most citedA 3D Cross-modal Keypoint Descriptor for MR-US Matching and Registration

1 citations

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5 papers

physics.med-ph2026

Revisiting XDoppler estimator for high spatiotemporal resolution volumetric axial velocity measurement using row-column arrays

Henri Leroy, Adrien Bertolo, Guillaume Goudot +3

Accurate volumetric velocity estimation is crucial in ultrasound imaging for both diagnostic and therapeutic applications. Traditional ultrasound systems, though effective for two-…

stat.AP2026

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…

cs.CV2026★ 1 cited

A 3D Cross-modal Keypoint Descriptor for MR-US Matching and Registration

Daniil Morozov, Reuben Dorent, Nazim Haouchine

Intraoperative registration of real-time ultrasound (iUS) to preoperative Magnetic Resonance Imaging (MRI) remains an unsolved problem due to severe modality-specific differences i…

stat.ME2026

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…

stat.ME2026

Calibrating confounding strength in sensitivity models for weighting estimators: a comparative review and a new method

Jean-Baptiste Baitairian, Bernard Sebastien, Rana Jreich +2

Causal inference is only valid when its underlying assumptions are satisfied, one of the most central being the ignorability or unconfoundedness assumption. However, this hypothesi…