Polynomial filter design for quantized consensus. - Dorina Thanou; Hyunggon Park; Effrosini Kokiopoulou; Pascal Fwssarr (EUSIPCO, 2010)

Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters. - Eleni Fotopoulou; Dorina Thanou; Thanos Stouraitis (ISCAS, 2010)

Compressed classification of observation sets with linear subspace embeddings. - Dorina Thanou; Pascal Frossard (ICASSP, 2011)

Progressive quantization in distributed average consensus. - Dorina Thanou; Effrosini Kokiopoulou; Pascal Frossard (ICASSP, 2012)

Parametric dictionary learning for graph signals. - Dorina Thanou; David I. Shuman; Pascal Frossard (GlobalSIP, 2013)

Distributed Average Consensus With Quantization Refinement. - Dorina Thanou; Effrosini Kokiopoulou; Ye Pu; Pascal Frossard (IEEE Trans. Signal Process., 2013)

Learning Graphs from Signal Observations under Smoothness Prior. - Xiaowen Dong 001; Dorina Thanou; Pascal Frossard; Pierre Vandergheynst (CoRR, 2014)

Learning parametric dictionaries for graph signals. - Dorina Thanou; David I. Shuman; Pascal Frossard (CoRR, 2014)

Learning Parametric Dictionaries for Signals on Graphs. - Dorina Thanou; David I. Shuman; Pascal Frossard (IEEE Trans. Signal Process., 2014)

Distributed signal processing with graph spectral dictionaries. - Dorina Thanou; Pascal Frossard (Allerton, 2015)

Laplacian matrix learning for smooth graph signal representation. - Xiaowen Dong 001; Dorina Thanou; Pascal Frossard; Pierre Vandergheynst (ICASSP, 2015)

Multi-graph learning of spectral graph dictionaries. - Dorina Thanou; Pascal Frossard (ICASSP, 2015)

Graph-based motion estimation and compensation for dynamic 3D point cloud compression. - Dorina Thanou; Philip A. Chou; Pascal Frossard (ICIP, 2015)

Graph transform learning for image compression. - Giulia Fracastoro; Dorina Thanou; Pascal Frossard (PCS, 2016)

Graph-Based Compression of Dynamic 3D Point Cloud Sequences. - Dorina Thanou; Philip A. Chou; Pascal Frossard (IEEE Trans. Image Process., 2016)

Learning Laplacian Matrix in Smooth Graph Signal Representations. - Xiaowen Dong 001; Dorina Thanou; Pascal Frossard; Pierre Vandergheynst (IEEE Trans. Signal Process., 2016)

Learning sparse models of diffusive graph signals. - Shuyu Dong; Dorina Thanou; Pierre-Antoine Absil; Pascal Frossard (ESANN, 2017)

Learning time varying graphs. - Vassilis Kalofolias; Andreas Loukas; Dorina Thanou; Pascal Frossard (ICASSP, 2017)

Graph learning under sparsity priors. - Hermina Petric Maretic; Dorina Thanou; Pascal Frossard (ICASSP, 2017)

Graph-based Transform Coding with Application to Image Compression. - Giulia Fracastoro; Dorina Thanou; Pascal Frossard (CoRR, 2017)

Learning Heat Diffusion Graphs. - Dorina Thanou; Xiaowen Dong 001; Daniel Kressner; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Learning of robust spectral graph dictionaries for distributed processing. - Dorina Thanou; Pascal Frossard (EURASIP J. Adv. Signal Process., 2018)

Learning Graphs From Data: A Signal Representation Perspective. - Xiaowen Dong 001; Dorina Thanou; Michael G. Rabbat; Pascal Frossard (IEEE Signal Process. Mag., 2019)

A Graph Signal Processing Framework for the Classification of Temporal Brain Data. - Sarah Itani; Dorina Thanou (EUSIPCO, 2020)

Height and Weight Estimation from Unconstrained Images. - Can Yilmaz Altinigne; Dorina Thanou; Radhakrishna Achanta (ICASSP, 2020)

On The Stability of Polynomial Spectral Graph Filters. - Henry Kenlay; Dorina Thanou; Xiaowen Dong 001 (ICASSP, 2020)

Graph Signal Processing for Machine Learning: A Review and New Perspectives. - Xiaowen Dong 001; Dorina Thanou; Laura Toni; Michael M. Bronstein; Pascal Frossard (IEEE Signal Process. Mag., 2020)

Graph Transform Optimization With Application to Image Compression. - Giulia Fracastoro; Dorina Thanou; Pascal Frossard (IEEE Trans. Image Process., 2020)

Mask Combination of Multi-Layer Graphs for Global Structure Inference. - Eda Bayram; Dorina Thanou; Elif Vural; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2020)

On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring. - Henry Kenlay; Dorina Thanou; Xiaowen Dong 001 (ICASSP, 2021)

Interpretable Stability Bounds for Spectral Graph Filters. - Henry Kenlay; Dorina Thanou; Xiaowen Dong 001 (ICML, 2021)

Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder. - Sarah Itani; Dorina Thanou (Medical Image Anal., 2021)

node2coords: Graph Representation Learning with Wasserstein Barycenters. - Effrosyni Simou; Dorina Thanou; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness. - Jhony H. Giraldo; Arif Mahmood; Belmar García García; Dorina Thanou; Thierry Bouwmans (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion. - Manuel Madeira; Dorina Thanou; Pascal Frossard (GRAIL/OCELOT@MICCAI, 2023)

Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain. - Sara Mohammadi; Massoud Babaie-Zadeh; Dorina Thanou (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography. - Xiaowu Sun; Theofilos Belmpas; Ortal Yona Senouf; Emmanuel Abbe; Pascal Frossard; Bernard De Bruyne; Olivier Muller; Stéphane Fournier; Thabo Mahendiran; Dorina Thanou (ISBI, 2024)

Generative Modelling of Structurally Constrained Graphs. - Manuel Madeira; Clément Vignac; Dorina Thanou; Pascal Frossard (NeurIPS, 2024)

DeFoG: Discrete Flow Matching for Graph Generation. - Yiming Qin; Manuel Madeira; Dorina Thanou; Pascal Frossard (CoRR, 2024)

COSMOS: Continuous Simplicial Neural Networks. - Aref Einizade; Dorina Thanou; Fragkiskos D. Malliaros; Jhony H. Giraldo (CoRR, 2025)

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. - Boqi Chen; Cédric Vincent-Cuaz; Lydia A. Schoenpflug; Manuel Madeira; Lisa Fournier; Vaishnavi Subramanian; Sonali Andani; Samuel Ruipérez-Campillo; Julia E. Vogt; Raphaëlle Luisier; Dorina Thanou; Viktor H. Koelzer; et al. (CoRR, 2025)

Generating Directed Graphs with Dual Attention and Asymmetric Encoding. - Alba Carballo-Castro; Manuel Madeira; Yiming Qin; Dorina Thanou; Pascal Frossard (CoRR, 2025)

CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography. - Camille Challier; Xiaowu Sun; Thabo Mahendiran; Ortal Yona Senouf; Bernard De Bruyne; Denise Auberson; Olivier Muller; Stéphane Fournier; Pascal Frossard; Emmanuel Abbe; Dorina Thanou (CoRR, 2025)