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Journal Articles
- 2024
[j1]Ecem Sogancioglu
, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy:
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. IEEE Trans. Medical Imaging 43(8): 2839-2853 (2024)
Conference and Workshop Papers
- 2024
- [c3]Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves:
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CVPR 2024: 22616-22625 - 2023
- [c2]Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke:
Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. MICCAI (10) 2023: 481-490 - 2022
- [c1]Andrea Dittadi, Samuele S. Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, Francesco Locatello:
Generalization and Robustness Implications in Object-Centric Learning. ICML 2022: 5221-5285
Informal and Other Publications
- 2024
- [i9]Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy:
Nodule detection and generation on chest X-rays: NODE21 Challenge. CoRR abs/2401.02192 (2024) - [i8]David R. Wessels, David M. Knigge, Samuele Papa, Riccardo Valperga, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers:
Grounding Continuous Representations in Geometry: Equivariant Neural Fields. CoRR abs/2406.05753 (2024) - [i7]David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers:
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. CoRR abs/2406.06660 (2024) - [i6]Amir Mohammad Karimi-Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi:
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models. CoRR abs/2407.15589 (2024) - 2023
- [i5]Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke:
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation. CoRR abs/2306.08947 (2023) - [i4]Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves:
Neural Modulation Fields for Conditional Cone Beam Neural Tomography. CoRR abs/2307.08351 (2023) - [i3]Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves:
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR abs/2312.10531 (2023) - 2022
- [i2]Samuele Papa, Ole Winther, Andrea Dittadi:
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures. CoRR abs/2204.08479 (2022) - 2021
- [i1]Andrea Dittadi, Samuele Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, Francesco Locatello:
Generalization and Robustness Implications in Object-Centric Learning. CoRR abs/2107.00637 (2021)
Coauthor Index
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