laurens van der Maaten, Thomas Höllt, Elmar Eisemann, Anna Vilanova
2015	J	`jnl`	Poisson-driven seamless completion of triangular meshes. Comput. Aided Geom. Des. Marco Centin, Nicola Pezzotti, Alberto Signoroni
2013	—	`conf`	On-the-fly automatic alignment and global registration of free-path collected 3D scans. Digital Heritage (1) Francesco Bonarrigo, Nicola Pezzotti, Alberto Signoroni
2012	—	`conf`	Boosting the Computational Performance of Feature-Based Multiple 3D Scan Alignment by iat-k-means Clustering. 3DIMPVT Nicola Pezzotti, Francesco Bonarrigo, Alberto Signoroni