Multi-scale modeling of human tissues from spatial transcriptomics with TERRA

S. Birk; M. V. Sanian; A. Vahidi; S. Ogden; D. J. Jafree et al. 

Prognostic RNA-splicing archetypes in breast cancer identified by extended pre-training of histopathology foundation models

L. Fournier; G. Haefliger; A. Vernhes; V. Jung; L. Loye et al. 

Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective

X. Sun; T. Belmpas; O. Senouf; E. Abbé; P. Frossard et al. 

Topology-aware reconstruction of cellular state landscapes from microscopy using self-supervised learning

E. Messori; D. M. Taha; L. Fournier; A. Foix Romero; V. Uhlmann et al. 

ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images

A. Choudhary; X. Sun; T. Mahendiran; O. Y. Senouf; D. Auberson et al. 

Response: Machine Learning Should Enrich, Not Replace, Human Deliberation in End-of-Life Decisions

G. Starke; L. Schopp; C. Meier; J. Baffou; D. Thanou et al. 

Graph-Dictionary Signal Model for Sparse Representation of Multivariate Data

W. Cappelletti; P. Frossard 

Learning Many Tasks via Weight-Space Geometry

Lane-Changing Maneuver Prediction With Urban Arterial Traffic Data From Drones

S. Kim; P. Frossard; N. Geroliminis 

Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling

A. Hazimeh; K. Wang; M. Collier; G. Baechler; E. Kokiopoulou et al. 

Graph Signal Separation With Learnable Spectral Filters

K. F. Niresi; D. Thanou; O. Fink 

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

B. Chen; C. Vincent-Cuaz; L. A. Schoenpflug; M. Madeira; L. Fournier et al. 

Continuous Simplicial Neural Networks

A. Einizade; D. Thanou; F. Malliaros; J. H. Giraldo 

A Fast Volumetric Capture and Reconstruction Pipeline for Dynamic Point Clouds and Gaussian Splats

A. Charisoudis; S. Croci; K. Y. Lam; P. Frossard; A. Smolic 

MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs

K. Wang; Y. QIN; N. Dimitriadis; A. Favero; P. Frossard 

Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises

A. Rahmani; P. Frossard 

Inductive Domain Transfer In Misspecified Simulation-Based Inference

O. Y. Senouf; A. Wehenkel; C. Vincent-Cuaz; E. Abbé; P. Frossard 

Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins

X. Sun; T. Mahendiran; O. Y. Senouf; D. Auberson; B. De Bruyne et al. 

AI-Driven multi-view learning from CCTA for myocardial infarction diagnosis

J. Gwizdała; A. Salihu; O. Senouf; D. Meier; D. C. Rotzinger et al. 

Machine Learning–Based Patient Preference Prediction: A Proof of Concept

G. Starke; L. Schopp; C. Meier; J. Baffou; D. Thanou et al. 

CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography

C. Challier; X. Sun; T. Mahendiran; O. Y. Senouf; B. De Bruyne et al. 

Physics-informed model of epileptic seizure dynamics

M. Ruch; A. Venkitaraman; O. Y. Senouf; P. Frossard 

Decoding the Interactions and Functions of Non-coding Rna with Artificial Intelligence

V. Jung; C. Vincent-Cuaz; C. Tumescheit; L. Fournier; M. Darsinou et al. 

Revealing Brain and Spinal Cord Functional Networks by Block-Structured Graph Laplacian Mixture Models

I. Ricchi; W. Cappelletti; E. Sareen; P. Frossard; D. Van De Ville 

OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context

P. Wawerek-López; N. M. Bidgoli; P. Frossard; A. Kaup; T. Maugey 

Extended pre-training of histopathology foundation models uncovers co-existing breast cancer archetypes characterized by RNA splicing or TGF-β dysregulation

L. M. Fournier; G. Haefliger; A. E. Vernhes; V. Jung; I. Letovanec et al. 

GraphTeacher: Transductive Fine-Tuning of Encoders through Graph Neural Networks

E. Koç; A. C. Aras; T. Alikasifoglu; A. Koç 

Efficient Adaptation for Speech Technology

Sequential Representation Learning via Static-Dynamic Conditional Disentanglement

M. C. Simon; P. Frossard; C. D. Vleeschouwer 

Informed machine learning models for advancing cardiac disease prognosis