Dorina Thanou - RankMe

63 papers A* 4B 2C 2Misc 9Journal 39Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causality-Driven Disentangled Representation Learning in Multiplex Graphs. CoRR Saba Nasiri, Selin Aviyente, Dorina Thanou
2026	J	`jnl`	GrapHist: Graph Self-Supervised Learning for Histopathology. CoRR Sevda Ögüt, Cédric Vincent-Cuaz, Natalia Dubljevic, Carlos Hurtado, Vaishnavi Subramanian, Pascal Frossard, Dorina Thanou
2026	J	`jnl`	ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images. CoRR Anand Choudhary, Xiaowu Sun, Thabo Mahendiran, Ortal Yona Senouf, Denise Auberson, Bernard De Bruyne, Stéphane Fournier, Olivier Muller, Emmanuel Abbe, Pascal Frossard, Dorina Thanou
2025	J	`jnl`	CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography. CoRR Camille Challier, Xiaowu Sun, Thabo Mahendiran, Ortal Yona Senouf, Bernard De Bruyne, Denise Auberson, Olivier Muller, Stéphane Fournier, Pascal Frossard, Emmanuel Abbe, Dorina Thanou
2025	J	`jnl`	COSMOS: Continuous Simplicial Neural Networks. CoRR Aref Einizade, Dorina Thanou, Fragkiskos D. Malliaros, Jhony H. Giraldo
2025	A*	`conf`	DeFoG: Discrete Flow Matching for Graph Generation. ICML Yiming Qin, Manuel Madeira, Dorina Thanou, Pascal Frossard
2025	J	`jnl`	Generating Directed Graphs with Dual Attention and Asymmetric Encoding. CoRR Alba Carballo-Castro, Manuel Madeira, Yiming Qin, Dorina Thanou, Pascal Frossard
2025	A*	`conf`	On the Role of Structure in Hierarchical Graph Neural Networks. ICLR Luca Sbicego, Sevda Ögüt, Manuel Madeira, Yiming Qin, Dorina Thanou, Pascal Frossard
2025	J	`jnl`	Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins. CoRR Xiaowu Sun, Thabo Mahendiran, Ortal Yona Senouf, Denise Auberson, Bernard De Bruyne, Stéphane Fournier, Olivier Muller, Pascal Frossard, Emmanuel Abbe, Dorina Thanou
2025	—	`conf`	Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. MICCAI (6) 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, Pascal Frossard, Gabriele Campanella, Gunnar Rätsch
2025	J	`jnl`	Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. CoRR 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, Pascal Frossard, Gabriele Campanella, Gunnar Rätsch
2024	J	`jnl`	DeFoG: Discrete Flow Matching for Graph Generation. CoRR Yiming Qin, Manuel Madeira, Dorina Thanou, Pascal Frossard
2024	A*	`conf`	Generative Modelling of Structurally Constrained Graphs. NeurIPS Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard
2024	J	`jnl`	Generative Modelling of Structurally Constrained Graphs. CoRR Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard
2024	—	`conf`	Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography. ISBI Xiaowu Sun, Theofilos Belmpas, Ortal Yona Senouf, Emmanuel Abbe, Pascal Frossard, Bernard De Bruyne, Olivier Muller, Stéphane Fournier, Thabo Mahendiran, Dorina Thanou
2023	J	`jnl`	Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain. IEEE Trans. Signal Inf. Process. over Networks Sara Mohammadi, Massoud Babaie-Zadeh, Dorina Thanou
2023	—	`conf`	Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion. GRAIL/OCELOT@MICCAI Manuel Madeira, Dorina Thanou, Pascal Frossard
2023	J	`jnl`	Tertiary Lymphoid Structures Generation through Graph-based Diffusion. CoRR Manuel Madeira, Dorina Thanou, Pascal Frossard
2022	J	`jnl`	Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness. IEEE Trans. Signal Inf. Process. over Networks Jhony H. Giraldo, Arif Mahmood, Belmar García García, Dorina Thanou, Thierry Bouwmans
2021	J	`jnl`	Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder. Medical Image Anal. Sarah Itani, Dorina Thanou
2021	A*	`conf`	Interpretable Stability Bounds for Spectral Graph Filters. ICML Henry Kenlay, Dorina Thanou, Xiaowen Dong
2021	J	`jnl`	Interpretable Stability Bounds for Spectral Graph Filters. CoRR Henry Kenlay, Dorina Thanou, Xiaowen Dong
2021	Misc	`conf`	On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring. ICASSP Henry Kenlay, Dorina Thanou, Xiaowen Dong
2021	J	`jnl`	node2coords: Graph Representation Learning with Wasserstein Barycenters. IEEE Trans. Signal Inf. Process. over Networks Effrosyni Simou, Dorina Thanou, Pascal Frossard
2020	—	`conf`	A Graph Signal Processing Framework for the Classification of Temporal Brain Data. EUSIPCO Sarah Itani, Dorina Thanou
2020	J	`jnl`	Graph Signal Processing for Machine Learning: A Review and New Perspectives. IEEE Signal Process. Mag. Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard
2020	J	`jnl`	Graph Transform Optimization With Application to Image Compression. IEEE Trans. Image Process. Giulia Fracastoro, Dorina Thanou, Pascal Frossard
2020	J	`jnl`	Graph signal processing for machine learning: A review and new perspectives. CoRR Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard
