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most citedUnified Cross-Modal Medical Image Synthesis with Hierarchical Mixture of Product-of-Experts

1 citations · 2 across the 9 of their papers we have counts for

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cs.CV2024★ 1 cited

Unified Cross-Modal Medical Image Synthesis with Hierarchical Mixture of Product-of-Experts

Reuben Dorent, Nazim Haouchine, Alexandra Golby +3

We propose a deep mixture of multimodal hierarchical variational auto-encoders called MMHVAE that synthesizes missing images from observed images in different modalities. MMHVAE's…

cs.CV2024

Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Maximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent +7

We present in this paper a novel approach for 3D/2D intraoperative registration during neurosurgery via cross-modal inverse neural rendering. Our approach separates implicit neural…

cs.CV2024

Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound

Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz +6

We propose in this paper a texture-invariant 2D keypoints descriptor specifically designed for matching preoperative Magnetic Resonance (MR) images with intraoperative Ultrasound (…

eess.IV2024

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

Reuben Dorent, Erickson Torio, Nazim Haouchine +5

Intraoperative ultrasound (iUS) imaging has the potential to improve surgical outcomes in brain surgery. However, its interpretation is challenging, even for expert neurosurgeons.…

eess.IV2024

Spatiotemporal Disentanglement of Arteriovenous Malformations in Digital Subtraction Angiography

Kathleen Baur, Xin Xiong, Erickson Torio +6

Although Digital Subtraction Angiography (DSA) is the most important imaging for visualizing cerebrovascular anatomy, its interpretation by clinicians remains difficult. This is pa…