821 citations
- InsermFR103 papers
- Sorbonne UniversitéFR83 papers
- Centre National de la Recherche ScientifiqueFR79 papers
- Pitié-Salpêtrière HospitalFR49 papers
- Institut du CerveauFR43 papers
- Université Paris CitéFR43 papers
- Sorbonne Paris CitéFR19 papers
- Université Paris-SaclayFR19 papers
- Institut national de recherche en sciences et technologies du numériqueFR16 papers
- Centre de Recherche des CordeliersFR11 papers
- Hôpital LariboisièreFR11 papers
- Hôpital Européen Georges-PompidouFR10 papers
142 papers
Prior-Data Fitted Networks for Causal Inference: a Simulation Study with Real-World Scenarios
Francisco Mourao, David Hajage, Daria Bystrova +4
Prior-Data Fitted Networks (PFNs) represent a paradigm shift in tabular data prediction. We present the principles of this new paradigm and evaluate two PFNs for estimating the ave…
Time Partitioning in Target Trial Emulation
Harold Tankpinou Zoumenou, Simon Ferreira, Charles Assaad +3
In target trial emulation, time partitioning enables researchers to handle time-varying confounders and immortal time bias with appropriate methods. Based on two clinical scenarios…
Data-driven registration and modeling of brain deformation for image-guided neurosurgery
Tiago Assis, Colin P. Galvin, Joshua P. Castillo +12
Accurate compensation of brain deformation is critical for reliable image-guided neurosurgery. Surgical manipulation and tumor resection induce tissue motion, causing preoperative…
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
Pascaline André, Charles Heitz, Evangelia Christodoulou +10
Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals…
Untangling Vascular Trees for Surgery and Interventional Radiology
Guillaume Houry, Tom Boeken, Stéphanie Allassonnière +1
The diffusion of minimally invasive, endovascular interventions motivates the development of visualization methods for complex vascular networks. We propose a planar representation…
Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
Francesco Galati, Daniele Falcetta, Rosa Cortese +3
The intricate morphology of brain vessels poses significant challenges for automatic segmentation models, which usually focus on a single imaging modality. However, accurately trea…