2020	Misc	`conf`	Height and Weight Estimation from Unconstrained Images. ICASSP Can Yilmaz Altinigne, Dorina Thanou, Radhakrishna Achanta
2020	J	`jnl`	Mask Combination of Multi-Layer Graphs for Global Structure Inference. IEEE Trans. Signal Inf. Process. over Networks Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard
2020	Misc	`conf`	On The Stability of Polynomial Spectral Graph Filters. ICASSP Henry Kenlay, Dorina Thanou, Xiaowen Dong
2020	J	`jnl`	On the Stability of Graph Convolutional Neural Networks under Edge Rewiring. CoRR Henry Kenlay, Dorina Thanou, Xiaowen Dong
2020	J	`jnl`	node2coords: Graph Representation Learning with Wasserstein Barycenters. CoRR Effrosyni Simou, Dorina Thanou, Pascal Frossard
2019	J	`jnl`	Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder. CoRR Sarah Itani, Dorina Thanou
2019	J	`jnl`	Learning Graphs From Data: A Signal Representation Perspective. IEEE Signal Process. Mag. Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard
2019	J	`jnl`	Mask Combination of Multi-layer Graphs for Global Structure Inference. CoRR Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard
2018	J	`jnl`	Learning Graphs from Data: A Signal Representation Perspective. CoRR Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard
2018	J	`jnl`	Learning of robust spectral graph dictionaries for distributed processing. EURASIP J. Adv. Signal Process. Dorina Thanou, Pascal Frossard
2017	Misc	`conf`	Graph learning under sparsity priors. ICASSP Hermina Petric Maretic, Dorina Thanou, Pascal Frossard
2017	J	`jnl`	Graph learning under sparsity priors. CoRR Hermina Petric Maretic, Dorina Thanou, Pascal Frossard
2017	J	`jnl`	Graph-based Transform Coding with Application to Image Compression. CoRR Giulia Fracastoro, Dorina Thanou, Pascal Frossard
2017	J	`jnl`	Learning Heat Diffusion Graphs. IEEE Trans. Signal Inf. Process. over Networks Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard
2017	B	`conf`	Learning sparse models of diffusive graph signals. ESANN Shuyu Dong, Dorina Thanou, Pierre-Antoine Absil, Pascal Frossard
2017	Misc	`conf`	Learning time varying graphs. ICASSP Vassilis Kalofolias, Andreas Loukas, Dorina Thanou, Pascal Frossard
2016	C	`conf`	Graph transform learning for image compression. PCS Giulia Fracastoro, Dorina Thanou, Pascal Frossard
2016	J	`jnl`	Graph-Based Compression of Dynamic 3D Point Cloud Sequences. IEEE Trans. Image Process. Dorina Thanou, Philip A. Chou, Pascal Frossard
2016	J	`jnl`	Learning Laplacian Matrix in Smooth Graph Signal Representations. IEEE Trans. Signal Process. Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
2016	J	`jnl`	Learning heat diffusion graphs. CoRR Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard
2015	—	`conf`	Distributed signal processing with graph spectral dictionaries. Allerton Dorina Thanou, Pascal Frossard
2015	J	`jnl`	Graph-based compression of dynamic 3D point cloud sequences. CoRR Dorina Thanou, Philip A. Chou, Pascal Frossard
2015	B	`conf`	Graph-based motion estimation and compensation for dynamic 3D point cloud compression. ICIP Dorina Thanou, Philip A. Chou, Pascal Frossard
2015	Misc	`conf`	Laplacian matrix learning for smooth graph signal representation. ICASSP Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
2015	Misc	`conf`	Multi-graph learning of spectral graph dictionaries. ICASSP Dorina Thanou, Pascal Frossard
2014	J	`jnl`	Learning Graphs from Signal Observations under Smoothness Prior. CoRR Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
2014	J	`jnl`	Learning Parametric Dictionaries for Signals on Graphs. IEEE Trans. Signal Process. Dorina Thanou, David I. Shuman, Pascal Frossard
2014	J	`jnl`	Learning parametric dictionaries for graph signals. CoRR Dorina Thanou, David I. Shuman, Pascal Frossard
2013	J	`jnl`	Distributed Average Consensus With Quantization Refinement. IEEE Trans. Signal Process. Dorina Thanou, Effrosini Kokiopoulou, Ye Pu, Pascal Frossard
2013	—	`conf`	Parametric dictionary learning for graph signals. GlobalSIP Dorina Thanou, David I. Shuman, Pascal Frossard
2012	Misc	`conf`	Progressive quantization in distributed average consensus. ICASSP Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard
2011	Misc	`conf`	Compressed classification of observation sets with linear subspace embeddings. ICASSP Dorina Thanou, Pascal Frossard
2011	J	`jnl`	Progressive quantization in distributed average consensus CoRR Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard
2010	C	`conf`	Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters. ISCAS Eleni Fotopoulou, Dorina Thanou, Thanos Stouraitis
2010	—	`conf`	Polynomial filter design for quantized consensus. EUSIPCO Dorina Thanou, Hyunggon Park, Effrosini Kokiopoulou, Pascal Fwssarr